{"title":"Kit di Sviluppo per Computer","description":"\u003cp\u003eSchede di calcolo incluse per valutazione e sviluppo software; controlla le opzioni di modulo, supporto e accessori.\u003c\/p\u003e","products":[{"product_id":"dfrobot-lattepanda-mu-kit-x86-module-n100-8-16gb-or-i3-n305-16gb-lite-full-carrier-64gb-emmc-win10-11-ubuntu","title":"DFRobot LattePanda Mu Kit – Modulo x86 (N100 8\/16GB o i3-N305 16GB), Carrier Lite\/Full, 64GB eMMC, Win10\/11\/Ubuntu","description":"\u003ch2 data-start=\"168\" data-end=\"179\"\u003eOverview\u003c\/h2\u003e\n\u003cp data-start=\"180\" data-end=\"799\"\u003eLattePanda Mu è un \u003cstrong data-start=\"199\" data-end=\"215\"\u003ecomputer-on-module micro x86 di dimensioni 69.6 × 60 mm\u003c\/strong\u003e progettato per dispositivi embedded e edge. Il Mu Kit ti consente di scegliere il \u003cstrong data-start=\"316\" data-end=\"335\"\u003emodulo computer\u003c\/strong\u003e, \u003cstrong data-start=\"337\" data-end=\"354\"\u003escheda di supporto\u003c\/strong\u003e, \u003cstrong data-start=\"356\" data-end=\"367\"\u003eraffreddamento\u003c\/strong\u003e, \u003cstrong data-start=\"369\" data-end=\"386\"\u003ealimentatore\u003c\/strong\u003e e \u003cstrong data-start=\"392\" data-end=\"403\"\u003edisplay\u003c\/strong\u003e che si adattano al tuo progetto. Tutte le varianti Mu includono \u003cstrong data-start=\"451\" data-end=\"468\"\u003e64GB eMMC 5.1\u003c\/strong\u003e, espongono ampie I\/O ad alta velocità (fino a \u003cstrong data-start=\"509\" data-end=\"530\"\u003e9× linee PCIe 3.0\u003c\/strong\u003e, \u003cstrong data-start=\"532\" data-end=\"547\"\u003e2× SATA 3.0\u003c\/strong\u003e, \u003cstrong data-start=\"549\" data-end=\"569\"\u003efino a 4× USB 3.2\u003c\/strong\u003e, \u003cstrong data-start=\"571\" data-end=\"585\"\u003e8× USB 2.0\u003c\/strong\u003e, \u003cstrong data-start=\"587\" data-end=\"616\"\u003efino a 3× HDMI\/DisplayPort\u003c\/strong\u003e, GPIO espandibili\u003cstrong data-start=\"629\" data-end=\"638\"\u003e), e supportano \u003cstrong data-start=\"653\" data-end=\"670\"\u003eWindows 10\/11\u003c\/strong\u003e e \u003cstrong data-start=\"675\" data-end=\"685\"\u003eUbuntu\u003c\/strong\u003e. Il TDP è \u003cstrong data-start=\"694\" data-end=\"722\"\u003econfigurabile da 6 a 35 W\u003c\/strong\u003e, consentendo costruzioni silenziose senza ventola o sistemi attivi a raffreddamento più performanti.\u003c\/p\u003e\n\u003cp data-start=\"180\" data-end=\"799\"\u003e \u003c\/p\u003e\n\u003ch2 data-start=\"801\" data-end=\"821\"\u003ePerché si distingue\u003c\/h2\u003e\n\u003cul data-start=\"822\" data-end=\"1388\"\u003e\n\u003cli data-start=\"822\" data-end=\"979\"\u003e\n\u003cp data-start=\"824\" data-end=\"979\"\u003e\u003cstrong data-start=\"824\" data-end=\"848\"\u003ePrestazioni scalabili\u003c\/strong\u003e: scegli \u003cstrong data-start=\"855\" data-end=\"890\"\u003eIntel® N100 (4C, fino a 3.4 GHz)\u003c\/strong\u003e con \u003cstrong data-start=\"896\" data-end=\"918\"\u003e8GB o 16GB LPDDR5\u003c\/strong\u003e o \u003cstrong data-start=\"922\" data-end=\"976\"\u003eIntel® Core™ i3-N305 (8C, fino a 3.8 GHz) con 16GB\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"980\" data-end=\"1093\"\u003e\n\u003cp data-start=\"982\" data-end=\"1093\"\u003e\u003cstrong data-start=\"982\" data-end=\"996\"\u003eCalcolo di dimensioni carta\u003c\/strong\u003e per spazi ristretti; inserisci in hardware personalizzato utilizzando file di riferimento carrier open-source.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1094\" data-end=\"1227\"\u003e\n\u003cp data-start=\"1096\" data-end=\"1227\"\u003e\u003cstrong data-start=\"1096\" data-end=\"1118\"\u003eEspansione flessibile\u003c\/strong\u003e su schede carrier, inclusi PCIe, SATA, USB 3.2\/2.0, HDMI\/DP, UART (RS-232), I²C, e \u003cstrong data-start=\"1206\" data-end=\"1224\"\u003efino a 64 GPIO\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1228\" data-end=\"1331\"\u003e\n\u003cp data-start=\"1230\" data-end=\"1331\"\u003e\u003cstrong data-start=\"1230\" data-end=\"1257\"\u003eTDP regolabile (6–35 W)\u003c\/strong\u003e con opzioni di dissipatore di calore\/ventola corrispondenti per bilanciare termiche e prestazioni.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1332\" data-end=\"1388\"\u003e\n\u003cp data-start=\"1334\" data-end=\"1388\"\u003e\u003cstrong data-start=\"1334\" data-end=\"1346\"\u003eMulti-OS\u003c\/strong\u003e: Windows 10\/11 e Ubuntu pronti all'uso.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"1390\" data-end=\"1439\"\u003eOpzioni di configurazione (selezionabili in questo kit)\u003c\/h2\u003e\n\u003cp data-start=\"1440\" data-end=\"1459\"\u003e\u003cstrong data-start=\"1440\" data-end=\"1459\"\u003eModulo Computer\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"1460\" data-end=\"1590\"\u003e\n\u003cli data-start=\"1460\" data-end=\"1481\"\u003e\n\u003cp data-start=\"1462\" data-end=\"1481\"\u003e\u003cstrong data-start=\"1462\" data-end=\"1479\"\u003eN100, 8GB RAM\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1482\" data-end=\"1504\"\u003e\n\u003cp data-start=\"1484\" data-end=\"1504\"\u003e\u003cstrong data-start=\"1484\" data-end=\"1502\"\u003eN100, 16GB RAM\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1505\" data-end=\"1561\"\u003e\n\u003cp data-start=\"1507\" data-end=\"1561\"\u003e\u003cstrong data-start=\"1507\" data-end=\"1559\"\u003eN100, 8GB RAM con licenza Windows 11 Enterprise\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1562\" data-end=\"1590\"\u003e\n\u003cp data-start=\"1564\" data-end=\"1590\"\u003e\u003cstrong data-start=\"1564\" data-end=\"1590\"\u003eCore i3-N305, 16GB RAM\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1592\" data-end=\"1609\"\u003e\u003cstrong data-start=\"1592\" data-end=\"1609\"\u003ePiastra di supporto\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"1610\" data-end=\"1846\"\u003e\n\u003cli data-start=\"1610\" data-end=\"1748\"\u003e\n\u003cp data-start=\"1612\" data-end=\"1748\"\u003e\u003cstrong data-start=\"1612\" data-end=\"1628\"\u003eLite Carrier\u003c\/strong\u003e – sviluppo rapido con interfacce essenziali.\u003cbr data-start=\"1674\" data-end=\"1677\"\u003e\u003cem data-start=\"1679\" data-end=\"1686\"\u003eNota:\u003c\/em\u003e il **slot PCIe è disponibile solo quando alimentato a \u003cstrong data-start=\"1737\" data-end=\"1745\"\u003e12 V\u003c\/strong\u003e.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1749\" data-end=\"1846\"\u003e\n\u003cp data-start=\"1751\" data-end=\"1846\"\u003e\u003cstrong data-start=\"1751\" data-end=\"1787\"\u003ePiastra di valutazione a piena funzionalità\u003c\/strong\u003e – espone \u003cstrong data-start=\"1798\" data-end=\"1813\"\u003etutti i pin Mu\u003c\/strong\u003e per test HW\/SW completi.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1848\" data-end=\"1869\"\u003e\u003cstrong data-start=\"1848\" data-end=\"1869\"\u003eSoluzioni di Raffreddamento\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"1870\" data-end=\"2130\"\u003e\n\u003cli data-start=\"1870\" data-end=\"1982\"\u003e\n\u003cp data-start=\"1872\" data-end=\"1982\"\u003e\u003cstrong data-start=\"1872\" data-end=\"1892\"\u003eHeatsink Senza Ventola\u003c\/strong\u003e (grande) – supporta il funzionamento a bassa TDP (≈10 W senza ventola; TDP più elevato richiede ventola esterna).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1983\" data-end=\"2057\"\u003e\n\u003cp data-start=\"1985\" data-end=\"2057\"\u003e\u003cstrong data-start=\"1985\" data-end=\"2002\"\u003eHeatsink Sottile\u003c\/strong\u003e (profilo ultra-basso) – utilizzare con ventola esterna (≈15 W).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2058\" data-end=\"2130\"\u003e\n\u003cp data-start=\"2060\" data-end=\"2130\"\u003e\u003cstrong data-start=\"2060\" data-end=\"2077\"\u003eRaffreddatore Attivo\u003c\/strong\u003e – raffreddatore standard LattePanda per un massimo di \u003cstrong data-start=\"2117\" data-end=\"2125\"\u003e35 W\u003c\/strong\u003e TDP.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2132\" data-end=\"2169\"\u003e\u003cstrong data-start=\"2132\" data-end=\"2169\"\u003eAlimentatore \u0026amp; Display (opzionale)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"2170\" data-end=\"2325\"\u003e\n\u003cli data-start=\"2170\" data-end=\"2239\"\u003e\n\u003cp data-start=\"2172\" data-end=\"2239\"\u003e\u003cstrong data-start=\"2172\" data-end=\"2199\"\u003eAdattatore AC\/DC 19 V 90 W\u003c\/strong\u003e (Delta; compatibile con i carrier Mu).\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"2240\" data-end=\"2325\"\u003e\n\u003cp data-start=\"2242\" data-end=\"2325\"\u003e\u003cstrong data-start=\"2242\" data-end=\"2275\"\u003e7\" Display touch eDP 1024×600\u003c\/strong\u003e; \u003cstrong data-start=\"2277\" data-end=\"2286\"\u003e11.6\"\u003c\/strong\u003e opzione disponibile anche per HMI più grandi.\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"2327\" data-end=\"2347\"\u003eNote sulle prestazioni\u003c\/h2\u003e\n\u003cp data-start=\"2348\" data-end=\"2644\"\u003eMu offre risultati solidi in test di Geekbench sia per singolo che per multi-core, con \u003cstrong data-start=\"2429\" data-end=\"2444\"\u003eN305 \u0026gt; N100\u003c\/strong\u003e, e entrambi superano schede come Raspberry Pi 5 nei confronti mostrati. Utilizza un TDP più basso (≈6–10 W) per costruzioni silenziose ed efficienti, oppure aumenta fino a \u003cstrong data-start=\"2592\" data-end=\"2600\"\u003e35 W\u003c\/strong\u003e con raffreddamento attivo per il massimo throughput.\u003c\/p\u003e\n\u003ch2 data-start=\"2646\" data-end=\"2663\"\u003eSpecifiche\u003c\/h2\u003e\n\u003ch3 data-start=\"2665\" data-end=\"2692\"\u003eVarianti del modulo di calcolo\u003c\/h3\u003e\n\u003cdiv class=\"_tableContainer_1rjym_1\"\u003e\n\u003cdiv class=\"group w-fit _tableWrapper_1rjym_13 flex flex-col-reverse\" tabindex=\"-1\"\u003e\n\u003ctable data-start=\"2693\" data-end=\"3133\" class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead data-start=\"2693\" data-end=\"2785\"\u003e\n\u003ctr data-start=\"2693\" data-end=\"2785\"\u003e\n\u003cth data-start=\"2693\" data-end=\"2699\" data-col-size=\"sm\"\u003eSKU\u003c\/th\u003e\n\u003cth data-start=\"2699\" data-end=\"2705\" data-col-size=\"sm\"\u003eCPU\u003c\/th\u003e\n\u003cth data-start=\"2705\" data-end=\"2725\" data-col-size=\"sm\"\u003eCore \/ Max Turbo\u003c\/th\u003e\n\u003cth data-start=\"2725\" data-end=\"2758\" data-col-size=\"sm\"\u003eRAM (LPDDR5 4800 MT\/s, IB ECC)\u003c\/th\u003e\n\u003cth data-start=\"2758\" data-end=\"2765\" data-col-size=\"sm\"\u003eeMMC\u003c\/th\u003e\n\u003cth data-start=\"2765\" data-end=\"2785\" data-col-size=\"sm\"\u003eTDP configurabile\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"2812\" data-end=\"3133\"\u003e\n\u003ctr data-start=\"2812\" data-end=\"2918\"\u003e\n\u003ctd data-start=\"2812\" data-end=\"2826\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2814\" data-end=\"2825\"\u003eDFR1146\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2826\" data-end=\"2854\" data-col-size=\"sm\"\u003eProcessore Intel® \u003cstrong data-start=\"2845\" data-end=\"2853\"\u003eN100\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd data-start=\"2854\" data-end=\"2879\" data-col-size=\"sm\"\u003e4C \/ fino a \u003cstrong data-start=\"2867\" data-end=\"2878\"\u003e3.4 GHz\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd data-start=\"2879\" data-end=\"2889\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2881\" data-end=\"2888\"\u003e8GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2889\" data-end=\"2904\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2891\" data-end=\"2903\"\u003e64GB 5.1\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2904\" data-end=\"2918\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2906\" data-end=\"2916\"\u003e6–35 W\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"2919\" data-end=\"3026\"\u003e\n\u003ctd data-start=\"2919\" data-end=\"2933\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2921\" data-end=\"2932\"\u003eDFR1147\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2933\" data-end=\"2961\" data-col-size=\"sm\"\u003eProcessore Intel® \u003cstrong data-start=\"2952\" data-end=\"2960\"\u003eN100\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd data-start=\"2961\" data-end=\"2986\" data-col-size=\"sm\"\u003e4C \/ fino a \u003cstrong data-start=\"2974\" data-end=\"2985\"\u003e3.4 GHz\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd data-start=\"2986\" data-end=\"2997\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2988\" data-end=\"2996\"\u003e16GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"2997\" data-end=\"3012\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"2999\" data-end=\"3011\"\u003e64GB 5.1\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3012\" data-end=\"3026\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3014\" data-end=\"3024\"\u003e6–35 W\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3027\" data-end=\"3133\"\u003e\n\u003ctd data-start=\"3027\" data-end=\"3041\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3029\" data-end=\"3040\"\u003eDFR1149\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3041\" data-end=\"3068\" data-col-size=\"sm\"\u003eIntel® Core™ \u003cstrong data-start=\"3056\" data-end=\"3067\"\u003ei3-N305\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd data-start=\"3068\" data-end=\"3093\" data-col-size=\"sm\"\u003e8C \/ fino a \u003cstrong data-start=\"3081\" data-end=\"3092\"\u003e3.8 GHz\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd data-start=\"3093\" data-end=\"3104\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3095\" data-end=\"3103\"\u003e16GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3104\" data-end=\"3119\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3106\" data-end=\"3118\"\u003e64GB 5.1\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3119\" data-end=\"3133\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3121\" data-end=\"3131\"\u003e9–35 W\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 data-start=\"3135\" data-end=\"3168\"\u003eEspansione \u0026e I\/O (via carrier)\u003c\/h3\u003e\n\u003cul data-start=\"3169\" data-end=\"3421\"\u003e\n\u003cli data-start=\"3169\" data-end=\"3204\"\u003e\n\u003cp data-start=\"3171\" data-end=\"3204\"\u003e\u003cstrong data-start=\"3171\" data-end=\"3184\"\u003ePCIe 3.0:\u003c\/strong\u003e fino a \u003cstrong data-start=\"3191\" data-end=\"3202\"\u003e9 linee\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3205\" data-end=\"3240\"\u003e\n\u003cp data-start=\"3207\" data-end=\"3240\"\u003e\u003cstrong data-start=\"3207\" data-end=\"3220\"\u003eSATA 3.0:\u003c\/strong\u003e fino a \u003cstrong data-start=\"3227\" data-end=\"3238\"\u003e2 porte\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3241\" data-end=\"3290\"\u003e\n\u003cp data-start=\"3243\" data-end=\"3290\"\u003e\u003cstrong data-start=\"3243\" data-end=\"3251\"\u003eUSB:\u003c\/strong\u003e \u003cstrong data-start=\"3252\" data-end=\"3272\"\u003efino a 4× USB 3.2\u003c\/strong\u003e, \u003cstrong data-start=\"3274\" data-end=\"3288\"\u003e8× USB 2.0\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3291\" data-end=\"3337\"\u003e\n\u003cp data-start=\"3293\" data-end=\"3337\"\u003e\u003cstrong data-start=\"3293\" data-end=\"3305\"\u003eDisplay:\u003c\/strong\u003e \u003cstrong data-start=\"3306\" data-end=\"3335\"\u003efino a 3× HDMI\/DisplayPort\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3338\" data-end=\"3421\"\u003e\n\u003cp data-start=\"3340\" data-end=\"3421\"\u003e\u003cstrong data-start=\"3340\" data-end=\"3359\"\u003eSerial \u0026e bus:\u003c\/strong\u003e \u003cstrong data-start=\"3360\" data-end=\"3380\"\u003e4× UART (RS-232)\u003c\/strong\u003e, \u003cstrong data-start=\"3382\" data-end=\"3392\"\u003e4× I²C\u003c\/strong\u003e, \u003cstrong data-start=\"3394\" data-end=\"3421\"\u003eespandibile fino a 64× GPIOs\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 data-start=\"3423\" data-end=\"3459\"\u003eOpzioni termiche (corrispondenti a TDP)\u003c\/h3\u003e\n\u003cdiv class=\"_tableContainer_1rjym_1\"\u003e\n\u003cdiv class=\"group w-fit _tableWrapper_1rjym_13 flex flex-col-reverse\" tabindex=\"-1\"\u003e\n\u003ctable data-start=\"3460\" data-end=\"3735\" class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead data-start=\"3460\" data-end=\"3509\"\u003e\n\u003ctr data-start=\"3460\" data-end=\"3509\"\u003e\n\u003cth data-start=\"3460\" data-end=\"3474\" data-col-size=\"sm\"\u003eSKU di raffreddamento\u003c\/th\u003e\n\u003cth data-start=\"3474\" data-end=\"3481\" data-col-size=\"sm\"\u003eTipo\u003c\/th\u003e\n\u003cth data-start=\"3481\" data-end=\"3509\" data-col-size=\"md\"\u003eCapacità tipica \/ Note\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody data-start=\"3524\" data-end=\"3735\"\u003e\n\u003ctr data-start=\"3524\" data-end=\"3572\"\u003e\n\u003ctd data-start=\"3524\" data-end=\"3538\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3526\" data-end=\"3537\"\u003eFIT0981\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3538\" data-end=\"3554\" data-col-size=\"sm\"\u003eRaffreddatore attivo\u003c\/td\u003e\n\u003ctd data-start=\"3554\" data-end=\"3572\" data-col-size=\"md\"\u003eFino a \u003cstrong data-start=\"3562\" data-end=\"3570\"\u003e35 W\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3573\" data-end=\"3667\"\u003e\n\u003ctd data-start=\"3573\" data-end=\"3587\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3575\" data-end=\"3586\"\u003eFIT0989\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3587\" data-end=\"3612\" data-col-size=\"sm\"\u003eGrande dissipatore di calore senza ventola\u003c\/td\u003e\n\u003ctd data-start=\"3612\" data-end=\"3667\" data-col-size=\"md\"\u003e\n\u003cstrong data-start=\"3614\" data-end=\"3631\"\u003e≈10 W senza ventola\u003c\/strong\u003e, \u003cstrong data-start=\"3633\" data-end=\"3665\"\u003efino a 35 W con ventola esterna\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-start=\"3668\" data-end=\"3735\"\u003e\n\u003ctd data-start=\"3668\" data-end=\"3682\" data-col-size=\"sm\"\u003e\u003cstrong data-start=\"3670\" data-end=\"3681\"\u003eFIT0982\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd data-start=\"3682\" data-end=\"3704\" data-col-size=\"sm\"\u003eDissipatore di calore ultra-sottile\u003c\/td\u003e\n\u003ctd data-start=\"3704\" data-end=\"3735\" data-col-size=\"md\"\u003e\u003cstrong data-start=\"3706\" data-end=\"3733\"\u003e≈15 W con ventola esterna\u003c\/strong\u003e\u003c\/td\u003e\u003c\/tbody\u003e\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 data-start=\"3737\" data-end=\"3757\"\u003eFattore di forma \u0026e OS\u003c\/h3\u003e\n\u003cul data-start=\"3758\" data-end=\"3856\"\u003e\n\u003cli data-start=\"3758\" data-end=\"3795\"\u003e\n\u003cp data-start=\"3760\" data-end=\"3795\"\u003e\u003cstrong data-start=\"3760\" data-end=\"3776\"\u003eDimensione del modulo:\u003c\/strong\u003e \u003cstrong data-start=\"3777\" data-end=\"3793\"\u003e69.6 × 60 mm\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"3796\" data-end=\"3856\"\u003e\n\u003cp data-start=\"3798\" data-end=\"3856\"\u003e\u003cstrong data-start=\"3798\" data-end=\"3813\"\u003eSupporto OS:\u003c\/strong\u003e \u003cstrong data-start=\"3814\" data-end=\"3828\"\u003eWindows 10\u003c\/strong\u003e, \u003cstrong data-start=\"3830\" data-end=\"3844\"\u003eWindows 11\u003c\/strong\u003e, \u003cstrong data-start=\"3846\" data-end=\"3856\"\u003eUbuntu\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-start=\"3858\" data-end=\"3873\"\u003eContenuto del kit\u003c\/h2\u003e\n\u003cp data-start=\"3874\" data-end=\"4111\"\u003eVaria in base alle tue selezioni; include almeno il \u003cstrong data-start=\"3928\" data-end=\"3967\"\u003emodulo di calcolo LattePanda Mu scelto\u003c\/strong\u003e e \u003cstrong data-start=\"3972\" data-end=\"3998\"\u003ela scheda di interfaccia selezionata\u003c\/strong\u003e. Le selezioni opzionali aggiungono la \u003cstrong data-start=\"4028\" data-end=\"4048\"\u003esoluzione di raffreddamento\u003c\/strong\u003e, \u003cstrong data-start=\"4050\" data-end=\"4071\"\u003eadattatore 19 V\/90 W\u003c\/strong\u003e, e \u003cstrong data-start=\"4077\" data-end=\"4110\"\u003e7\" o 11.6\" display touch eDP\u003c\/strong\u003e.\u003c\/p\u003e\n\u003ch2 data-start=\"4113\" data-end=\"4136\"\u003eApplicazioni tipiche\u003c\/h2\u003e\n\u003cp data-start=\"4137\" data-end=\"4335\"\u003eTerminali portatili, chioschi compatti e HMI, robot di servizio o interazione, gateway AI edge, controllori industriali e PC embedded personalizzati dove sono richiesti compatibilità x86 e I\/O ad alta velocità.\u003c\/p\u003e\n\u003ch2 data-start=\"4337\" data-end=\"4375\"\u003eRisorse per sviluppatori \u0026e personalizzazione\u003c\/h2\u003e\n\u003cp data-start=\"4376\" data-end=\"4611\"\u003eLattePanda fornisce \u003cstrong data-start=\"4396\" data-end=\"4445\"\u003efile e librerie della scheda di interfaccia open-source\u003c\/strong\u003e per accelerare il design della scheda di interfaccia personalizzata.Il team offre anche \u003cstrong data-start=\"4504\" data-end=\"4573\"\u003eschede di carrier personalizzate, schermate di avvio, funzionalità BIOS e immagini di sistema operativo\u003c\/strong\u003e su richiesta (\u003ca rel=\"noopener\" data-start=\"4586\" data-end=\"4609\" class=\"decorated-link cursor-pointer\"\u003esolution@lattepanda.com\u003cspan class=\"ms-0.5 inline-block align-middle leading-none\" aria-hidden=\"true\"\u003e\u003csvg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"20\" viewbox=\"0 0 20 20\" height=\"20\" fill=\"currentColor\" data-rtl-flip=\"\" class=\"block h-[0.75em] w-[0.75em] stroke-current stroke-[0.75]\"\u003e\u003cpath d=\"M14.3349 13.3301V6.60645L5.47065 15.4707C5.21095 15.7304 4.78895 15.7304 4.52925 15.4707C4.26955 15.211 4.26955 14.789 4.52925 14.5293L13.3935 5.66504H6.66011C6.29284 5.66504 5.99507 5.36727 5.99507 5C5.99507 4.63273 6.29284 4.33496 6.66011 4.33496H14.9999L15.1337 4.34863C15.4369 4.41057 15.665 4.67857 15.665 5V13.3301C15.6649 13.6973 15.3672 13.9951 14.9999 13.9951C14.6327 13.9951 14.335 13.6973 14.3349 13.3301Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003c\/span\u003e\u003c\/a\u003e).\u003c\/p\u003e\n\u003cdiv id=\"Introduction\" class=\"content Introduction\"\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2902.html\" target=\"_blank\"\u003eProcessore N305 Octa-Core (16GB RAM)\u003c\/a\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDotato di un processore Intel N305 con potenza di elaborazione migliorata, questa versione è progettata\u003cspan\u003e \u003c\/span\u003e\u003cb\u003eper compiti impegnativi che richiedono prestazioni computazionali superiori.\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eOffre un eccellente equilibrio tra prestazioni ed efficienza energetica, adatto per applicazioni con carichi di lavoro più intensivi.\u003c\/p\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cimg title=\"LattePanda Mu x86 compute module outperforming benchmark\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/lattepanda-mu-kit-EoXGb.webp?v=1757907755\" alt=\"LattePanda Mu x86 compute module outperforming benchmark\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/dfrobot\"\u003eDFRobot\u003c\/a\u003e I risultati del benchmark del LattePanda Mu confrontano le prestazioni multi-core e single-core tra vari processori, inclusi Intel Core i3-N305, N100, Raspberry Pi 5, Celeron N5105 e Atom x5-Z8350, con punteggi da Geekbench 6.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cimg title=\"LattePanda Mu x86 compute module selection guide\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-uRbwX.webp?v=1757907761\" alt=\"LattePanda Mu Kit, LattePanda Mu x86 compute module selection guide\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eDimensione di una Carta\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eNonostante le sue piccole dimensioni di 69,6 mm x 60 mm, la dimensione tascabile del modulo di calcolo LattePanda Mu x86 consente l'integrazione in dispositivi con spazio limitato, offrendo potenti capacità di calcolo senza occupare molto spazio.\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg title=\"Card-Sized LattePanda Mu x86 compute module\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/lattepanda-mu-kit-fXWV7.webp?v=1757907768\" alt=\"LattePanda Mu Kit, Card-Sized LattePanda Mu x86 compute module\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eFlessibilità nelle Prestazioni e nell'Energia\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIl TDP del processore può essere regolato da 6W a 35W, fornendo flessibilità nell'uso dell'energia e nell'emissione di calore. L'impostazione a 6W consente un funzionamento efficiente con calore minimo e raffreddamento passivo silenzioso, mentre l'impostazione a 35W offre prestazioni robuste ma richiede un raffreddamento attivo.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cimg title=\"LattePanda Mu x86 compute module Thermal Design Power\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-MRe27.webp?v=1757907782\" alt=\"LattePanda Mu x86 compute module Thermal Design Power\"\u003e\n\u003cp\u003eTre soluzioni di raffreddamento per LattePanda Mu: FIT0981 (raffreddatore con ventola da 35W), FIT0989 (senza ventola da 10W, 35W con ventola), FIT0982 (15W con ventola esterna). Le caratteristiche includono design standard, dissipatore enorme e ultra-sottile.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003ePins di espansione flessibili\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda Mu espone numerosi pin, come 3 HDMI\/DisplayPort, 8 USB 2.0, fino a 4 USB 3.2, 9 corsie PCIe 3.0, 2 SATA 3.0 e 64 GPIO espandibili. Questo offre una flessibilità e un'espandibilità senza pari, permettendoti di creare la soluzione specifica.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\u003cimg title=\"LattePanda Mu x86 compute module with Rich Expansion Pins\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-XnsAf.webp?v=1757907792\" alt=\"LattePanda Mu Kit, LattePanda Mu x86 compute module with Rich Expansion Pins\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eSchede di carrier - Espandere possibilità infinite\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eDFRobot offre una\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2822.html\" target=\"_blank\"\u003escheda di carrier leggera per LattePanda Mu\u003c\/a\u003e, offrendo una piattaforma di sviluppo veloce con interfacce essenziali per una verifica del design efficiente. Inoltre, una\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2821.html\" target=\"_blank\"\u003escheda di valutazione a piena funzionalità\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003eè disponibile, esponendo tutti i pin del LattePanda Mu per ampi test hardware e software.\u003c\/p\u003e\n\u003cp\u003eNota: Lo slot PCIe della scheda leggera è disponibile solo quando si utilizza un alimentatore da 12V.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\u003cimg title=\"LattePanda Mu x86 compute module Carrier Boards\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/LattePanda-Mu-Kit-ZpTsD.webp?v=1757907801\" alt=\"LattePanda Mu Kit, LattePanda Mu x86 compute module Carrier Boards\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003eRendere la scheda più semplice e facile\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLattePanda offre file e librerie della scheda di carrier open-source come materiali di riferimento, consentendoti di ottimizzare il design della scheda di carrier per soddisfare le tue esigenze specifiche, riducendo significativamente i tempi di sviluppo.\u003c\/p\u003e\n\u003cdiv\u003e\u003cimg title=\"LattePanda Mu x86 compute module open-source carrier board files and libraries\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-PfueJ.webp?v=1757907815\" alt=\"LattePanda Mu x86 compute module open-source carrier board files and libraries\"\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSupporto Multi-Sistema\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIl computer su modulo LattePanda Mu x86 supporta più sistemi operativi, tra cui Windows 10, Windows 11 e Ubuntu, garantendo che ce ne sia sempre uno che soddisfi le tue esigenze.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cimg title=\"LattePanda Mu x86 compute module supports multiple operating systems\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-je5yq.webp?v=1757907834\" alt=\"LattePanda Mu x86 compute module supports multiple operating systems\"\u003e\n\u003cp\u003eIl LattePanda Mu Kit supporta più sistemi operativi e piattaforme software come Windows, Ubuntu e Debian. Lo sfondo mostra codice informatico e chat relative ai server, evidenziando il suo design orientato alla tecnologia.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eSoluzioni Personalizzate\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIl team di LattePanda offre servizi personalizzati, inclusi schede di carrier personalizzate, schermate di avvio, funzionalità BIOS, sistemi operativi, ecc. Se hai requisiti specifici, non esitare a contattarci a\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"http:\/\/solution@lattepanda.com\/\" target=\"_blank\"\u003esolution@lattepanda.com\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003eIl team di LattePanda è dedicato a fornire supporto tempestivo e professionale per soddisfare le tue esigenze di personalizzazione.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-3Fbxe.webp?v=1757907845\" alt=\"LattePanda Mu Kit, Customized solutions include carrier boards, boot screens, BIOS adjustments, and operating systems.\"\u003e\n\u003cp\u003eSoluzioni Personalizzate: Schede di Carrier, Schermate di Avvio, Regolazioni BIOS, Sistemi Operativi.\u003c\/p\u003e\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAltri accessori che puoi scegliere in questo kit\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2827.html\" target=\"_blank\"\u003eAdattatore AC\/DC 19V 90W (Compatibile con LattePanda Mu)\u003c\/a\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eL'adattatore AC\/DC Delta 19V 90W è un adattatore di alimentazione versatile e di alta qualità con una gamma di tipi di spina, che fornisce energia affidabile e stabile per vari dispositivi, incluso il Carrier LattePanda Mu.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003ca href=\"https:\/\/www.dfrobot.com\/product-2827.html\" target=\"_blank\"\u003e\u003cimg title=\"19V 90W AC\/DC Adapter (Compatible with LattePanda MU)\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-0YuwO.webp?v=1757907858\" alt=\"19V 90W AC\/DC Adapter (Compatible with LattePanda MU)\"\u003e\u003c\/a\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2827.html\" target=\"_blank\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cb\u003e\u003ca href=\"https:\/\/www.dfrobot.com\/product-2763.html\" target=\"_blank\"\u003eDisplay Touch 7'' 1024x600 (eDP) per LattePanda Mu \/ LattePanda Sigma\u003c\/a\u003e\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIl Display Touch per LattePanda Sigma è un display di alta qualità e versatile progettato per progetti HMI e portatili, offrendo eccellenti effetti visivi, ampi angoli di visione, funzionalità multi-touch e integrazione senza soluzione di continuità con il modello LattePanda Sigma.\u003ca href=\"https:\/\/www.dfrobot.com\/product-2763.html\" target=\"_blank\"\u003e\u003cimg title=\"7'' 1024x600 Touch Display (eDP) for LattePanda Mu \/ LattePanda Sigma\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/lattepanda-mu-kit-l4Vcb.webp?v=1757907870\" alt=\"7'' 1024x600 Touch Display (eDP) for LattePanda Mu \/ LattePanda Sigma\"\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Applications\" class=\"content Applications\"\u003e\n\u003ch4\u003eApplicazioni\u003c\/h4\u003e\n\u003cdiv\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/latte-panda-mu-kit-X1A03.webp?v=1757907883\" alt=\"LattePanda Mu Kit, Cooling solutions for low-power devices, including fanless heatsinks that support up to 10W without fans.\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Documents\" class=\"content Documents\"\u003e\n\u003ch4\u003eDocumenti\u003c\/h4\u003e\n\u003cdiv\u003e\u003ca href=\"https:\/\/github.com\/LattePandaTeam\/LattePanda-Mu\" target=\"_blank\"\u003eRepository open-source\u003c\/a\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp data-start=\"4376\" data-end=\"4611\"\u003e \u003c\/p\u003e\n\u003cp data-start=\"4376\" data-end=\"4611\"\u003e \u003c\/p\u003e","brand":"DFRobot","offers":[{"title":"N100 CPU 8GB RAM \/ No","offer_id":47755570741472,"sku":"LPMu-1","price":492.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Lite Carrier","offer_id":47755570774240,"sku":"LPMu-2","price":538.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Full Carrier","offer_id":47755570807008,"sku":"LPMu-3","price":652.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Lite Carrier + Power","offer_id":47755570839776,"sku":"LPMu-4","price":561.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Full Carrier + Power","offer_id":47755570872544,"sku":"LPMu-5","price":674.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Lite Carrier + Power + Ventola","offer_id":47755570905312,"sku":"LPMu-6","price":594.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Carrier completo + Potenza + Ventola","offer_id":47755570938080,"sku":"LPMu-7","price":709.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Carrier completo + Potenza + Ventola + Fotocamera 5MP","offer_id":47755570970848,"sku":"LPMu-8","price":764.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Carrier completo + Potenza + Ventola + Fotocamera da 5MP + 7\" Display","offer_id":47755571003616,"sku":"LPMu-9","price":924.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 8GB RAM \/ Carrier completo + Alimentazione + Ventola + Fotocamera 5MP + 7\" Display + Cavo media","offer_id":47755571036384,"sku":"LPMu-10","price":974.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ No","offer_id":47755571069152,"sku":"LPMu-11","price":502.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Lite Carrier","offer_id":47755571101920,"sku":"LPMu-12","price":548.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Full Carrier","offer_id":47755571134688,"sku":"LPMu-13","price":662.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Lite Carrier + Power","offer_id":47755571167456,"sku":"LPMu-14","price":571.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Full Carrier + Power","offer_id":47755571200224,"sku":"LPMu-15","price":684.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Lite Carrier + Power + Ventola","offer_id":47755571232992,"sku":"LPMu-16","price":604.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Carrier completo + Potenza + Ventola","offer_id":47755571265760,"sku":"LPMu-17","price":719.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Carrier completo + Potenza + Ventola + Fotocamera 5MP","offer_id":47755571298528,"sku":"LPMu-18","price":774.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Carrier completo + Potenza + Ventola + Fotocamera da 5MP + 7\" Display","offer_id":47755571331296,"sku":"LPMu-19","price":934.0,"currency_code":"USD","in_stock":true},{"title":"N100 CPU 16GB RAM \/ Carrier completo + Alimentazione + Ventola + Fotocamera 5MP + 7\" Display + Cavo media","offer_id":47755571364064,"sku":"LPMu-20","price":985.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ No","offer_id":47755571396832,"sku":"LPMu-21","price":602.0,"currency_code":"USD","in_stock":false},{"title":"N305 CPU 16GB RAM \/ Lite Carrier","offer_id":47755571429600,"sku":"LPMu-22","price":648.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Full Carrier","offer_id":47755571462368,"sku":"LPMu-23","price":762.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Lite Carrier + Power","offer_id":47755571495136,"sku":"LPMu-24","price":671.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Full Carrier + Power","offer_id":47755571527904,"sku":"LPMu-25","price":784.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Lite Carrier + Power + Ventola","offer_id":47755571560672,"sku":"LPMu-26","price":704.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Carrier completo + Potenza + Ventola","offer_id":47755571593440,"sku":"LPMu-27","price":819.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Carrier completo + Potenza + Ventola + Fotocamera 5MP","offer_id":47755571626208,"sku":"LPMu-28","price":874.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Carrier completo + Potenza + Ventola + Fotocamera da 5MP + 7\" Display","offer_id":47755571658976,"sku":"LPMu-29","price":1034.0,"currency_code":"USD","in_stock":true},{"title":"N305 CPU 16GB RAM \/ Carrier completo + Alimentazione + Ventola + Fotocamera 5MP + 7\" Display + Cavo media","offer_id":47755571691744,"sku":"LPMu-30","price":1085.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/61rnas-VRiL._AC_CR0_0_0_0_SX615_SY462.jpg?v=1757901039"},{"product_id":"nvidia®-jetson-orin™-nano-super-developer-kit","title":"NVIDIA Jetson Orin Nano Super Developer Kit, 67 TOPS, USB 3.2 Gen2, 2x M.2 Key M, Wi‑Fi, DP 1.2","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\n\u003cp\u003eIl Kit di Sviluppo Super NVIDIA Jetson Orin Nano è un kit AI edge compatto costruito attorno al modulo Jetson Orin Nano da 8GB, che offre fino a 67 TOPS di prestazioni AI—un miglioramento di 1,7× rispetto al \u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e Kit di Sviluppo Orin Nano originale. Combina una GPU architettura Ampere (1.024 core CUDA, 32 core Tensor) con una CPU Arm Cortex‑A78AE a 6 core per abilitare più pipeline AI concorrenti con bassa potenza e bassa latenza. Il design delle dimensioni di una mano (100mm x 79mm x 21mm) integra ricche I\/O tra cui 4x USB 3.2 Gen2, DP 1.2, 2x M.2 Key M per SSD, uno slot M.2 Key E con un modulo Wi‑Fi\/Bluetooth preinstallato, microSD, 2x MIPI CSI‑2, Gigabit Ethernet e un header di espansione a 40 pin. Sono inclusi un dissipatore di calore con ventola e un adattatore di alimentazione.\u003c\/p\u003e\n\u003ch2\u003eCaratteristiche Principali\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eFino a 67 TOPS INT8 (Sparso) di prestazioni AI su Jetson Orin Nano 8GB; GPU Ampere e CPU Arm a 6 core per inferenza ad alta capacità.\u003c\/li\u003e\u003cli\u003eDimensioni compatte: 100mm x 79mm x 21mm; include dissipatore con ventola e alimentatore.\u003c\/li\u003e\n\u003cli\u003eRich I\/O per espansione: 4x USB 3.2 Gen2, 1x USB Type‑C (UFP), DP 1.2 (+MST), 2x MIPI CSI‑2 (22‑pin), 1x Gigabit Ethernet, 1x intestazione di espansione a 40 pin, 1x intestazione di controllo\/UART a 12 pin, 1x CAN, 1x ventola a 4 pin (5V PWM).\u003c\/li\u003e\n\u003cli\u003eMemoria e wireless: 1x slot microSD; 2x M.2 Key M per SSD (PCIe Gen3); 1x M.2 Key E con un modulo combo Wi‑Fi\/Bluetooth preinstallato.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eNote\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eFirmware: Le unità vengono spedite con firmware di fabbrica più vecchio che NON è compatibile con JetPack 6.x. Aggiornare all'ultima versione del firmware prima di utilizzare una scheda microSD flashata con un'immagine JetPack 6.x. Scarica software e aggiornamenti a \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\" rel=\"noopener\" target=\"_blank\"\u003equesto link\u003c\/a\u003e.\u003c\/li\u003e\n\u003cli\u003eRiferimento correlato: \u003ca href=\"https:\/\/www.seeedstudio.com\/reComputer-Super-J4012-p-6443.html\" rel=\"noopener\" target=\"_blank\"\u003ereComputer Super J4012\u003c\/a\u003e utilizza un modulo Jetson Orin NX da 16GB e offre fino a 157 TOPS in modalità MAXN Super.\u003c\/li\u003ehtml\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifiche\u003c\/h2\u003e\n\u003ch3\u003eConfronto Configurazione\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKit di Sviluppo NVIDIA Jetson Orin Nano (originale)\u003c\/td\u003e\n\u003ctd\u003eKit di Sviluppo Super NVIDIA Jetson Orin Nano\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eArchitettura NVIDIA Ampere; 1.024 CUDA Cores; 32 Tensor Cores; 635 MHz\u003c\/td\u003e\n\u003ctd\u003eArchitettura NVIDIA Ampere; 1.024 CUDA Cores; 32 Tensor Cores; 1.020MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrestazioni AI\u003c\/td\u003e\n\u003ctd\u003e40 INT8 TOPS (Sparsa); 20 INT8 TOPS (Densa); 10 FP16 TFLOPs\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (Sparsa); 33 TOPS (Densa); 17 FP16 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eCPU Arm Cortex‑A78AE v8.2 64‑bit a 6 core; 1,5 GHz\u003c\/td\u003e\n\u003ctd\u003eCPU Arm Cortex‑A78AE v8.2 64‑bit a 6 core; 1.\n7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑bit LPDDR5; 68GB\/s\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑bit LPDDR5; 102GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza del modulo\u003c\/td\u003e\n\u003ctd\u003e7W | 15W\u003c\/td\u003e\n\u003ctd\u003e7W | 15W | 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eJetson Orin Nano Sistema su Modulo\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrestazioni AI\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano 8GB con slot per scheda SD sul modulo – 67 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eArchitettura NVIDIA Ampere con 1.024 core NVIDIA® CUDA® e 32 core Tensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eCPU Arm® Cortex®‑A78AE v8.2 a 6 core 64‑bit; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e8GB 128‑bit LPDDR5; 102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCodificatore Video\u003c\/td\u003e\n\u003ctd\u003e1080p30 supportato da 1–2 core CPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDecodificatore Video\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza\u003c\/td\u003e\n\u003ctd\u003e7W–25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003ePiano di supporto\u003c\/h3\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e1x slot microSD (schede UHS‑1 fino alla modalità SDR104)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e1x Ethernet Gigabit (10\/100\/1000M)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003eM.2 Key M: 4x PCIe GEN3; 2x PCIe GEN3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Key E\u003c\/td\u003e\n\u003ctd\u003e1x M.2 Key E (modulo combo Wi‑Fi\/Bluetooth preinstallato); PCIe (x1), USB 2.0, UART, I2S e I2C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4x USB Type‑A 3.2 Gen2; 1x Type‑C per UFP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera CSI\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI‑2 (22 pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x DP 1.2 (+MST) connettore\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVentola\u003c\/td\u003e\n\u003ctd\u003e1x connettore per ventola a 4 pin (5V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCAN\u003c\/td\u003e\n\u003ctd\u003e1x CAN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEspansione\u003c\/td\u003e\n\u003ctd\u003e1x intestazione di espansione a 40 pin; 1x intestazione di controllo e UART a 12 pin; RTC 2 pin (supporta CR1220, non incluso)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlimentazione\u003c\/td\u003e\n\u003ctd\u003e9V–19V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensioni meccaniche (L x P x A)\u003c\/td\u003e\n\u003ctd\u003e100mm x 79mm x 21mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePeso del prodotto\u003c\/td\u003e\n\u003ctd\u003e0.176 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGaranzia\u003c\/td\u003e\n\u003ctd\u003eGaranzia di 1 anno solo per uso di sviluppo\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eKit di Sviluppo Super NVIDIA Jetson Orin Nano\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAdattatore di Alimentazione 19V\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCavo di Alimentazione Tipo B (US, JP, CA, PH)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCavo di Alimentazione Tipo I (CN)\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEtichetta UPC\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGuida Rapida e di Supporto\u003c\/td\u003e\n\u003ctd\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003eArticoli non inclusi\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003escheda microSD (64GB UHS‑1 o superiore consigliato)\u003c\/li\u003e\n\u003cli\u003etastiera e mouse USB\u003c\/li\u003e\n\u003cli\u003emonitor del computer\u003c\/li\u003e\n\u003cli\u003ecavo USB\u003c\/li\u003e\n\u003cli\u003escheda NVMe SSD\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eApplicazioni\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eAnalisi Video AI\u003c\/li\u003e\n\u003cli\u003eVisione Artificiale\u003c\/li\u003e\u003cli\u003eRobot Mobile Autonomo (AMR)\u003c\/li\u003e\n\u003cli\u003eAI Generativa\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDocumenti\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/jetson-orin-datasheet-nano-developer-kit-3575392-r2.pdf\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA® Jetson Orin™ Nano Super Developer Kit\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\" rel=\"noopener\" target=\"_blank\"\u003eCatalogo Hardware NVIDIA Jetson di Seeed\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDettagli\u003c\/h2\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano Dev Kit, The design integrates rich I\/O including USB, DP, M.2, microSD, MIPI CSI-2, Ethernet, and an expansion header.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-Dev-Kit-T8Ljb.png?v=1759841539\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47839072288992,"sku":"102110839","price":749.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/2-102110839-nvidia-jetson-orin-nano-developer-kit.jpg?v=1759840753"},{"product_id":"nvidia-jetson-agx-orin-64gb-developer-kit","title":"NVIDIA Jetson AGX Orin 64GB Kit di Sviluppo – 275 TOPS Edge AI, CPU 12-core, 64GB LPDDR5, 64GB eMMC, PCIe Gen4, 10GbE","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl Kit di Sviluppo NVIDIA Jetson AGX Orin 64GB rappresenta un importante passo avanti per la robotica e l'AI edge. Questo Kit di Sviluppo offre fino a 275 TOPS di prestazioni AI in un fattore di forma compatto con un intervallo di potenza configurabile di 15W–60W, offrendo più di 8 volte le prestazioni AI del Jetson AGX Xavier per la costruzione di robot avanzati, macchine autonome e sistemi di analisi in tempo reale. Gli sviluppatori possono implementare modelli grandi e complessi per la comprensione del linguaggio naturale, la percezione 3D e la fusione multi-sensore sulla stessa piattaforma.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePrestazioni AI edge: fino a 275 TOPS; più di 8 volte le prestazioni del Jetson AGX Xavier; potenza configurabile di 15W–60W.\u003c\/li\u003e\n\u003cli\u003eMemoria e archiviazione onboard: 64GB eMMC con 64GB DRAM e 204 GB\/s di larghezza di banda della memoria.\u003c\/li\u003e\n\u003cli\u003eI\/O ad alta velocità per carichi di lavoro multi-sensore: 22 linee PCIe Gen4, 1× 10GbE, DisplayPort, 16 linee MIPI CSI‑2, USB 3.2 e un connettore a 40 pin.\u003c\/li\u003e\n\u003cli\u003eSupporto JetPack 6.0: basato su Linux 36.2 fornendo il kernel Linux 5.15, bootloader basato su UEFI, sistema di file root di Ubuntu 22.04, driver NVIDIA, firmware richiesto, toolchain e altro.\u003c\/li\u003e\n\u003cli\u003eNota: Il Jetson AGX Orin Developer Kit è stato aggiornato con 64GB di memoria. Le prestazioni sono le stesse della versione originale da 32GB, ad eccezione della capacità di memoria.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ch3\u003eModulo Jetson AGX Orin (Sistema su Modulo)\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePrestazioni AI\u003c\/td\u003e\n\u003ctd\u003eJetson AGX Orin 64GB – 275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eArchitettura NVIDIA Ampere con 2048 core NVIDIA CUDA e 64 core Tensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eCPU Arm Cortex‑A78AE v8.2 a 12 core 64 bit; 3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcceleratore DL\u003c\/td\u003e\n\u003ctd\u003e2× NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcceleratore Vision\u003c\/td\u003e\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e64GB LPDDR5 a 256 bit, 204.8GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCodifica Video (H.265)\u003c\/td\u003e\n\u003ctd\u003e2× 4K60 | 4× 4K30 | 8× 1080p60 | 16× 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDecodifica Video (H.265)\u003c\/td\u003e\n\u003ctd\u003e1× 8K30 | 3× 4K60 | 6× 4K30 | 12× 1080p60 | 24× 1080p30\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza del Modulo\u003c\/td\u003e\n\u003ctd\u003e15W–60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch3\u003eScheda Carrier\u003c\/h3\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e1× M.2 Key M (4× PCIe Gen4); modulo SSD non incluso\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRete – Ethernet\u003c\/td\u003e\n\u003ctd\u003e1× RJ45, fino a 10GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRete – M.2 Key E\u003c\/td\u003e\n\u003ctd\u003e1× PCIe Gen4, USB 2.0, UART, I2S (modulo wireless incluso)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2× USB 3.2 Gen2 Tipo‑C; 2× USB 3.2 Gen2 Tipo‑A; 2× USB 3.2 Gen1 Tipo‑A; USB 2.0 Micro‑B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003eConnettore MIPI CSI‑2 a 16 vie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 1.4a (+MST)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVentola\u003c\/td\u003e\n\u003ctd\u003eIntestazione ventola a 4 pin× 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSlot PCIe\u003c\/td\u003e\n\u003ctd\u003eSlot PCIe a 16 vie che supporta 8× PCIe Gen4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRTC\u003c\/td\u003e\n\u003ctd\u003eConnettore di backup della batteria RTC a 2 pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003emicroSD\u003c\/td\u003e\n\u003ctd\u003eSchede UHS‑I fino alla modalità SDR104\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAltri I\/O\u003c\/td\u003e\n\u003ctd\u003eIntestazione a 40 pin (I2C, GPIO, SPI, CAN, I2S, UART, DMIC); intestazione di automazione a 12 pin; intestazione del pannello audio a 10 pin; intestazione JTAG a 10 pin; jack di alimentazione DC; pulsanti di alimentazione, forzare il ripristino e ripristino\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlimentazione in ingresso\u003c\/td\u003e\n\u003ctd\u003e12–36V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensioni\u003c\/td\u003e\n\u003ctd\u003e110mm × 110mm × 71.65mm (l'altezza include i piedi, la scheda di supporto, il modulo e la soluzione termica)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003ca href=\"https:\/\/rcdrone.top\/collections\/nvidia-jetson\" title=\"NVIDIA Jetson\"\u003eNVIDIA Jetson\u003c\/a\u003e AGX Orin Developer Kit ×1\u003c\/li\u003e\n\u003cli\u003eAdattatore di alimentazione AC Power Brick 90W ×1\u003c\/li\u003e\n\u003cli\u003eCavo USB‑C ×1\u003c\/li\u003e\n\u003cli\u003eCavo di alimentazione Tipo B (US, CA, JP) ×1\u003c\/li\u003e\n\u003cli\u003eCavo di alimentazione Tipo I (CN) ×1\u003c\/li\u003e\n\u003cli\u003eCavo di alimentazione Tipo B (TW) ×1\u003c\/li\u003e\n\u003cli\u003eEtichetta UPC ×1\u003c\/li\u003e\n\u003cli\u003eGuida rapida e di supporto ×1\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003ch3\u003eCampi di applicazione\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eAnalisi video AI\u003c\/li\u003e\n\u003cli\u003eVisione artificiale\u003c\/li\u003e\n\u003cli\u003eRobot mobile autonomo (AMR)\u003c\/li\u003e\n\u003cli\u003eAI generativa\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCapace di portare l'AI generativa al bordo\u003c\/h3\u003e\u003cp\u003eCostruisci agenti AI che elaborano video e immagini in tempo reale o archiviati utilizzando modelli Vision-Language (e.g., LLaVA) per riassumere, cercare ed estrarre informazioni tramite linguaggio naturale.\u003c\/p\u003e\u003ch3\u003eCostruisci analisi video AI multi-flusso\u003c\/h3\u003e\u003cp\u003eLe piattaforme Jetson Orin incorporano il Decodificatore Video Multi-Standard NVIDIA per accelerare la decodifica video su contenuti SD, HD e UltraHD (8K\/4K) per pipeline di analisi multi-flusso.\u003c\/p\u003e\u003cp\u003eRisorse per un rapido deployment sono disponibili tramite esempi della comunità per eseguire AI generativa (e.g., Ollama, Llama3) e visione artificiale (e.g., YOLOv8) con configurazione a comando singolo.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"543\" src=\"https:\/\/www.youtube.com\/embed\/AdpT0kwcPHo\" width=\"966\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eDocumenti\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/JetsonOrin\/Jetson_AGX_Orin_DevKit_Carrier_Board_Specification_SP-10900-001_v1.0.pdf\" target=\"_blank\"\u003eSpecifiche NVIDIA Jetson AGX Orin\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/JetsonOrin\/00_top_lvl_p3737_01142022.stp.zip\" target=\"_blank\"\u003eFile 3D NVIDIA Jetson AGX Orin\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8517180050\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eCINA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit, Unusual situation occurred in aisle 324 with shelf collapse and box blocking at 3.30 PM\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-INxaA.webp?v=1759847194\"\u003e\u003cp\u003eIl personale è preoccupato per un evento insolito nel corridoio 324 dove uno scaffale è crollato alle 15:30.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit, DeepStream detects cars in real-time on Jetson AGX Orin, displaying confidence scores, FPS, performance metrics, and system logs in the terminal.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-Ob29z.webp?v=1759847219\"\u003e\u003cp\u003eApplicazione DeepStream che rileva auto con punteggi di fiducia. Il terminale visualizza metriche di prestazione, FPS e registri di sistema. Kit di sviluppo Jetson AGX Orin che elabora il flusso video in tempo reale.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit with AI tools and applications.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-V8M3U.webp?v=1759847239\"\u003e\u003cp\u003eKit di sviluppo Jetson AGX Orin con strumenti e applicazioni AI.\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"Jetson AGX Orin Developer Kit, Documents detailing NVIDIA Jetson AGX Orin specification and ECCN\/HTS codes for international trade compliance.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Orin-Developer-Kit-fROPn.png?v=1759847258\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKCA.png\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47839159582944,"sku":"102110842","price":5399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/102110842.png?v=1759846557"},{"product_id":"raspberry-pi-compute-module-5-development-kit-us","title":"Kit di sviluppo Raspberry Pi Compute Module 5 (US) — CM5 Wireless 4GB\/32GB eMMC, scheda IO, case, dissipatore, USB-C 27W","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl Kit di Sviluppo Raspberry Pi Compute Module 5 (US) offre un ambiente ideale per il prototipaggio di soluzioni embedded. Il kit combina un Raspberry Pi Compute Module 5 Wireless, 4GB di RAM, 32GB eMMC (CM5104032) con la Raspberry Pi Compute Module 5 IO Board (fornita pre-installata all'interno della IO Case) e include tutti gli accessori essenziali per accelerare il design del prodotto.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eInclude Raspberry Pi Compute Module 5 Wireless (CM5104032) con 4GB di RAM e 32GB di eMMC\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi Compute Module 5 IO Board, pre-installato nella custodia IO dedicata\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi Cooler per la gestione termica\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi Antenna Kit per connettività wireless\u003c\/li\u003e\n\u003cli\u003eRaspberry Pi 27W USB-C PD Power Supply (US)\u003c\/li\u003e\n\u003cli\u003eDue cavi Raspberry Pi HDMI a HDMI\u003c\/li\u003e\n\u003cli\u003eUn cavo Raspberry Pi USB-A a USB-C\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1x Raspberry Pi Compute Module 5 Wireless, 4GB di RAM, 32GB di eMMC (CM5104032)\u003c\/li\u003e\n\u003cli\u003e1x Raspberry Pi Compute Module 5 IO Board (fornito pre-installato all'interno della custodia IO)\u003c\/li\u003e\n\u003cli\u003e1x Raspberry Pi IO Case per Raspberry Pi Compute Module 5\u003c\/li\u003e\n\u003cli\u003e1x Raspberry Pi Cooler per Raspberry Pi Compute Module 5\u003c\/li\u003e\n\u003cli\u003e1x Raspberry Pi Antenna Kit\u003c\/li\u003e\n\u003cli\u003e1x Raspberry Pi 27W USB-C PD Power Supply (US)\u003c\/li\u003e\u003cli\u003e2× Cavo HDMI a HDMI per Raspberry Pi\u003c\/li\u003e\n\u003cli\u003e1x Cavo USB-A a USB-C per Raspberry Pi\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003cp\u003eSi prega di fare riferimento ai singoli documenti di prodotto per specifiche dettagliate:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5-product-brief.pdf\" target=\"_blank\"\u003eRaspberry Pi Compute Module 5 Wireless, 4GB RAM, 32GB eMMC (CM5104032)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5io-product-brief.pdf\" target=\"_blank\"\u003eScheda IO per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/io-case-product-brief.pdf\" target=\"_blank\"\u003eCase IO per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cooler-product-brief.pdf\" target=\"_blank\"\u003eCooler per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/antenna-kit-product-brief.pdf\" target=\"_blank\"\u003eKit Antenna per Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/power-supply\/27w-usb-c-power-supply-product-brief.pdf\" target=\"_blank\"\u003eAlimentatore USB Type-C PD da 27W per Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDocumenti\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/news\/compute-module-5-on-sale-now\/\" target=\"_blank\"\u003eAnnuncio del Kit di Sviluppo per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/dev-kit-product-brief.pdf\" target=\"_blank\"\u003eDocumento informativo del Kit di Sviluppo per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/computers\/compute-module.html\" target=\"_blank\"\u003eDocumentazione del Raspberry Pi 5 Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8473309100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUPC\u003c\/td\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eREGNO UNITO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"Raspberry Pi Compute Module 5 Dev Kit, Raspberry Pi Compute Module 5 Wireless development kit with various accessories and documentation.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-Compute-Module-5-Dev-Kit-jzpa9.webp?v=1760276988\"\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47867817591008,"sku":"110061661","price":195.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1-110061661.jpg?v=1760275373"},{"product_id":"raspberry-pi-compute-module-5-development-kit-eu","title":"Kit di sviluppo Raspberry Pi Compute Module 5 (EU) – CM5 Wireless 4GB\/32GB, scheda IO, case, antenna, USB‑C PD 27W","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl Kit di Sviluppo Raspberry Pi Compute Module 5 (UE) offre un ambiente ideale per la prototipazione di soluzioni embedded. Questo kit completo include un Compute Module 5 Wireless (4GB RAM, 32GB eMMC, CM5104032) e la scheda IO del Compute Module 5, insieme a accessori essenziali per accelerare il design del prodotto. Questa versione UE viene fornita con l'alimentatore Raspberry Pi 27W USB‑C PD (UE).\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eInclude Raspberry Pi Compute Module 5 Wireless, 4GB RAM, 32GB eMMC (CM5104032)\u003c\/li\u003e\n\u003cli\u003eScheda IO del Compute Module 5 (fornita pre-installata all'interno della custodia IO)\u003c\/li\u003e\n\u003cli\u003eCustodia IO Raspberry Pi per CM5, dissipatore e kit antenna\u003c\/li\u003e\n\u003cli\u003eAlimentatore Raspberry Pi 27W USB‑C PD (EU)\u003c\/li\u003e\n\u003cli\u003eCavi HDMI a HDMI Raspberry Pi (2×) e cavo USB‑A a USB‑C (1×)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e1× Raspberry Pi Compute Module 5 Wireless, 4GB RAM, 32GB eMMC (CM5104032)\u003c\/li\u003e\n\u003cli\u003e1× Scheda IO Raspberry Pi Compute Module 5 (pre-installata all'interno della custodia IO)\u003c\/li\u003e\n\u003cli\u003e1× Custodia IO Raspberry Pi per Raspberry Pi Compute Module 5\u003c\/li\u003e\n\u003cli\u003e1× Dissipatore Raspberry Pi per Raspberry Pi Compute Module 5\u003c\/li\u003e\n\u003cli\u003e1× Kit antenna Raspberry Pi\u003c\/li\u003e\n\u003cli\u003e1× Alimentatore Raspberry Pi 27W USB‑C PD (EU)\u003c\/li\u003e\n\u003cli\u003e2× Cavo HDMI a HDMI Raspberry Pi\u003c\/li\u003e\n\u003cli\u003e1× Cavo USB‑A a USB‑C Raspberry Pi\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eModulo di Calcolo\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi Compute Module 5 Wireless (CM5104032)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e4GB RAM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria Integrata\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScheda IO\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi Compute Module 5 IO Board (pre‑installata nella custodia IO)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInvolucro\u003c\/td\u003e\n\u003ctd\u003eCustodia Raspberry Pi per Compute Module 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaffreddamento\u003c\/td\u003e\n\u003ctd\u003eRaspberry Pi Cooler per Compute Module 5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAntenna\u003c\/td\u003e\n\u003ctd\u003eKit Antenna Raspberry Pi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlimentatore\u003c\/td\u003e\n\u003ctd\u003eAlimentatore USB Type‑C PD da 27W Raspberry Pi (EU)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCavi Video\u003c\/td\u003e\n\u003ctd\u003e2× Cavo Raspberry Pi HDMI a HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCavo Dati\/Alimentazione\u003c\/td\u003e\n\u003ctd\u003e1× Cavo Raspberry Pi USB‑A a USB‑C\u003c\/td\u003e\n\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDocumenti\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/news\/compute-module-5-on-sale-now\/\" target=\"_blank\"\u003eAnnuncio del Kit di Sviluppo Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/dev-kit-product-brief.pdf\" target=\"_blank\"\u003eScheda Prodotto del Kit di Sviluppo Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/www.raspberrypi.com\/documentation\/computers\/compute-module.html\" target=\"_blank\"\u003eDocumentazione del Raspberry Pi 5 Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRiferimenti alle Specifiche\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5-product-brief.pdf\" target=\"_blank\"\u003eRaspberry Pi Compute Module 5 Wireless, 4GB RAM, 32GB eMMC (CM5104032)\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5io-product-brief.pdf\" target=\"_blank\"\u003eScheda IO Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/io-case-product-brief.pdf\" target=\"_blank\"\u003eCustodia IO Raspberry Pi per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cooler-product-brief.pdf\" target=\"_blank\"\u003eRaffreddatore Raspberry Pi per Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/antenna-kit-product-brief.pdf\" target=\"_blank\"\u003eKit Antenna Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/power-supply\/27w-usb-c-power-supply-product-brief.pdf\" target=\"_blank\"\u003eAlimentatore USB Type‑C PD da 27W Raspberry Pi\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471504090\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSHSCODE\u003c\/td\u003e\n\u003ctd\u003e8473309100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003ctd\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8471707000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCOO\u003c\/td\u003e\n\u003ctd\u003eREGNO UNITO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47869425975520,"sku":"110061662","price":175.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1_23.jpg?v=1760316037"},{"product_id":"d-robotics-rdk-s100-s100p-developer-kit","title":"Kit di sviluppo D-Robotics RDK S100\/S100P per robot incarnati, BPU 80\/128 TOPS, LPDDR5, M.2","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl kit di sviluppo D-Robotics RDK S100\/S100P è un kit di sviluppo robotico integrato per il calcolo e il controllo, progettato per robot intelligenti incarnati. Adotta un'architettura a doppio cervello ispirata all'uomo che combina una CPU ad alte prestazioni, un'Unità di Elaborazione Cerebrale (BPU) valutata a 80 TOPS \/ 128 TOPS (nuova architettura Nash) e un MCU in tempo reale per bilanciare la percezione\/decisione AI con il controllo del movimento a bassa latenza.\u003c\/p\u003e\u003cp\u003eIntegra tre unità principali: una CPU (6x Cortex-A78AE, 100K DMIPS), una BPU (Unità di Elaborazione Cerebrale) (nuova architettura Nash, 80 TOPS\/128 TOPS) e un MCU (4x Cortex-R52, 6K+ DMIPS). La CPU gestisce la pianificazione in tempo reale e i compiti a bassa latenza; la BPU è ottimizzata per CNN\/Transformer, supportando oltre 160 operatori ONNX per migliorare l'efficienza energetica dell'inferenza AI; l'MCU consente un controllo delle articolazioni ad alta frequenza di fotogrammi, formando un'architettura collaborativa \"cervello-cerebello\" che bilancia intelligenza e prestazioni in tempo reale.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eCollaborazione eterogenea a tre chip:\u003c\/strong\u003e CPU + BPU (Unità di Elaborazione Cerebrale) + MCU “super collaborazione eterogenea ad alta efficienza”.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCollaborazione di modelli grandi e piccoli:\u003c\/strong\u003e rilevamento visivo\/punto nuvola, grande modello linguistico, modello linguistico visivo, modello di controllo del movimento e flusso di lavoro percezione-decisione-controllo.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRisposta a ciclo chiuso a livello di millisecondo end-to-end:\u003c\/strong\u003e rilevamento semantico dei dati visivi (LLM\/VLM) e analisi dello stato tramite BPU + CPU; inferenza del modello di controllo del movimento tramite BPU; esecuzione a ciclo chiuso con alta frequenza di fotogrammi tramite MCU.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInterfacce liberamente espandibili:\u003c\/strong\u003e interfaccia classica a 40 pin, interfaccia di espansione della fotocamera, interfacce dual M.2 Key, connessione rapida Type-C e 64GB eMMC onboard.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eEcossistema open-source:\u003c\/strong\u003e oltre 200 algoritmi open-source e esempi di applicazione; supporta il pacchetto di funzionalità ROS2 accelerato dall'hardware; ufficialmente adattato ai modelli AI popolari. \u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupporto per espansione SSD M.2:\u003c\/strong\u003e 64GB eMMC onboard è fornito; l'SSD può essere installato tramite l'interfaccia M.2 onboard per implementazioni di maggiore capacità ( e.g. , modelli di linguaggio di grandi dimensioni \/ modelli multimodali).\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSerie\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eRDK S100 \/ RDK S100P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eARM Cortex-A78AE a 6 core (100K DMIPS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eBPU (Unità di Elaborazione Cerebrale)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eNuova architettura BPU Nash: 80 TOPS (S100) \/ 128 TOPS (S100P)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMCU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eARM Cortex-R52 a 4 core (6K+ DMIPS)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e12\/24GB LPDDR5, 96-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemoria interna\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4 porte USB 3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eEthernet Gigabit Doppio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEspansione\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia a 40 pin; doppio M.2 Interfacce di espansione chiave; supporta il debug JTAG, l'espansione della fotocamera e le interfacce MCU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eConfronto delle schede di sviluppo della serie RDK (come fornito)\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eArticolo\u003c\/th\u003e\n\u003cth\u003eRDK S100P\u003c\/th\u003e\n\u003cth\u003eRDK S100\u003c\/th\u003e\n\u003cth\u003eRDK X5\u003c\/th\u003e\n\u003cth\u003eRDK X3\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza di calcolo\u003c\/td\u003e\n\u003ctd\u003e128 TOPS\u003c\/td\u003e\n\u003ctd\u003e80 TOPS\u003c\/td\u003e\n\u003ctd\u003e10 TOPS\u003c\/td\u003e\n\u003ctd\u003e5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6x ARM Cortex-A78AE@2.0GHz\u003c\/td\u003e\n\u003ctd\u003e6x ARM Cortex-A78AE@1.5GHz\u003c\/td\u003e\n\u003ctd\u003e8x ARM Cortex-A55@1.5GHz\u003c\/td\u003e\n\u003ctd\u003e4x ARM Cortex-A55@1.5GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBPU\u003c\/td\u003e\n\u003ctd\u003e1x BPU Nash (Nash@128 TOPS)\u003c\/td\u003e\n\u003ctd\u003e1x BPU Nash (Nash@80 TOPS)\u003c\/td\u003e\n\u003ctd\u003e1x Bayes-e@10 TOPS\u003c\/td\u003e\n\u003ctd\u003e2x bernoulli2@5 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMCU\u003c\/td\u003e\n\u003ctd\u003e4x ARM Cortex-R52+ (1x DCLS, 1x Split-Lock)\u003c\/td\u003e\n\u003ctd\u003e4x ARM Cortex-R52+ (1x DCLS, 1x Split-Lock)\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\u003ctd\u003eARM Mali-G78AE@100GFLOPS\u003c\/td\u003e\n\u003ctd\u003eARM Mali-G78AE@100GFLOPS\u003c\/td\u003e\n\u003ctd\u003e32GFLOPS\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e24GB LPDDR5, 96-BIT\u003c\/td\u003e\n\u003ctd\u003e12GB LPDDR5, 96-BIT\u003c\/td\u003e\n\u003ctd\u003e4GB\/8GB opzionale\u003c\/td\u003e\n\u003ctd\u003e2GB\/4GB opzionale\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC, fornendo un M.2 Interfaccia del disco rigido NVMe Key M\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC, che fornisce un'interfaccia del disco rigido NVMe M.2 Key M\u003c\/td\u003e\n\u003ctd\u003eScheda TF esterna\u003c\/td\u003e\n\u003ctd\u003eScheda TF esterna\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia di interconnessione\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Type-A; 1x USB 2.0 Type-C; 1x interfaccia adattativa 1G; 1x GPIO a 40 pin; 1x espansione interfaccia MCU; 1x interfaccia di controllo automatico della scheda madre a 12 pin\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Type-A; 1x USB 2.0 Type-C; 1x interfaccia adattativa 1G; 1x GPIO a 40 pin; 1x espansione interfaccia MCU; 1x interfaccia di controllo automatico della scheda madre a 12 pin\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Type-A; 1x USB 2.0 Type-C; 1x GPIO a 40 pin\u003c\/td\u003e\n\u003ctd\u003e4x USB 3.0 Type-A; 1x USB 2.0 Tipo-C; 1x GPIO a 40 pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x HDMI Tipo-A, supporto massimo 2560x1440@60Hz\u003c\/td\u003e\n\u003ctd\u003e1x HDMI Tipo-A, supporto massimo 2560x1440@60Hz\u003c\/td\u003e\n\u003ctd\u003e1x HDMI supporto massimo 1080p60\u003c\/td\u003e\n\u003ctd\u003e1x HDMI supporto massimo 1080p60\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e1x interfaccia della scheda di espansione della fotocamera, fornisce 3x MIPI CSI-2 a 4 linee\u003c\/td\u003e\n\u003ctd\u003e1x interfaccia della scheda di espansione della fotocamera, fornisce 3x MIPI CSI-2 a 4 linee\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI a 4 linee\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI a 2 linee\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio\u003c\/td\u003e\n\u003ctd\u003e1x I2S\/PCM\u003c\/td\u003e\n\u003ctd\u003e1x I2S\/PCM\u003c\/td\u003e\n\u003ctd\u003e1x jack per cuffie da 3,5 mm, supporta uscita e ingresso\u003c\/td\u003e\n\u003ctd\u003e\/\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRete\u003c\/td\u003e\n\u003ctd\u003e2x RJ45, supporto Ethernet 1000M\u003c\/td\u003e\n\u003ctd\u003e2x RJ45, supporto Ethernet 1000M\u003c\/td\u003e\n\u003ctd\u003e1x RJ45 Ethernet Gigabit, supporto alimentazione PoE\u003c\/td\u003e\n\u003ctd\u003e1x RJ45 Ethernet Gigabit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eIl M.2 interfaccia Key E consente la connessione a Wi-Fi 6 e BT\u003c\/td\u003e\n\u003ctd\u003eL'interfaccia M.2 Key E consente la connessione a Wi-Fi 6 e BT\u003c\/td\u003e\n\u003ctd\u003e1x WiFi dual-band e Bluetooth 5.4\u003c\/td\u003e\n\u003ctd\u003e1x WiFi dual-band e Bluetooth 4.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAlimentazione\u003c\/td\u003e\n\u003ctd\u003eSupporta 12-20V DC, Max. 150W\u003c\/td\u003e\n\u003ctd\u003eSupporta 12-20V DC, Max. 150W\u003c\/td\u003e\n\u003ctd\u003e5V\/5A\u003c\/td\u003e\n\u003ctd\u003e5V\/3A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensione\u003c\/td\u003e\n\u003ctd\u003e120x121x51mm (incluso il case in acrilico)\u003c\/td\u003e\n\u003ctd\u003e85*85*20mm\u003c\/td\u003e\n\u003ctd\u003e85*56*20mm\u003c\/td\u003e\n\u003ctd\u003e85*56*20mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eNote sulla fotocamera \/ modulo (come fornito)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eFotocamera USB HD:\u003c\/strong\u003e nessun driver richiesto; risoluzione 2MP; 120FPS alta frequenza di fotogrammi; destinata allo sviluppo di applicazioni visive ad alte prestazioni sulla piattaforma RDK S100\/S100P.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFotocamera MIPI HD:\u003c\/strong\u003e utilizza la soluzione Sony IMX219; campo visivo di 77°.Non può essere utilizzato da solo e deve essere abbinato alla scheda di espansione della fotocamera RDK S100\/S100P.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eFotocamera stereo di profondità RDK GS130W:\u003c\/strong\u003e interfaccia MIPI; due sensori global shutter SC132GS; supporta l'esposizione sincrona binoculare e il triggering esterno. Non può essere utilizzato in modo indipendente e richiede la scheda di espansione della fotocamera RDK S100\/S100P.\u003c\/li\u003e\n \u003cli\u003e\n\u003cstrong\u003eModulo vocale AI Large Model (accessorio opzionale mostrato):\u003c\/strong\u003e integra un microfono e un altoparlante a cavità; supporta la cattura vocale a lungo raggio, la cancellazione dell'eco e la riduzione del rumore ambientale.\u003c\/li\u003e\n \u003c\/ul\u003e\u003ch2\u003eGuide \u0026amp; Risorse\u003c\/h2\u003e\u003cp\u003e \u003cstrong\u003eLink alla guida:\u003c\/strong\u003e\u003ca href=\"https:\/\/www.yahboom.net\/study\/RDK_S100\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/www.yahboom.net\/study\/RDK_S100\u003c\/a\u003e\u003c\/p\u003e\u003cp\u003eI materiali forniti includono (esempi mostrati): impostazioni di base, TogetherROS.Bot applicazioni visive, tutorial avanzato YOLO26, materiali di sviluppo avanzato OpenClaw e un corso base ROS2 (mostrato anche con sottotitoli in inglese).I materiali sono mostrati come continuamente aggiornati (notati come aggiornati a marzo 2026) e includono un'immagine di sistema gratuita per l'ambiente di sviluppo YOLO26.\u003c\/p\u003e\u003cp\u003e Per indicazioni sulla selezione dei prodotti o supporto post-vendita, contattare \u003ca href=\"https:\/\/rcdrone.top\/\" rel=\"noopener noreferrer\" target=\"_blank\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e o inviare un'email a \u003ca href=\"mailto:support@rcdrone.top\"\u003esupport@rcdrone.top \u003c\/a\u003e. \u003c\/p\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/hZfEfOfZ5QA\" title=\"RDK S100 S100P Developer Board Kit with 12G\/24GB RAM(80TOPS\/128TOPS) for embodied intelligent robots\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2 id=\"details\"\u003eDettagli\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer kit for embodied robots with 80\/128 TOPS BPU and dual-brain architecture\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS.jpg?v=1782295224\"\u003e\u003cp\u003eRDK S100\/S100P porta la collaborazione tra CPU + BPU + MCU in tempo reale alla percezione, pianificazione e controllo dei robot incarnati.\u003c\/p\u003e\n\u003cimg alt=\"OpenClaw tutorials and system images for RDK S100\/S100P, including online and offline AI large model courses\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_ef2be493-92d7-49ce-8d0b-7de9323c4636.jpg?v=1782295232\"\u003e\u003cp\u003eInizia più velocemente con tutorial di distribuzione curati, immagini di sistema pronte all'uso e materiali di apprendimento continuamente aggiornati.\u003c\/p\u003e\n\u003cimg alt=\"Certificate of authorization, product introduction, and RDK series development board comparison table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_4e5f3d8b-14d4-4d30-ae6f-feced9c3f7ce.jpg?v=1782295239\"\u003e\u003cp\u003eL'autorizzazione ufficiale e un grafico di confronto rapido ti aiutano a scegliere la scheda della serie RDK giusta per il tuo progetto.\u003c\/p\u003e\n\u003cimg alt=\"RDK S100\/S100P board underside highlighting onboard M.2 slot for SSD expansion beyond 64GB eMMC\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_02af0a05-dcd0-43b9-bf87-5f554de05853.jpg?v=1782295246\"\u003e\u003cp\u003eEspandi lo storage per modelli di linguaggio o multimodali di grandi dimensioni aggiungendo un SSD tramite l'interfaccia M.2 integrata.\u003c\/p\u003e\u003cimg alt=\"RDK S100\/S100P connected to USB camera and MIPI HD camera module for vision development\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_d08f5797-fb32-4a69-a634-3a95e0ffc9cf.jpg?v=1782295252\"\u003e\u003cp\u003eLe opzioni di fotocamera flessibili supportano flussi di lavoro di visione ad alta frequenza di fotogrammi per la percezione e il tracciamento della robotica.\u003c\/p\u003e\n\u003cimg alt=\"Call-to-action banner linking to USB camera purchase option for the RDK S100\/S100P platform\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS.avif?v=1782295258\"\u003e\u003cimg alt=\"MIPI HD camera kit using Sony IMX219 with 77° field of view, for use with RDK S100\/S100P expansion board\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_86e1625a-45b5-4177-ba29-1f4bd2bf7abc.jpg?v=1782295264\"\u003e\u003cimg alt=\"RDK GS130W binocular stereo depth camera with dual SC132GS global shutter sensors for synchronized capture\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_9923601c-d19a-484e-8cf6-101097ff7df6.jpg?v=1782295276\"\u003e\u003cp\u003eAggiungi percezione della profondità con una fotocamera stereo binoculare progettata per esposizione sincronizzata e attivazione esterna.\u003c\/p\u003e\n\u003cimg alt=\"Matte gray aluminum alloy enclosure for RDK S100\/S100P with camera mount, antenna hole, and ventilation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_42a962af-2d49-480b-8814-4c71e826f2b9.jpg?v=1782295291\"\u003e\u003cp\u003eUn case in lega di alluminio durevole migliora la protezione e la dissipazione del calore mantenendo i porti accessibili.\u003c\/p\u003e\n\u003cimg alt=\"AI large model voice module with microphone board and speaker connected to the RDK S100\/S100P developer kit\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_f83b947d-7868-42a3-99bd-1728e5d5e692.jpg?v=1782295297\"\u003e\u003cp\u003eCostruisci interazioni abilitate dalla voce con un modulo microfono e altoparlante progettato per la cattura a lungo raggio e la riduzione del rumore.\u003c\/p\u003e\n\u003cimg alt=\"RDK S100 tutorial link and long feature checklist for hardware, interfaces, and software capabilities\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_14ce29f8-a549-4e7f-b94a-7aaf792346eb.jpg?v=1782295305\"\u003e\u003cimg alt=\"Open-source code and tutorial folders for RDK S100, including basic setup, TogetherROS, and YOLOv2\/YOLOv5 content\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_53cfcddb-bb94-4c3a-9743-9cf7d1b1cd60.jpg?v=1782295312\"\u003e\u003cimg alt=\"ROS2 basic course folder set and English-subtitled video tutorial lineup for RDK S100\/S100P development\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_2991b94e-8087-4f35-9cc9-029b80dbc10e.jpg?v=1782295320\"\u003e\u003cp\u003eI fondamenti di ROS2 sono organizzati in lezioni passo-passo con guida video per accelerare l'integrazione.\u003c\/p\u003e\n\u003cimg alt=\"Offline and online AI large model development materials covering visual positioning, understanding, and text\/voice interaction\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_5df09e14-cd6b-4200-bcfc-f7d020118232.jpg?v=1782295326\"\u003e\u003cimg alt=\"OpenClaw advanced development materials for camera control, browser automation, file management, and AI programming\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_d6b4584a-d7ca-49a9-8d7b-710acc3e3050.jpg?v=1782295333\"\u003e\u003cimg alt=\"Links to official RDK documentation, robot developer community forum, and NodeHub open-source application center\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_3034d138-385b-43ee-9566-4d48a36aaac3.jpg?v=1782295342\"\u003e\u003cp\u003eAccedi a documenti ufficiali, supporto della comunità e applicazioni open-source per una prototipazione e distribuzione più rapide.\u003c\/p\u003e\n\u003cimg alt=\"Human-inspired dual-brain architecture graphic for RDK S100\/S100P highlighting CPU, 80\/128 TOPS BPU, and MCU roles\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_a194bbb8-5ba7-4f80-9011-2e6f19348d79.jpg?v=1782295349\"\u003e\u003cp\u003eUn design a doppio cervello separa l'inferenza AI dal controllo del movimento in tempo reale per una risposta a ciclo chiuso a livello di millisecondo.\u003c\/p\u003e\u003cimg alt=\"Mainstream development board comparison plus RDK S100\/S100P interface overview with 40-pin header, M.2, USB, and Ethernet\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_55e3f31d-3769-4093-91de-9461fca137ac.jpg?v=1782295355\"\u003e\u003cp\u003eEspandi rapidamente con GPIO a 40 pin, interfacce duali M.2 Key, espansione della fotocamera, USB 3.0 e doppio Ethernet Gigabit.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer kit promo graphic with all-in-one development and application deployment features\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_c47bbd2b-0ed9-40ef-8597-193b22e9e351.jpg?v=1782295362\"\u003e\u003cp\u003eIl kit di sviluppo RDK S100\/S100P è progettato per uno sviluppo tutto-in-uno con supporto ufficiale, accelerazione hardware e risorse per il rapido deployment delle applicazioni.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer kit board layout with labeled interfaces, dimensions, and spec table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_298ee8c4-18d1-45ae-81af-ec2d8992bd91.jpg?v=1782295369\"\u003e\u003cp\u003eIl kit di sviluppo D-Robotics RDK S100\/S100P include un layout dell'interfaccia etichettato e parametri di dimensione per aiutare a pianificare il cablaggio e l'adattamento dell'involucro.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P expansion boards with labeled ports, including camera connectors and MCU I\/O terminals.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_3474557e-89f7-4b31-87da-eaa2c5e30a48.jpg?v=1782295377\"\u003e\u003cp\u003eLe schede di espansione per fotocamera e porta MCU RDK S100\/S100P forniscono connettori per fotocamera dedicati più accesso ai terminali CAN e I\/O per il prototipazione.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer kit board with cooling fan, multiple I\/O ports, and related accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_575513ac-bd3f-4304-8f21-9f0c80337c1b.jpg?v=1782295385\"\u003e\u003cp\u003eIl kit di sviluppo RDK S100\/S100P fornisce una scheda principale compatta con una ventola di raffreddamento, diversi connettori periferici e moduli accessori opzionali per l'espansione.\u003c\/p\u003e\n\u003cimg alt=\"RDK S100\/S100P robot accessories set with interface boards, sensor modules, and compact peripheral devices\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_337b5920-34fa-44f2-9e0e-0a5661bfbae6.jpg?v=1782295392\"\u003e\u003cp\u003eGli accessori compatibili con RDK S100\/S100P includono schede di interfaccia e moduli aggiuntivi per aiutare ad espandere e personalizzare una costruzione robotica.\u003c\/p\u003e\u003cimg alt=\"Orange banner button reading “More robot accessories for RDK S100\/S100 P, View More”\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS.webp?v=1782295398\"\u003e\u003cp\u003eUlteriori accessori per robot sono disponibili per il kit di sviluppo RDK S100\/S100P per aiutare ad espandere la tua configurazione.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer board with heatsink fan, USB ports, HDMI, and Ethernet connectors\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_2dc63c72-7775-4998-a3eb-acd9e862bbad.jpg?v=1782295405\"\u003e\u003cp\u003eIl kit di sviluppo RDK S100\/S100P utilizza un grande dissipatore di calore attivo e un layout di porte accessibile per un rapido avvio e cablaggio in laboratorio.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for D-Robotics RDK S100\/S100P developer kit with cover, power adapter, USB-C cable, HDMI, Wi‑Fi card and camera options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_7c249814-bff3-48c1-b38d-cbe259397645.jpg?v=1782295412\"\u003e\u003cp\u003eLe opzioni del kit RDK S100\/S100P includono la scheda principale più una copertura protettiva o una scatola in lega di alluminio, alimentatore, cavo USB‑C e accessori come HDMI, scheda\/antenna Wi‑Fi e telecamere USB o MIPI.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer kit bundles with case, 220V adapter, USB-C\/HDMI cables, and expansion options\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_13164de1-f0c5-4c4e-80c1-8ecb5420e8f1.jpg?v=1782295419\"\u003e\u003cp\u003eLe opzioni del kit D-Robotics RDK S100\/S100P includono un case, alimentatore 220V, cavi USB‑C e HDMI, una scheda di rete wireless, oltre a accessori come una telecamera stereo, scheda interfaccia MCU o SSD da 256GB.\u003c\/p\u003e\n\u003cimg alt=\"D-Robotics RDK S100\/S100P developer kit contents list with board, case, power adapter, SSD, camera and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/D-Robotics-RDK-S100-S100P-Developer-Kit-80TOPS128TOPS_64a6c19e-7b34-421c-8a33-5ab6d57a3131.jpg?v=1782295426\"\u003e\u003cp\u003eIl kit RDK S100\/S100P combina la scheda principale con un case in alluminio, alimentatore 220V, cavi Type‑C e HDMI, un SSD da 256GB, una scheda Wi‑Fi con antenna e una telecamera USB.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"S100 \/ Kit di Sviluppo","offer_id":53135670444256,"sku":"3000101296-1","price":963.8,"currency_code":"USD","in_stock":true},{"title":"S100 \/ Kit di base","offer_id":53135670477024,"sku":"3000101296-2","price":993.8,"currency_code":"USD","in_stock":true},{"title":"S100 \/ Kit di Espansione della Memoria","offer_id":53135670509792,"sku":"3000101296-3","price":1083.8,"currency_code":"USD","in_stock":true},{"title":"S100 \/ Kit di fotocamera USB","offer_id":53135670542560,"sku":"3000101296-4","price":1059.8,"currency_code":"USD","in_stock":true},{"title":"S100 \/ Kit di Espansione MCU","offer_id":53135670575328,"sku":"3000101296-5","price":1065.8,"currency_code":"USD","in_stock":true},{"title":"S100 \/ Kit di Modello AI Grande","offer_id":53135670608096,"sku":"3000101296-6","price":1185.8,"currency_code":"USD","in_stock":true},{"title":"S100 \/ Kit della fotocamera 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Fornisce fino a \u003cstrong\u003e2070 FP4 TFLOPS\u003c\/strong\u003e di calcolo AI ed è specificato come \u003cstrong\u003e7.5x\u003c\/strong\u003e prestazioni superiori rispetto alla generazione precedente Jetson AGX Orin, con \u003cstrong\u003e3.5x\u003c\/strong\u003e maggiore efficienza energetica. Il kit è dotato di \u003cstrong\u003e128GB LPDDR5x\u003c\/strong\u003e di memoria (256-bit) con \u003cstrong\u003e273GB\/s\u003c\/strong\u003e di larghezza di banda per supportare grandi inferenze Transformer, codifica\/decodifica video ad alta concorrenza e fusione di dati multi-sensore.\u003c\/p\u003e\u003cp\u003eIl \u003cstrong\u003eGPU multi-instance Blackwell (MIG)\u003c\/strong\u003e è supportato, consentendo a una singola GPU di essere suddivisa in più istanze isolate per carichi di lavoro concorrenti come consapevolezza ambientale, interazione linguistica e pianificazione delle azioni.La piattaforma si integra con l'ecosistema CUDA e supporta gli stack software NVIDIA inclusi \u003cstrong\u003eIsaac\u003c\/strong\u003e, \u003cstrong\u003eIsaac GR00T\u003c\/strong\u003e, \u003cstrong\u003eMetropolis\u003c\/strong\u003e, e \u003cstrong\u003eHoloscan\u003c\/strong\u003e. \u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePrestazioni AI:\u003c\/strong\u003e fino a 2070 FP4 TFLOPS\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eArchitettura GPU:\u003c\/strong\u003e NVIDIA Blackwell\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e Arm Neoverse V3AE a 14 core\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMemoria:\u003c\/strong\u003e 128GB LPDDR5x, 256-bit; larghezza di banda della memoria 273GB\/s\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConsumo energetico:\u003c\/strong\u003e 40–130W (130W indicato anche per l'operazione a 2070 FP4 TFLOPS)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eStorage (notato):\u003c\/strong\u003e 1TB NVMe SSD; è fornito un alloggiamento SSD per scrivere un'immagine di sistema\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWireless (integrato):\u003c\/strong\u003e Wi‑Fi (2.4GHz\/5GHz\/6GHz) fino a 2402Mbps; Bluetooth 5.3; installato all'interno del dispositivo prima della spedizione\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmagine di sistema (annotata):\u003c\/strong\u003e SSD fornito con un'immagine di sistema pre-installata; l'immagine di sistema menziona funzioni visive AI, casi ROS, casi di modelli di grandi dimensioni offline e contenuti del corso OpenClaw\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProdotto\u003c\/td\u003e\n\u003ctd\u003eJetson AGX Thor Developer Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson T5000 con GPU Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCalcolo AI\u003c\/td\u003e\n\u003ctd\u003eFino a 2070 FP4 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e14 core (Arm Neoverse V3AE)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x, 256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLarghezza di banda della memoria\u003c\/td\u003e\n\u003ctd\u003e273GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConsumo energetico\u003c\/td\u003e\n\u003ctd\u003e40–130W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRaffreddamento\u003c\/td\u003e\n\u003ctd\u003eDis dissipatore e ventola (ventola e radiatore)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchiviazione (annotata)\u003c\/td\u003e\u003ctd\u003e1TB NVMe SSD\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi‑Fi 2.4GHz\/5GHz\/6GHz fino a 2402Mbps; BT 5.3; modulo Wi‑Fi 6E notato\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIngressi\/uscite esterni (notato)\u003c\/td\u003e\n\u003ctd\u003e2x USB‑A; 2x USB‑C; connettore RJ45 (5GbE); connettore DP; connettore HDMI 2.1; connettore QSFP28\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePulsanti\/indicatori\u003c\/td\u003e\n\u003ctd\u003ePulsante di accensione; pulsante lampeggiante; pulsante di reset; luce indicatore di alimentazione\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntestazioni\/interfacce interne (notato)\u003c\/td\u003e\n\u003ctd\u003eAudio (10Pin); Interfaccia di automazione (12Pin); Bus CAN (2x13Pin); Interfaccia di debug USB Type‑C; JTAG (10Pin); RTC (2Pin)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensioni del chassis\u003c\/td\u003e\n\u003ctd\u003e243 x 112.40 x 56.88 mm (unità: mm); lunghezza notata 240.86 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003emodello 3D\u003c\/td\u003e\n\u003ctd\u003eil file del modello 3D sarà fornito\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDati sulle prestazioni (come indicato)\u003c\/h2\u003e\u003ch3\u003enote di confronto sul ragionamento generativo\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eRispetto a Jetson AGX Orin, Jetson AGX Thor offre fino a \u003cstrong\u003e5x\u003c\/strong\u003e più veloce per il ragionamento generativo. \u003c\/li\u003e\n\u003cli\u003eCon \u003cstrong\u003eFP4\u003c\/strong\u003e e  \u003cstrong\u003edecodifica speculativa\u003c\/strong\u003e, si afferma che gli sviluppatori possono ottenere un ulteriore \u003cstrong\u003e2x\u003c\/strong\u003e accelerazione delle prestazioni su Jetson AGX Thor. \u003c\/li\u003e\n\u003cli\u003eEsempi di AI multimodale in tempo reale: utilizzando Qwen2.5‑VL‑3B VLM e Llama3.2 3B LLM, si afferma che le risposte iniziali del Token (TTFT) siano inferiori a \u003cstrong\u003e200 ms\u003c\/strong\u003e, e che il tempo di output di ciascun Token (TPOT) sia ben al di sotto di \u003cstrong\u003e50 ms\u003c\/strong\u003e. \u003c\/li\u003e\u003c\/ul\u003e\u003ch3\u003eTabella Tokens\/s (Jetson AGX Orin vs Jetson AGX Thor)\u003c\/h3\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eFamiglia\u003c\/th\u003e\n\u003cth\u003eModello\u003c\/th\u003e\n\u003cth\u003eJetson AGX Orin (Tokens\/s)\u003c\/th\u003e\n\u003cth\u003eJetson AGX Thor (Tokens\/s)\u003c\/th\u003e\n\u003cth\u003eMoltiplicatore di Accelerazione\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eLlama\u003c\/td\u003e\n\u003ctd\u003eLlama 3.1 8B\u003c\/td\u003e\n\u003ctd\u003e112.33\u003c\/td\u003e\n\u003ctd\u003e150.8\u003c\/td\u003e\n\u003ctd\u003e1.34\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLlama\u003c\/td\u003e\n\u003ctd\u003eLlama 3.3 70B\u003c\/td\u003e\n\u003ctd\u003e7.38\u003c\/td\u003e\n\u003ctd\u003e12.64\u003c\/td\u003e\n\u003ctd\u003e1.71\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen\u003c\/td\u003e\n\u003ctd\u003eQwen3-30B-A3B\u003c\/td\u003e\n\u003ctd\u003e76.69\u003c\/td\u003e\n\u003ctd\u003e226.42\u003c\/td\u003e\n\u003ctd\u003e2.95\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen\u003c\/td\u003e\n\u003ctd\u003eQwen3-32B\u003c\/td\u003e\n\u003ctd\u003e16.84\u003c\/td\u003e\n\u003ctd\u003e79.1\u003c\/td\u003e\n\u003ctd\u003e4.7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeepSeek\u003c\/td\u003e\n\u003ctd\u003eDeepSeek-R1-Distill-Qwen-7B\u003c\/td\u003e\n\u003ctd\u003e180.41\u003c\/td\u003e\n\u003ctd\u003e304.76\u003c\/td\u003e\n\u003ctd\u003e1.69\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDeepSeek\u003c\/td\u003e\n\u003ctd\u003eDeepSeek-R1-Distill-Qwen-32B\u003c\/td\u003e\n\u003ctd\u003e16.96\u003c\/td\u003e\n\u003ctd\u003e82.63\u003c\/td\u003e\n\u003ctd\u003e4.87\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen (VLM)\u003c\/td\u003e\n\u003ctd\u003eQwen2.5-VL-3B\u003c\/td\u003e\n\u003ctd\u003e216\u003c\/td\u003e\n\u003ctd\u003e356.86\u003c\/td\u003e\n\u003ctd\u003e1.65\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eQwen (VLM)\u003c\/td\u003e\n\u003ctd\u003eQwen2.5-VL-7B\u003c\/td\u003e\n\u003ctd\u003e154.02\u003c\/td\u003e\n\u003ctd\u003e252\u003c\/td\u003e\n\u003ctd\u003e1.64\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eLlama (VLM)\u003c\/td\u003e\n\u003ctd\u003eLlama 3.2 11B Vision\u003c\/td\u003e\n\u003ctd\u003e44.22\u003c\/td\u003e\n\u003ctd\u003e69.63\u003c\/td\u003e\n\u003ctd\u003e1.57\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGR00T (VLA)\u003c\/td\u003e\n\u003ctd\u003eGR00T N1\u003c\/td\u003e\n\u003ctd\u003e18.5\u003c\/td\u003e\n\u003ctd\u003e46.7\u003c\/td\u003e\n\u003ctd\u003e2.52\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGR00T (VLA)\u003c\/td\u003e\n\u003ctd\u003eGR00T N1.5\u003c\/td\u003e\n\u003ctd\u003e15.2\u003c\/td\u003e\n\u003ctd\u003e41.5\u003c\/td\u003e\n\u003ctd\u003e2.74\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003ePorti \u0026amp; Distribuzione Funzionale (come etichettato)\u003c\/h2\u003e \u003cul\u003e\n\u003cli\u003eAlimentazione DC\u003c\/li\u003e\n\u003cli\u003eInterfaccia USB Type‑C (può essere utilizzata come interfaccia di ingresso per l'alimentazione)\u003c\/li\u003e\n\u003cli\u003eHDMI\u003c\/li\u003e\n\u003cli\u003eInterfaccia USB Type‑A\u003c\/li\u003e\n\u003cli\u003eInterfaccia DP\u003c\/li\u003e\n\u003cli\u003ePorta Ethernet\u003c\/li\u003e\n\u003cli\u003eConnettore QSFP28\u003c\/li\u003e\n\u003cli\u003eVentola e radiatore\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eImmagine di Sistema \u0026amp; Ambiente Software (come dichiarato)\u003c\/h2\u003e \u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eSSD ha un'immagine di sistema pre-installata.\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003eJetson AGX Thor viene fornito con un \u003cstrong\u003eSSD vuoto da 1TB prima della spedizione\u003c\/strong\u003e e un \u003cstrong\u003e involucro SSD\u003c\/strong\u003e è fornito per scrivere il file dell'immagine di sistema.\u003c\/li\u003e \n\u003cli\u003eUn \u003cstrong\u003eSSD da 2TB\u003c\/strong\u003e con un file di immagine di sistema è anche menzionato.Se si sceglie il kit con SSD da 2TB, si afferma che l'SSD originale da 1TB fornito con il kit ufficiale sarà mantenuto; l'SSD da 2TB nel pacchetto deve essere sostituito dall'utente e l'imballaggio originale non verrà rimosso per impostazione predefinita.\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eImmagine di sistema Jetson basata su Ubuntu 24.04\u003c\/strong\u003e con supporto per \u003cstrong\u003e NVIDIA CUDA 13.0\u003c\/strong\u003e, \u003cstrong\u003eTensorRT 10.13\u003c\/strong\u003e, \u003cstrong\u003ecuDNN 9.12\u003c\/strong\u003e, e \u003cstrong\u003eOpenCV 4.13\u003c\/strong\u003e. \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eModuli opzionali \/ supportati (come descritto)\u003c\/h2\u003e\u003ch3\u003eModulo vocale per modelli AI di grandi dimensioni (supporto dichiarato)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eMicrofono ad alte prestazioni e altoparlante a cavità\u003c\/li\u003e\n\u003cli\u003eRaccolta a lungo raggio, cancellazione dell'eco e riduzione del rumore ambientale\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eCamera industriale USB (supporto dichiarato)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e5MP\u003c\/li\u003e\n\u003cli\u003eSupporta un'uscita stabile di 30fps a 2592 x 1944\u003c\/li\u003e\n\u003cli\u003eCampo visivo diagonale di 105° (orizzontale 81.8°, verticale 66°C come indicato)\u003c\/li\u003e\n\u003cli\u003eImmagini senza distorsioni; guscio a prova di polvere (come indicato)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVideo tutorial\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/-20a1fotbZA\" title=\"Jetson AGX Thor: 2070 TFLOPS of Edge AI Power (Full Demo)\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eSupporto\u003c\/h2\u003e\u003cp\u003ePer domande tecniche o aiuto nella scelta della configurazione giusta per il kit di sviluppo Jetson AGX Thor, contattare il supporto a \u003ca href=\"https:\/\/rcdrone.top\/\"\u003ehttps:\/\/rcdrone.top\/\u003c\/a\u003e o \u003ca href=\"mailto:support@rcdrone.top\"\u003e support@rcdrone.top\u003c\/a\u003e. \u003c\/p\u003e\u003ch2 id=\"details\"\u003eDettagli\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"NVIDIA Jetson AGX Thor developer kit with 1TB NVMe system image note and onboard Wi‑Fi 6E card detail\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4.jpg?v=1782281427\"\u003e\u003cp\u003eIl SSD NVMe da 1TB incluso viene fornito con un'immagine di sistema preinstallata e la scheda wireless integrata supporta Wi‑Fi 6E e Bluetooth 5.3.\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor course and tutorial portal screen, listing developer kit learning categories and resources\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_cf2878a0-9f1b-4390-98f4-5b4c97cba6c9.jpg?v=1782281433\"\u003e\u003cimg alt=\"Jetson AGX Thor training outline with ROS, vision, LLM, and OpenClaw course modules listed in a long table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_827b4494-4e1a-476c-8b46-ff97c7257ae5.jpg?v=1782281439\"\u003e\u003cimg alt=\"Folders for detailed tutorials and open-source code, plus basic setup, vision, and ROS advanced tutorial lists\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_23740e96-5bcb-49cd-b6d8-1e44ed4eb5a0.jpg?v=1782281446\"\u003e\u003cimg alt=\"Offline and online AI large model development materials with demos for text-to-picture, vision, and localization tasks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_1bf3064d-c203-4573-99b9-5080d7c42d61.jpg?v=1782281452\"\u003e\u003cimg alt=\"Offline generative AI application materials with example projects like storytelling, cooking assistant, homework, and animation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_79e3a071-2214-4073-b2d6-e45d706a3fc0.jpg?v=1782281458\"\u003e\u003cimg alt=\"OpenClaw advanced AI development materials with examples for file management, camera control, browser control, and coding\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_8cc625d4-7292-446e-a945-86275f35f03f.jpg?v=1782281465\"\u003e\u003cimg alt=\"Jetson AGX Thor kit connected to AI voice module and USB industrial camera, highlighting supported accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_ee3e36a0-fc30-467e-9211-039c8c78a480.jpg?v=1782281471\"\u003e\u003cp\u003eCrea assistenti vocali o pipeline visive utilizzando periferiche supportate come un modulo vocale AI e telecamere industriali USB.\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor developer kit angled view with rear I\/O ports visible and AI model ecosystem logos above\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_ff8c71db-a82a-42cd-867c-d8db436f32cd.jpg?v=1782281476\"\u003e\u003cimg alt=\"Performance charts comparing Jetson AGX Thor vs Orin for generative reasoning and real-time multimodal token response\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_8367d40c-19ef-4fb0-90fa-1a3cd1800c15.jpg?v=1782281483\"\u003e\u003cp\u003eI grafici delle prestazioni riassumono i guadagni di ragionamento generativo e gli obiettivi di throughput multimodale per i carichi di lavoro di inferenza edge.\u003c\/p\u003e\u003cimg alt=\"Jetson AGX Thor benchmark table and key specs callout: up to 2070 FP4 TFLOPS, 128GB LPDDR5x, 14-core CPU\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_e9874dc8-80b9-4291-b15c-6b084274332f.jpg?v=1782281489\"\u003e\u003cp\u003eI punti salienti della piattaforma principale includono fino a 2070 FP4 TFLOPS di calcolo AI, 128GB di memoria LPDDR5x e una CPU Arm a 14 core.\u003c\/p\u003e\n\u003cimg alt=\"Robotics and edge AI stack overview for Jetson AGX Thor, with sensor processing, low-latency pipeline, and software icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_cf37e8be-768c-4f5f-9aea-8760a6d88b4c.jpg?v=1782281495\"\u003e\u003cimg alt=\"Jetson AGX Thor functional distribution diagram labeling ports, buttons, cooling, and internal headers like CAN and JTAG\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_e41af2f0-4be5-494a-b1ba-7178e1dcef64.jpg?v=1782281501\"\u003e\u003cp\u003eUna chiara mappa di porte e intestazioni aiuta a pianificare l'integrazione, dalle uscite USB e display al bus CAN, debug e altre interfacce interne.\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor dimensions drawing in millimeters with 3D model availability note beneath the chassis rendering\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_0e9d0655-207f-4002-9208-904f5d3cfc0a.jpg?v=1782281507\"\u003e\u003cp\u003eLe disegni meccanici elencano le dimensioni del telaio in millimetri, e un file modello 3D è disponibile per la progettazione dell'involucro.\u003c\/p\u003e\n\u003cimg alt=\"System image screen noting Ubuntu 24.04-based Jetson system with CUDA, TensorRT, cuDNN, and OpenCV versions listed\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_3d0c8588-4b33-4531-8b9e-1d3e91a1368f.jpg?v=1782281514\"\u003e\u003cp\u003eL'immagine di sistema aggiornata è basata su Ubuntu 24.04 e fa riferimento a librerie accelerate comuni nel stack software CUDA.\u003c\/p\u003e\n\u003cimg alt=\"Jetson full range comparison table highlighting Jetson AGX Thor column against Orin Nano, Orin NX, AGX Orin, and Xavier\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_109eba99-f3aa-4ced-ac4c-562999f256ff.jpg?v=1782281520\"\u003e\u003cimg alt=\"Continuation of Jetson comparison table with I\/O, networking, display, power, and dimensions across multiple Jetson models\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_2b32d987-a2f7-4961-8eee-93bb92945f25.jpg?v=1782281526\"\u003e\u003cimg alt=\"Jetson AGX Thor developer kit product photos with included power adapter and cables, plus retail box packaging\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_6521bc86-a135-4fba-bc9e-9930ab09f048.jpg?v=1782281531\"\u003e\u003cp\u003eAll'interno della confezione: il kit di sviluppo Jetson AGX Thor, alimentatore e cavi necessari per l'avvio iniziale.\u003c\/p\u003e\u003cimg alt=\"Shipping list graphic for NVIDIA Jetson AGX Thor 128GB developer kit with power adapter, USB-C cable, optional SSD and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_1469dd01-c4e7-4e5e-bb60-8fd9e514ad56.jpg?v=1782281538\"\u003e\u003cp\u003eIl kit di sviluppo Jetson AGX Thor 128GB viene fornito con un adattatore di alimentazione e un cavo dati USB‑C, con un SSD da 1TB\/2TB e un involucro per SSD opzionali, mentre il Kit Vision Advanced aggiunge articoli come un cavo DP‑to‑HDMI, una c​\u003c\/p\u003e\n\u003cimg alt=\"Jetson AGX Thor 128GB developer kit bundle contents with power adapter, USB-C cable, camera, hub, and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-AGX-Thor-Developer-Kit-with-128GB-RAM2070-FP4_da022928-5444-4766-a00b-a247ab31517e.jpg?v=1782281544\"\u003e\u003cp\u003eLe opzioni del kit Jetson AGX Thor 128GB raggruppano la scheda con un adattatore di alimentazione, cavo USB‑C, cavo DP‑to‑HDMI, telecamera industriale USB, involucro per SSD, hub USB 3.0 e SSD NVMe e touchscreen opzionali.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"1TB \/ Kit di Sviluppo","offer_id":53135903555808,"sku":"6000101391-1","price":8003.8,"currency_code":"USD","in_stock":true},{"title":"1TB \/ Kit Avanzato Vision","offer_id":53135903588576,"sku":"6000101391-2","price":8134.6,"currency_code":"USD","in_stock":true},{"title":"1TB \/ Kit di Modello AI Grande","offer_id":53135903621344,"sku":"6000101391-3","price":8170.6,"currency_code":"USD","in_stock":true},{"title":"1TB \/ Kit Ultimo","offer_id":53135903654112,"sku":"6000101391-4","price":8500.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Kit di Sviluppo","offer_id":53135903686880,"sku":"6000101391-5","price":8459.8,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Kit Avanzato Vision","offer_id":53135903719648,"sku":"6000101391-6","price":8590.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Kit di Modello AI Grande","offer_id":53135903752416,"sku":"6000101391-7","price":8626.6,"currency_code":"USD","in_stock":true},{"title":"2TB \/ Kit Ultimo","offer_id":53135903785184,"sku":"6000101391-8","price":8956.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/JetsonAGXThorDeveloperKit_4.jpg?v=1782125531"},{"product_id":"jetson-nano-b01-developer-kit","title":"NVIDIA Jetson Nano 4GB B01 Kit di Sviluppo per Edge AI\/ROS - A57 1.43GHz, GPU Maxwell a 128 core","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl kit di sviluppo Jetson NANO 4GB B01 AI Large Model è un kit di sviluppo compatto (piattaforma di scheda di sviluppo) progettato per iniziare con l'IA. Può eseguire più reti neurali in parallelo per applicazioni come classificazione delle immagini, rilevamento degli oggetti, segmentazione e elaborazione del linguaggio, e può funzionare con soli 5 watt.\u003c\/p\u003e\u003cp\u003eQuesta piattaforma Jetson Nano utilizza un processore quad-core ARM Cortex-A57 e una GPU Maxwell a 128 core con 4GB di memoria LPDDR, e supporta framework e algoritmi di IA popolari come TensorFlow, PyTorch, Caffe\/Caffe2, Keras e MXNet.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eCPU: Quad-core ARM A57 @ 1.43 GHz\u003c\/li\u003e\n\u003cli\u003eGPU: 128-core Maxwell\u003c\/li\u003e\n\u003cli\u003ePotenza di calcolo AI: 473 GFLOPS (indicato anche come 472 GFLOP nel testo fornito)\u003c\/li\u003e\n\u003cli\u003eFunzionamento a bassa potenza: solo 5 W (indicato anche come 5 W–10 W nel materiale di confronto fornito)\u003c\/li\u003e\n\u003cli\u003eCodifica video: 4K @ 30; 4x 1080p @ 30; 9x 720p @ 30 (H.264\/H.265)\u003c\/li\u003e\n\u003cli\u003eDecodifica video: 4K @ 60; 2x 4K @ 30; 8x 1080p @ 30; 18x 720p @ 30 (H.264\/H.265)\u003c\/li\u003e\n\u003cli\u003eInterfaccia della fotocamera: canale MIPI CSI-2 DPHY *2\u003c\/li\u003e\n\u003cli\u003eDisplay: HDMI e DP\u003c\/li\u003e\n\u003cli\u003eNetworking \/ espansione: Ethernet Gigabit; M.2 Key E; supporta scheda di rete ad alta velocità dual-band M.2; supporta scheda di rete USB ad alta velocità\u003c\/li\u003e\n\u003cli\u003eUSB: 4x USB 3.0; USB 2.0 Micro-B\u003c\/li\u003e\n\u003cli\u003eAltri I\/O elencati: GPIO, I2C, I2S, SPI, UART\u003c\/li\u003e\n\u003cli\u003eIngressi di alimentazione menzionati: micro USB, alimentazione DC e PoE (come indicato nel testo fornito)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eQuad-core ARM A57 @ 1.43 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e128 core Maxwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza di calcolo AI\u003c\/td\u003e\n\u003ctd\u003e473 GFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd\u003e4 GB 64 bit LPDDR4 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCodificatore video\u003c\/td\u003e\n\u003ctd\u003e4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDecoder video\u003c\/td\u003e\n\u003ctd\u003e4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia della fotocamera\u003c\/td\u003e\n\u003ctd\u003eMIPI CSI-2 DPHY channel *2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eConnessione\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, M.2 Key E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003eHDMI e DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4 USB 3.0, USB 2.0 Micro-B\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInternet (come indicato)\u003c\/td\u003e\n\u003ctd\u003eSupporta scheda di rete USB ad alta velocità; Supporta M.2 scheda di rete ad alta velocità dual-band\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAltro\u003c\/td\u003e\n\u003ctd\u003eGPIO, I2C, I2S, SPI, UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensione\u003c\/td\u003e\n\u003ctd\u003e100 mm x 80 mm x 29 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNote di archiviazione (Demo ufficiale vs versione SUB)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIl materiale di confronto fornito elenca due varianti: \u003cstrong\u003eJetson Nano 4GB Developer Kit (SUB)\u003c\/strong\u003e e \u003cstrong\u003eJetson Nano 4GB Developer Kit (Demo ufficiale)\u003c\/strong\u003e. \u003c\/li\u003e\n\u003cli\u003eArchiviazione SUB (mostrata): \u003cstrong\u003e16GB eMMC\u003c\/strong\u003e. Il materiale afferma che la scheda può essere avviata senza archiviazione esterna e che 16GB eMMC soddisfa le esigenze di sviluppo regolari ed è compatibile con il file immagine di sistema ufficiale.\u003c\/li\u003e\n\u003cli\u003eArchiviazione Demo ufficiale (mostrata): \u003cstrong\u003emicroSD (non inclusa)\u003c\/strong\u003e. Il materiale afferma che gli utenti devono acquistare una scheda TF (microSD) e scrivere il file immagine di sistema per avviare la scheda.\u003c\/li\u003e\u003cli\u003eSe la capacità di archiviazione è insufficiente per un progetto, il materiale indica che la capacità può essere ampliata utilizzando un disco USB o una scheda TF.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eNota sulla scheda TF \/ Immagine di sistema\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eIl materiale fornito afferma: “La scheda TF inclusa nell'elenco di spedizione è tutta scritta con l'immagine di sistema.”\u003c\/li\u003e\n\u003cli\u003eIl materiale fornito afferma anche: “Tutte le versioni del kit contengono una scheda TF da 64GB.”\u003c\/li\u003e\n\u003cli\u003eUn'altra nota afferma che l'installazione dell'immagine di sistema ufficiale + configurazione dell'ambiente AI può superare i 32GB, ed è consigliato utilizzare un disco U\/scheda TF di 64GB o superiore.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eVideo tutorial\u003c\/h2\u003e\u003cp\u003e\u003ciframe height=\"751\" src=\"https:\/\/www.youtube.com\/embed\/c3X-oz8DKCA\" title=\"🦞OpenClaw Skills on Your Jetson nano B01 Board!\" width=\"1335\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/1VGrsyxVahs\" title=\"Turn Your Jetson Nano into an AI Chatbot! #ai #AIChatbot #EdgeAI #JetsonNano\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eCorso \/ Contenuto del tutorial (come fornito)\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAggiornato a giugno 2026\u003c\/strong\u003e: Tutorial di distribuzione e applicazione di OpenClaw (NUOVO). Sono stati indicati due metodi di interazione: moduli WAP e vocali.\u003c\/li\u003e\u003cli\u003e\n\u003cstrong\u003eGuide avanzate su ROS\u003c\/strong\u003e (CALDA): I fondamenti di ROS1 e ROS2 e i materiali di apprendimento correlati sono mostrati.\u003c\/li\u003e \n\u003cli\u003e\n\u003cstrong\u003eGuide avanzate sullo sviluppo della visione AI\u003c\/strong\u003e (CALDA): include elementi come il tutorial sulla fotocamera a bordo, il test della fotocamera esterna USB, la costruzione dell'ambiente Jetson-Inference, la costruzione dell'ambiente DeepStream e altro (come elencato nel sommario qui sotto).\u003c\/li\u003e \n\u003c\/ul\u003e\u003ch3\u003eSchema del corso Jetson Nano B01 (estratto)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eInizia rapidamente\u003c\/strong\u003e: 1. Impara il percorso; 2. Tutorial di avvio rapido\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTutorial di base Jetson Nano B01\u003c\/strong\u003e: 1. Introduzione a Jetson nano B01; 2. Flash dell'immagine di sistema; 3. Rilettura del disco SD flashato; 4. Jetson Nano B01 si avvia; 5. Scrivi l'immagine ufficiale (SDK)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTutorial di base della scheda SUB Jetson Nano B01\u003c\/strong\u003e: 1. Introduzione alla scheda SUB Jetson Nano B01; 2. Scrivi l'immagine di sistema EMMC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvvio di TF\u003c\/strong\u003e: 1.Jetson Nano SUB avvio e scalabilità della scheda TF; 2. Scrivere l'immagine del sistema della scheda TF; 3. Rilettura del disco SD flashato; 4. Scrivere la scheda TF di avvio\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAvvio della chiavetta USB\u003c\/strong\u003e: 1. Scrivere l'avvio EMMC; 2. Scrivere il sistema della chiavetta USB; 3. Rilettura del disco della chiavetta USB flashata; 4. Avvio del Jetson Nano SUB\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGuida alla configurazione di base del sistema\u003c\/strong\u003e: 1. Introduzione al sistema Jetson Nano B01 e al desktop; 2. Espansione della scheda SD; 3. Configurazione della rete; 4. Trasferimento file SSH Telnet; 5. Accesso remoto VNC; 6. Backup del sistema Jetson Nano B01; 7. Aumento dello spazio di swap del Jetson Nano B01; 8. Installazione e utilizzo di Jtop\u003c\/li\u003e\n\u003cli\u003e \n\u003cstrong\u003eGuida al controllo hardware GPIO\u003c\/strong\u003e: 1. Utilizzo delle API delle librerie GPIO; 2. Configurazione della libreria hardware Jetson Nano B01; 3. Funzione di lettura dei pin; 4. Controllo dell'uscita di livello dei pin; 5. Controllo LED; 6. Jetson Nano B01 comunica con le porte seriali dei dispositivi esterni; 7. Comunicazione I2C del Jetson Nano B01\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGuida visiva avanzata all'IA\u003c\/strong\u003e: 1.Tutorial della fotocamera a bordo; 2. Test della fotocamera esterna USB; 3. Installazione di Jupyter lab e Jetcham; 4. Installare TensorFlow (opzionale); 5. Costruzione dell'ambiente Jetson-Inference (opzionale); 6. Ciao Mondo AI; 7. Ragionamento sulla classificazione delle immagini; 8. Ragionamento sulla rilevazione degli oggetti; 9. Segmentazione semantica; 10. Stima della posa; 11. Riconoscimento delle azioni; 12. Rimozione dello sfondo; 13. Stima della profondità monoculare; 14. Costruzione dell'ambiente DeepStream (opzionale); 15. Ispezione automobilistica; 16. Introduzione a yolo5; 17. Costruzione dell'ambiente YOLO5 (opzionale); 18. Rilevazione in tempo reale di yolo5; 19. accelerazione yolo5 + tensorrt; 20. accelerazione yolo5 + tensorrt + Deep Stream (apri fotocamera); 21. Costruzione dell'ambiente Mediapipe (opzionale); 22. Sviluppo di Mediapipe; 23. Leggi Me\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUtilizzo avanzato di YOLOv11 \/ YOLO26\u003c\/strong\u003e (NUOVO): 00. Da leggere prima di eseguire; 01. Costruzione dell'ambiente YOLOv11; 02. Utilizzo della CLI; 03. Rilevazione degli oggetti; 04. Segmentazione delle istanze; 05. Stima della posa; 06.Classificazione delle immagini; 07. Rilevamento degli oggetti con box di delimitazione orientati; 08. Conversione del modello\u003c\/li\u003e\n\u003cli\u003e \n\u003cstrong\u003eCorso base ROS1\u003c\/strong\u003e: 1. Introduzione a ROS; 2. Struttura dei file di progetto; 3. Comandi e strumenti comuni; 4. Publisher; 5. Subscribers; 6. Personalizzare i messaggi dei topic e utilizzo; 7. Client; 8. Server; 9. Personalizzare i messaggi di servizio e utilizzo; 10. Rilascio e monitoraggio di TF\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCorso di elaborazione visiva delle immagini ROS1\u003c\/strong\u003e: 1. Visione AR; 2. Codice QR AR; 3. Fondazione ROS+OpenCV; 4. Applicazione ROS+OpenCV; 5. Sviluppo MediaPipe\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCorso base ROS2\u003c\/strong\u003e: 1. Introduzione a ROS2; 2. Installazione di ROS2 Humble; 3. Ambiente di sviluppo ROS2; 4. Spazio di lavoro ROS2; 5. Pacchetto funzione ROS2; 6. Nodo ROS2; 7. Comunicazione dei topic ROS2; 8. Comunicazione dei servizi ROS2; 9. Comunicazione delle azioni ROS2; 10. Messaggio di interfaccia personalizzata ROS2; 11. Caso di servizio parametro ROS2; 12. Pacchetto meta-funzione ROS2; 13. Comunicazione distribuita ROS2; 14. ROS2 DDS; 15.API relative al tempo di ROS2; 16. Strumenti di comando comuni di ROS2; 17. Utilizzo di ROS2 rviz2; 18. Toolbox ROS2 rqt; 19. Configurazione del file di avvio di ROS2 Launch; 20. Strumento di registrazione e riproduzione di ROS2; 21. Modello URDF di ROS2; 22. Piattaforma di simulazione Gazebo di ROS2; 23. Trasformazione delle coordinate TF2 di ROS2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCorso Docker\u003c\/strong\u003e: 1. Panoramica e installazione; 2. Comandi comuni; 3. Comprendere e pubblicare immagini; 4. Elaborazione dei dati di interazione hardware; 5. Entrare nel contenitore docker; 6. Aggiornare le immagini docker\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCorso di elaborazione delle immagini OpenCV\u003c\/strong\u003e: 1. Corso base di OpenCV; 2. Applicazione ROS+opencv; 3. Riconoscimento di codici QR; 4. Visione AR; 5. Mediapipe\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTutorial sui grandi modelli AI offline\u003c\/strong\u003e: 0. Istruzioni per l'immagine del sistema di grandi modelli AI; 1. Distribuzione dell'ambiente di grandi modelli AI; 2. Installare la piattaforma di dialogo per grandi modelli; 3. Modello Meta AI Llama 3.2; 4. Modello Alibaba Cloud Qwen2; 5. Modello Alibaba Cloud Qwen3; 6. SUTD TinyLlama; 7. Modello DeepSeek DeepSeek-R1; 8. Microsoft Phi-3; 9. Microsoft Orca Mini; 10. NVIDIA StarCoder2; 11. Google Gemma3 Modello Multimodale Visivo Grande; 12. Sintesi Vocale Offline (TTS); 13. Riconoscimento Vocale Offline (ASR)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTutorial sui modelli grandi online\u003c\/strong\u003e: 1. Piattaforma di aggregazione API per modelli grandi OpenRouter; 2. Applicazione di comprensione visiva multimodale; 3. Applicazione di localizzazione visiva multimodale; 4. Applicazione di scansione di tabelle multimodale; 5. Applicazione proxy autonoma multimodale\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModello grande online (Interazione vocale)\u003c\/strong\u003e: 0. Connessione hardware per interazione vocale (ReadMe); 1. Riconoscimento vocale offline (ASR); 2. Sintesi vocale offline (TTS); 3. Interazione vocale con modello grande AI; 4. Interazione vocale di comprensione visiva multimodale; 5. Applicazione di posizione visiva multimodale; 6. Applicazione di scansione di tabelle multimodale; 7. Applicazione proxy autonoma multimodale; 8. Assistente vocale offline con modello grande AI\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDistribuzione e utilizzo di base di OpenClaw\u003c\/strong\u003e: 1.Distribuzione OpenClaw; 2. Applicazione del plugin WAP di OpenClaw; 3. Interazione WebChat di OpenClaw; 4. Interazione TUI di OpenClaw; 5. Introduzione agli strumenti di OpenClaw; 6. Manuale utente del gateway OpenClaw Gate; 7. Panoramica delle funzionalità di OpenClaw; 8. Introduzione all'hub OpenClaw (installazione delle competenze); 9. Gestione dei file dell'applicazione OpenClaw; 10. Applicazione della fotocamera OpenClaw; 12. Esecuzione dello script dell'applicazione OpenClaw; 13. Programmazione dell'applicazione OpenClaw (Controllo GPIO periferico \u0026amp;); 14. Applicazione dell'Assistente AI dedicato di OpenClaw\u003c\/li\u003e\n\u003cli\u003e \n\u003cstrong\u003ePreparazione di OpenClaw prima dell'uso\u003c\/strong\u003e: 1. Configurazione dell'hardware periferico; 2. Configurazione della chiave API di OpenClaw; 3. Modello di commutazione di OpenClaw; 4. Parole di attivazione di OpenClaw; 5. Configurazione dell'interazione vocale AI; 6. Test di configurazione dello schema 3D\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProgrammazione dell'atto periferico OpenClaw (controllo periferico)\u003c\/strong\u003e: 1. Controllo servo; 2. Striscia LED RGB; 3. OLED\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSviluppo avanzato dell'estensione OpenClaw\u003c\/strong\u003e: 1.Sensori di temperatura e umidità; 2. Applicazione della fotocamera; 1. Maggiordomo per la cura delle piante; 2. Stima del calore AI; 3. Gioco del palmo AI-Guessing; 4. Animale domestico AI; 5. Stazione meteorologica AI; 6. Misuratore di sensibilità alla temperatura; 7. Compiti programmati\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eLista di imballaggio (note mostrate)\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eIl materiale fornito indica: il funzionamento della scheda separata richiede un adattatore di alimentazione e una scheda di memoria da 64G.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003ePrototipazione Edge AI: classificazione delle immagini, rilevamento degli oggetti, segmentazione, elaborazione del linguaggio naturale\u003c\/li\u003e\n\u003cli\u003eApprendimento ROS e sviluppo della robotica (il sistema ROS \/ robot ROS sono mostrati come obiettivi di apprendimento supportati nel materiale fornito)\u003c\/li\u003e\n\u003cli\u003eVisione artificiale e progetti basati su fotocamera tramite MIPI CSI-2 (2 canali) o fotocamere USB (come indicato nel programma del corso)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePer conferma dell'ordine (variante di archiviazione, accessori inclusi) o domande di integrazione (M.2 Chiave E schede WiFi, telecamere, alimentazione), contattare support@rcdrone.top or visita https:\/\/rcdrone.top\/. \u003c\/p\u003e \u003ch2 id=\"details\"\u003eDettagli\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit.jpg?v=1782279634\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_73ba290c-450f-481c-9f6a-d08439efaf8c.jpg?v=1782279644\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-NANO-4GB-B01-AI-Large-Model-Developer-Kit_504cb47e-8704-428d-9c77-ee582e003072.jpg?v=1782279649\" loading=\"lazy\" alt=\"Jetson NANO 4GB B01 AI Large Model Developer Kit\"\u003e\u003cimg 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Nano; alimentazione stabile.\u003c\/li\u003e\n\u003cli\u003eModalità di alimentazione (SUPER): la modalità di alimentazione massima supporta fino a 25W (rispetto ai 15W precedenti all'aggiornamento).\u003c\/li\u003e\n\u003cli\u003eSupporta l'alimentazione PoE (come indicato nei punti salienti delle caratteristiche del kit).\u003c\/li\u003e\n\u003cli\u003eStorage di sistema pre-installato: SSD M.2 da 256GB con un'immagine di sistema pre-scritta.\u003c\/li\u003e\n\u003cli\u003eWireless incluso: scheda di rete wireless dual-band supporta BT 5.0 e Wi-Fi dual-band; include due antenne ad alto guadagno da 3dB; velocità di trasmissione fino a 867Mbps.\u003c\/li\u003e\n\u003cli\u003eRisorse tutorial fornite per ROS e visione AI; immagini di sistema fornite.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ch3\u003eSpecifiche della variante SUPER di Jetson Orin Nano (dalla tabella di confronto fornita)\u003c\/h3\u003e\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctr\u003e\n\u003cth\u003eParametro\u003c\/th\u003e\n\u003cth\u003eOrin Nano SUPER 4GB\u003c\/th\u003e\n\u003cth\u003eOrin Nano SUPER 8GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchitettura GPU\u003c\/td\u003e\n\u003ctd\u003eArchitettura NVIDIA Ampere\u003c\/td\u003e\n\u003ctd\u003eArchitettura NVIDIA Ampere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA \/ Core Tensor\u003c\/td\u003e\n\u003ctd\u003e512 Core CUDA \/ 16 Core Tensor\u003c\/td\u003e\n\u003ctd\u003e1.024 Core CUDA \/ 32 Core Tensor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequenza massima GPU\u003c\/td\u003e\n\u003ctd\u003e1020 MHz\u003c\/td\u003e\n\u003ctd\u003e1020 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza di calcolo AI\u003c\/td\u003e\n\u003ctd\u003e34 TOPS (Sparsa), 17 TOPS (Densa)\u003c\/td\u003e\n\u003ctd\u003e67 TOPS (Sparsa), 33 TOPS (Densa)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eCPU Arm Cortex-A78AE v8.2 a 6 core 64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequenza massima CPU\u003c\/td\u003e\n\u003ctd\u003e1,7 GHz\u003c\/td\u003e\n\u003ctd\u003e1.7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSPEC int rate\u003c\/td\u003e\n\u003ctd\u003e118\u003c\/td\u003e\n\u003ctd\u003e118\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd\u003e4GB 64-bit LPDDR5 (51 GB\/s)\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5 (102 GB\/s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza\u003c\/td\u003e\n\u003ctd\u003e7W \/ 10W \/ 25W\u003c\/td\u003e\n\u003ctd\u003e7W \/ 15W \/ 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eArchiviazione\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eScheda SD o NVMe esterno\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia della fotocamera\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eInterfaccia CSI a 2 canali (22pin, passo 0,5mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia di uscita video\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eInterfaccia DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia di trasmissione dati\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eInterfaccia Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia M.2 Key\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eM.2 Key E + M.2 Key M*2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\u003ch3\u003eNote di aggiornamento delle prestazioni (come indicato nei materiali forniti)\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eLe prestazioni di calcolo sono aumentate di circa il 70%.\u003c\/li\u003e\n\u003cli\u003eLa frequenza della CPU è aumentata del 13%.\u003c\/li\u003e\n\u003cli\u003eLa larghezza di banda della memoria è aumentata del 50%.\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eGuide \u0026amp; Immagine di sistema\u003c\/h2\u003e\u003cul\u003e \n\u003cli\u003eL'immagine di sistema è scritta sull'SSD prima della spedizione.\u003c\/li\u003e\n\u003cli\u003ePoiché il modulo core Jetson Orin NANO non ha memoria eMMC, è necessario un'unità NVMe per il funzionamento; si consiglia un SSD per un'esperienza più veloce e fluida.\u003c\/li\u003e\n\u003cli\u003eI materiali sono contrassegnati come “Materiali originali \u0026amp; Aggiornati continuamente” (aggiornati a giugno 2026).\u003c\/li\u003e\n \u003cli\u003eL'immagine di sistema gratuita è indicata per l'ambiente di sviluppo YOLO26 (YOLO26).\u003c\/li\u003e\n\u003cli\u003eConteggi dei corsi mostrati: guida all'uso di base del Jetson Orin Nano (totale 30 corsi), corso di sviluppo ROS del Jetson Orin Nano (totale 57 corsi), corso di sviluppo avanzato della visione AI del Jetson Orin Nano (totale 14 corsi).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eModulo core NVIDIA Jetson Orin Nano + scheda carrier Jetson Orin Nano (Developer Kit).\u003c\/li\u003e\n\u003cli\u003eSSD M.2 da 256GB con immagine di sistema pre-scritta.\u003c\/li\u003e\u003cli\u003eScheda di rete wireless e antenne (Wi-Fi dual-band + BT 5.0; due antenne ad alto guadagno da 3dB; fino a 867Mbps).\u003c\/li\u003e\n\u003cli\u003eAdattatore di alimentazione.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eOpzioni\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eOpzionale senza kit SSD:\u003c\/strong\u003e l'utente fornisce un SSD con capacità di 256GB o superiore.\u003c\/li\u003e\n\u003cli\u003e Supporto per interfaccia SSD dichiarato: dispositivi di archiviazione a stato solido M.2 Key M e M.2 Key B+M; si consiglia la dimensione 2280.\u003c\/li\u003e\n\u003cli\u003e“Nessun kit SSD” è indicato per includere un involucro per il flashing SSD per scrivere l'immagine di sistema fornita su un SSD fornito dall'utente, oltre a tutorial per il flashing.\u003c\/li\u003e\n\u003cli\u003eNota sulla scheda wireless mostrata: il kit ufficiale Jetson Orin Nano SUPER 8GB viene fornito con una scheda di rete M.2; è fornita solo un'antenna esterna.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eSviluppo di visione AI, apprendimento e sviluppo ROS, e progetti di edge computing.\u003c\/li\u003e\n\u003cli\u003eI materiali per lo sviluppo di modelli AI di grandi dimensioni offline e online sono indicati come disponibili nelle risorse fornite.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003ePer assistenza nella scelta (4GB vs 8GB, opzione SSD vs no-SSD) e supporto post-vendita, contattare https:\/\/rcdrone.top\/ o inviare un'email a support@rcdrone.top. \u003c\/p\u003e\u003ch2 id=\"details\"\u003e Dettagli\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Jetson robotics application examples using NVIDIA Jetson developer kits for AI and ROS projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with.jpg?v=1782278105\"\u003e\u003cp\u003eUtilizza il calcolo alimentato da Jetson per costruire robot mobili, quadrupedi e progetti di automazione abilitati alla visione.\u003c\/p\u003e\n\u003cimg alt=\"Promo banner for Jetson Orin NX SUPER module with TOPS highlights and carrier board reference\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_e306293a-1cd7-4e48-a82f-7812feaa391f.jpg?v=1782278116\"\u003e\u003cimg alt=\"Promo banner for Jetson AGX Orin with 275 TOPS claim and compact developer kit enclosure\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_4bc0183b-56e2-4346-81bf-ce4da3fb4195.jpg?v=1782278121\"\u003e\u003cimg alt=\"Promo banner for Jetson AGX Thor with TFLOPS highlights and front I\/O ports on compact case\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3c316912-9892-475e-88c3-4bc4f12200d9.jpg?v=1782278127\"\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER Developer Kit package with carrier board, cooling fan, and key features icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_82f54d44-70a0-4786-a5ab-06b79f54214e.jpg?v=1782278134\"\u003e\u003cp\u003eScegli 4GB o 8GB di RAM e ottieni un kit pronto all'uso con I\/O integrato, raffreddamento e accessori inclusi per un rapido avvio.\u003c\/p\u003e\n\u003cimg alt=\"Overview of included OpenCV example projects and continuously updated AI\/ROS learning materials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_633fa0cb-9e00-404e-aaa8-103b2cf7b9fc.jpg?v=1782278141\"\u003e\u003cp\u003eRisorse didattiche e codice di esempio ti aiutano a iniziare rapidamente con la visione AI, dimostrazioni di modelli grandi e flussi di lavoro di sviluppo ROS.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER performance comparison table highlighting up to 67 TOPS and upgrade notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_37949445-b644-4466-8826-38de1aae5e50.jpg?v=1782278147\"\u003e\u003cp\u003eL'upgrade SUPER aumenta il calcolo disponibile e supporta modalità di potenza più elevate per carichi di lavoro AI più pesanti.\u003c\/p\u003e\n\u003cimg alt=\"Bar charts comparing Orin Nano SUPER gains in TOPS, CPU frequency, and memory bandwidth versus earlier versions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_14709035-9a70-4703-8912-83d0755770db.jpg?v=1782278153\"\u003e\u003cimg alt=\"Power mode screenshots comparing Orin Nano SUPER 25W max power versus 15W before upgrade, with benchmark outputs\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_eea2379d-43ab-494a-a18b-fd49d7d78b30.jpg?v=1782278159\"\u003e\u003cp\u003eLa modalità di potenza massima più alta (fino a 25W) sblocca ulteriore margine di prestazioni quando la tua applicazione ne ha bisogno.\u003c\/p\u003e\n\u003cimg alt=\"256GB M.2 SSD with pre-written system image and included dual-band Wi‑Fi\/Bluetooth card with antennas\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_536097fa-0411-423b-b2c2-51bceec49078.jpg?v=1782278165\"\u003e\u003cp\u003eUn SSD NVMe da 256GB pre-impostato più hardware Wi‑Fi\/BT riduce i tempi di configurazione in modo da poter avviare e iniziare a sviluppare prima.\u003c\/p\u003e\u003cimg alt=\"Optional kit version without SSD, including SSD flashing enclosure and notes about supplying your own NVMe drive\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_606dacce-a5f2-4934-83c7-00f327e1fab7.jpg?v=1782278171\"\u003e\u003cp\u003eSe hai già un'unità NVMe, l'opzione senza SSD supporta il flashing con l'involucro fornito e i download dell'immagine di sistema.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER Developer Kit board image with Jetson computing power bar chart across models\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_184974b6-5a72-4296-9fbc-b68f22cd8971.jpg?v=1782278178\"\u003e\u003cimg alt=\"Course outline screenshot for Jetson Orin Nano SUPER tutorials and training materials download page\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3256ec20-7be8-4c01-ad4d-d1f940ce8187.jpg?v=1782278184\"\u003e\u003cimg alt=\"Detailed syllabus page listing OpenCV, YOLO, and ROS lesson modules and development topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_852083bc-39c7-45f5-9920-3a169ebb383a.jpg?v=1782278190\"\u003e\u003cimg alt=\"Folder-style catalog of open-source code and tutorial sets, including ROS2 basics and YOLO\/vision topics\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_cba21dc3-98cb-4a41-afc5-b1edb018d7e3.jpg?v=1782278197\"\u003e\u003cp\u003eLe cartelle del corso scaricabili organizzano esempi per argomento—dalla configurazione di base a ROS2 e pipeline di visione artificiale.\u003c\/p\u003e\n\u003cimg alt=\"Offline\/online AI large-model development materials with visual understanding, text-to-picture, and localization demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_1994c679-7b2c-42b1-850d-d197095d68ac.jpg?v=1782278203\"\u003e\u003cp\u003eLe applicazioni di esempio coprono compiti di intelligenza artificiale multimodale come Q\u0026amp;A visiva, generazione di immagini e localizzazione su hardware edge.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Isaac ROS development tutorial topics including DNN stereo depth, 3D mapping, object detection, and pose estimation\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_fe3c504c-570b-40ee-a7d4-92023c226fa0.jpg?v=1782278209\"\u003e\u003cp\u003eI contenuti del tutorial Isaac ROS supportano stack di percezione robotica comuni come profondità, mappatura, rilevamento e stima della posa.\u003c\/p\u003e\n\u003cimg alt=\"OpenCV advanced development materials featuring browser control, automation programming, and interactive demo examples\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_5647cbc4-32d3-430b-9575-df23b04c126b.jpg?v=1782278216\"\u003e\u003cimg alt=\"Banner showing an M.2 SSD and USB enclosure with note about writing the system image file to the SSD\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_a8c209a8-9187-4604-9df7-2f30e89cb480.jpg?v=1782278221\"\u003e\u003cp\u003eUn involucro SSD M.2 opzionale può essere utilizzato per scrivere il file immagine di sistema sull'SSD per una configurazione fai-da-te.\u003c\/p\u003e\n\u003cimg alt=\"Promotional slide for a Jetson LLM case, listing DeepSeek-R1, Qwen, Meta and LLaVA for multimodal vision and text demos\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_bc5bc572-5246-4bb5-b144-c0ff5738e142.jpg?v=1782278227\"\u003e\u003cp\u003eI materiali di apprendimento AI inclusi coprono dimostrazioni LLM multimodali utilizzando DeepSeek-R1, Qwen, Meta e LLaVA per comprensione semantica e riconoscimento visivo.\u003c\/p\u003e\u003cimg alt=\"Jetson Orin Nano SUPER performance infographic showing LLM, vision transformer, and VLM speedup benchmarks\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_89b6b29e-ee34-4ade-95a0-fca0e3e6a747.jpg?v=1782278233\"\u003e\u003cp\u003eI risultati dei benchmark del Jetson Orin Nano SUPER riassumono i guadagni di prestazioni relativi tra i LLM popolari, i trasformatori visivi e i VLM dopo un aggiornamento rispetto alla configurazione di base.\u003c\/p\u003e\n\u003cimg alt=\"Acrylic and aluminum alloy mini case options for NVIDIA Jetson Orin Nano SUPER, with fan, RGB and OLED panel\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_ab068c88-4b16-44a5-9f44-4c539e2b10b1.jpg?v=1782278239\"\u003e\u003cp\u003eLe custodie mini in acrilico o lega di alluminio opzionali aggiungono un pulsante di accensione\/reset, una ventola di raffreddamento, una barra luminosa RGB e un display OLED per un'installazione ordinata del Jetson Orin Nano SUPER.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano developer kit board with cooling fan, dual 22-pin CSI camera support and expansion module setup\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3debfbeb-3475-450a-bdba-5dff11f5afe7.jpg?v=1782278252\"\u003e\u003cp\u003eIl kit di sviluppo Jetson Orin Nano supporta due telecamere CSI a 22 pin e può essere abbinato a moduli di espansione vocali e OpenCV per la prototipazione.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER dev kit board with fan, 40-pin GPIO, USB-C, dual USB 3.0, RJ45, DP and camera port\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_3d0cdebd-4df0-443f-9755-63c021f5651a.jpg?v=1782278257\"\u003e\u003cp\u003eIl kit di sviluppo Jetson Orin Nano SUPER fornisce un layout di connettori compatto con USB-C, doppio USB 3.0, Ethernet RJ45, DisplayPort, GPIO a 40 pin e un'interfaccia per telecamera a 22 pin.\u003c\/p\u003e\n\u003cimg alt=\"Top and bottom view of NVIDIA Jetson Orin Nano SUPER developer kit showing ports, headers, and fan connector layout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_0976101c-99ae-4ef5-9b8a-bf967d8b0d81.jpg?v=1782278264\"\u003e\u003cp\u003eIl layout del kit di sviluppo Jetson Orin Nano SUPER include HDMI, Ethernet, USB, connettore per telecamera CSI, header a 40 pin e interfacce di alimentazione per un'integrazione semplice.\u003c\/p\u003e\u003cimg alt=\"Jetson system image info listing Ubuntu 22.04 with CUDA 12.6, TensorRT 10.7, cuDNN 9.6.0 and OpenCV 4.10.0\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_1c4f34ab-511c-4036-99ad-a4d6f91a3bdf.jpg?v=1782278269\"\u003e\u003cp\u003eL'immagine di sistema Jetson è basata su Ubuntu 22.04 e supporta NVIDIA CUDA 12.6, TensorRT 10.7, cuDNN 9.6.0 e OpenCV 4.10.0.\u003c\/p\u003e\n\u003cimg alt=\"Jetson full series comparison table listing Jetson Orin Nano Super 4GB\/8GB and other models with TOPS and RAM\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_d528fe5b-92de-47d9-ac20-9b01d830e0eb.jpg?v=1782278275\"\u003e\u003cp\u003eIl confronto della serie completa Jetson elenca le principali differenze tra i moduli Jetson, comprese le opzioni Orin Nano Super 4GB (34 TOPS) e 8GB (67 TOPS).\u003c\/p\u003e\n\u003cimg alt=\"Spec comparison table for NVIDIA Jetson Orin Nano and Orin NX modules with camera, PCIe, USB, display, and power details\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_d7a15abd-cb0e-4987-9e82-8dccfe57b5c5.jpg?v=1782278281\"\u003e\u003cp\u003eLe specifiche di Jetson Orin Nano e Orin NX delineano le telecamere supportate, le linee PCIe, le opzioni USB, le uscite video e le gamme di potenza per la pianificazione del sistema.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Jetson Orin Nano SUPER Developer Kit with power adapter, antennas, Wi‑Fi card, and optional SSD kit.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_afc3b347-1b15-4221-b2a6-50c98cf2dcde.jpg?v=1782278287\"\u003e\u003cp\u003eI kit Jetson Orin Nano SUPER includono tipicamente la scheda di sviluppo, l'adattatore di alimentazione, le antenne e una scheda di rete wireless, con un'opzione kit SSD mostrata.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin Nano SUPER kit contents with dev board, power adapter, antennas, Wi‑Fi card, 256GB SSD, cables, acrylic case, and IMX219 camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_2476229a-3990-41ba-a785-46bece675329.jpg?v=1782278294\"\u003e\u003cp\u003eI kit Jetson Orin Nano SUPER includono la scheda di sviluppo con adattatore di alimentazione, antenne, scheda Wi‑Fi, SSD da 256GB, cavi DP‑to‑HDMI e USB‑C, un case in acrilico e un modulo fotocamera IMX219 opzionale.\u003c\/p\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano SUPER developer kit bundles with power adapter, antennas, 256GB SSD, cables and IMX219 camera\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_69850fa5-a367-4473-9f78-4dc5b35a3f37.jpg?v=1782278299\"\u003e\u003cp\u003eI kit SUPER Jetson Orin Nano includono la scheda di sviluppo più elementi essenziali come un adattatore di alimentazione, antenne, scheda wireless, SSD da 256GB, cavi e una camera IMX219, con un set di estensione OpenClaw opzionale.\u003c\/p\u003e\n\u003cimg alt=\"Comparison graphic of Jetson Orin Nano SUPER developer kit bundles with power adapter, antennas, SSD, cables and accessories\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NANO-SUPER-Developer-KitSUBOfficial-with_d7fec9ee-b7f9-4af8-9f90-b77756ae5de7.jpg?v=1782278306\"\u003e\u003cp\u003eI bundle del kit di sviluppo Jetson Orin Nano SUPER sono mostrati con accessori comuni come un adattatore di alimentazione, antenne, SSD da 256G, cavo di visualizzazione, camera e opzioni di custodia.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"4GB-SUB \/ Kit di sviluppo senza SSD","offer_id":53136056385760,"sku":"3000101329-1","price":647.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit di Sviluppo","offer_id":53136056418528,"sku":"3000101329-2","price":719.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit di base","offer_id":53136056451296,"sku":"3000101329-3","price":731.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit Avanzato per Fotocamera","offer_id":53136056484064,"sku":"3000101329-4","price":755.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit di Modello AI Grande","offer_id":53136056516832,"sku":"3000101329-5","price":803.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit OpenClaw","offer_id":53136056549600,"sku":"3000101329-6","price":825.4,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Mini PC Kit","offer_id":53136056582368,"sku":"3000101329-7","price":791.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit Superiore","offer_id":53136056615136,"sku":"3000101329-8","price":827.8,"currency_code":"USD","in_stock":true},{"title":"4GB-SUB \/ Kit 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\/ Kit di Modello AI Grande","offer_id":53136057106656,"sku":"3000101329-23","price":899.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Ufficiale \/ Kit OpenClaw","offer_id":53136057139424,"sku":"3000101329-24","price":921.4,"currency_code":"USD","in_stock":true},{"title":"8GB-Ufficiale \/ Mini PC Kit","offer_id":53136057172192,"sku":"3000101329-25","price":887.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Ufficiale \/ Kit Superiore","offer_id":53136057204960,"sku":"3000101329-26","price":923.8,"currency_code":"USD","in_stock":true},{"title":"8GB-Ufficiale \/ Kit Ultimo","offer_id":53136057237728,"sku":"3000101329-27","price":1127.8,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/NVIDIA_JetsonORIN_NANO_01_284c8c60-9fc1-4b8e-a53e-0c74db8636aa.jpg?v=1782126647"},{"product_id":"yahboom-jetson-orin-nx-super-devkit","title":"Yahboom Jetson Orin NX SUPER Kit di Sviluppo 8GB\/16GB LPDDR5, 117\/157 TOPS per ROS \u0026 Visione AI","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl Kit di Sviluppo SUPER Jetson Orin NX combina un modulo centrale NVIDIA Jetson Orin NX con una scheda di espansione Yahboom Jetson Orin NX per lo sviluppo di AI edge. Sono disponibili due opzioni di RAM: 8GB e 16GB. Le prestazioni di calcolo sono indicate come 117 TOPS (8GB SUPER) o 157 TOPS (16GB SUPER). È fornito un SSD M.2 da 256GB con un'immagine di sistema pre-scritta, oltre a una scheda di rete WiFi installata e antenne, alimentatore e accessori per una configurazione più rapida.\u003c\/p\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"580\" src=\"https:\/\/www.youtube.com\/embed\/6W86vzn0KI0\" title=\"Add OpenClaw on your NVIDIA Jetson ORIN NANO. Jetson ORIN NX Board.\" width=\"640\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp style=\"text-align:left;\"\u003e\u003ciframe height=\"695\" src=\"https:\/\/www.youtube.com\/embed\/ZmwJUynYuZ4\" title=\"Build the NEXT BIG AI Product with This! | NVIDIA Jetson Orin Offline AI Model Developer Kit\" width=\"1236\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003cp style=\"text-align:center;\"\u003e\u003ciframe height=\"420\" src=\"https:\/\/www.youtube.com\/embed\/9NjwGo6yaNA\" title=\"Jetson Orin NX SUPER Developer Kit with 8G\/16GB RAM(117TOPS\/157TOPS)\" width=\"600\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\u003ch2\u003eCaratteristiche Chiave\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eScheda di espansione Yahboom Orin NX progettata per la compatibilità con il modulo centrale NVIDIA Jetson Orin NX.\u003c\/li\u003e\n\u003cli\u003eOpzioni LPDDR5 da 8GB\/16GB; varianti SUPER indicate a 117 TOPS (8GB) e 157 TOPS (16GB).\u003c\/li\u003e\n\u003cli\u003eFrequenza GPU indicata fino a 1173MHz; modalità di potenza massima indicata fino a 40W (MAXN 40W riferito).\u003c\/li\u003e\n\u003cli\u003eInclude 256GB M.2 SSD con un'immagine di sistema pre-installata (si afferma che il modulo centrale Jetson Orin NX non abbia memoria eMMC e richieda memoria NVMe per il funzionamento).\u003c\/li\u003e\n\u003cli\u003eScheda di rete wireless dual-band inclusa: BT 5.0 + Wi‑Fi dual-band, antenne ad alto guadagno dual 3dB, velocità fino a 867Mbps.\u003c\/li\u003e\n\u003cli\u003eSupporto per alimentazione POE è elencato.\u003c\/li\u003e\n\u003cli\u003eVengono forniti tutorial e immagini di sistema; i materiali di riferimento includono contenuti ROS e visione AI, oltre a tutorial e materiali del corso per il deployment\/applicazione di OpenClaw (aggiornati a giugno 2026).\u003c\/li\u003e\n\u003cli\u003eRispetto a Jetson Xavier NX, le prestazioni sono dichiarate migliorate di 3~5 volte e la velocità di lettura\/scrittura della memoria raddoppiata.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePer domande di compatibilità pre-vendita (ad esempio, selezione dell'opzione SSD), contattare support@rcdrone.top or visitare https:\/\/rcdrone.top\/. \u003c\/p\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable border=\"1\" cellpadding=\"8\" cellspacing=\"0\"\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eArticolo\u003c\/th\u003e\n\u003cth\u003eOrin NX 8GB\u003c\/th\u003e\n\u003cth\u003eOrin NX 8GB (SUPER)\u003c\/th\u003e\n\u003cth\u003eOrin NX 16GB\u003c\/th\u003e\n\u003cth\u003eOrin NX 16GB (SUPER)\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eArchitettura NVIDIA Ampere; 1024 CUDA Cores; 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequenza massima della GPU\u003c\/td\u003e\n\u003ctd\u003e765MHz\u003c\/td\u003e\n\u003ctd\u003e1173MHz\u003c\/td\u003e\n\u003ctd\u003e918MHz\u003c\/td\u003e\n\u003ctd\u003e1173MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza di calcolo AI\u003c\/td\u003e\n\u003ctd\u003e70 TOPS (Sparsa); 35 TOPS (Densa)\u003c\/td\u003e\n\u003ctd\u003e117 TOPS (Sparsa); 58 TOPS (Densa)\u003c\/td\u003e\n\u003ctd\u003e100 TOPS (Sparsa); 50 TOPS (Densa)\u003c\/td\u003e\n\u003ctd\u003e157 TOPS (Sparsa); 78 TOPS (Densa)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eCPU Arm Cortex-A78AE v8.2 a 6 core 64-bit; 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eCPU Arm Cortex-A78AE v8.2 a 8 core 64-bit; 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFrequenza massima della CPU\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e2.0GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003etasso di int SPEC\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e130\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e167\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAcceleratore DL\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x NVDLA v2\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2x NVDLA v2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRAM\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e8GB 128-bit LPDDR5; 102.4 GB\/s\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e16GB 128-bit LPDDR5; 102.4 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePotenza\u003c\/td\u003e\n\u003ctd\u003e10W | 15W | 20W\u003c\/td\u003e\n\u003ctd\u003e10W | 15W | 25W | 40W\u003c\/td\u003e\n\u003ctd\u003e10W | 15W | 25W\u003c\/td\u003e\n\u003ctd\u003e10W | 15W | 25W | 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemoria\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eSupporto per NVMe esterno\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003escheda principale USB\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003e3x USB 3.2 Gen 2 (10 Gbps); 3x porte USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia della fotocamera\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003einterfaccia CSI a 2 canali (22pin, passo 0.5mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCodifica video\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 (H.265)\u003c\/td\u003e\n\u003ctd\u003e3x 4K30 (H.265)\u003c\/td\u003e\n\u003ctd\u003e6x 1080p60 (H.265)\u003c\/td\u003e\n\u003ctd\u003e12x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDecodifica video\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 (H.265)\u003c\/td\u003e\n\u003ctd\u003e2x 4K60 (H.265)\u003c\/td\u003e\n\u003ctd\u003e4x 4K30 (H.265)\u003c\/td\u003e\n\u003ctd\u003e9x 1080p60 (H.265); 18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia di uscita video\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eInterfaccia DP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia di trasmissione dati\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eInterfaccia Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eInterfaccia M.2 Key\u003c\/td\u003e\n\u003ctd colspan=\"4\"\u003eM.2 Key E + M.2 Key M x2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eModulo centrale Jetson Orin NX + scheda di espansione Yahboom Jetson Orin NX (kit di sviluppo)\u003c\/li\u003e\n\u003cli\u003eSSD M.2 da 256GB con immagine di sistema pre-installata (fornita con il kit come descritto)\u003c\/li\u003e\n\u003cli\u003eScheda di rete wireless con antenne (Wi-Fi dual-band + BT 5.0)\u003c\/li\u003e\n\u003cli\u003eAlimentatore\u003c\/li\u003e\n\u003cli\u003eAltri accessori (non specificati ulteriormente)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eNote sulle opzioni SSD\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e“Opzionale senza kit SSD” è indicato: gli utenti devono fornire il proprio disco a stato solido con capacità di 256GB o superiore.\u003c\/li\u003e\n\u003cli\u003eLe interfacce SSD supportate sono elencate come M.2 Key M e M.2 Key B+M; la dimensione 2280 è raccomandata.\u003c\/li\u003e\n\u003cli\u003eUn involucro per la scrittura\/flashing SSD è elencato con l'opzione “Nessun kit SSD” per il flashing delle immagini di sistema su dischi a stato solido.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eManuali \/ Tutorial\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"http:\/\/www.yahboom.net\/study\/Orin-NX-SUPER\" rel=\"noopener\" target=\"_blank\"\u003eLink al tutorial Jetson Orin NX SUPER\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2 id=\"details\"\u003eDettagli\u003c\/h2\u003e\u003cdiv class=\"details-gallery\"\u003e\n\u003cimg alt=\"Jetson Robotics application banner featuring Jetson-based mobile robots and arms for AI vision projects\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB.jpg?v=1782276927\"\u003e\u003cimg alt=\"Promo banner for Jetson Orin Nano SUPER kit with LPDDR5 memory and ROS + AI vision tutorials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_3229db17-4096-4b54-9ea1-81da97a6bb89.jpg?v=1782276939\"\u003e\u003cimg alt=\"Promo banner for Jetson AGX Orin developer kit highlighting high AI computing power and local deployment\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_a52f74f3-8443-4ff6-97d0-d19a7db08e44.jpg?v=1782276944\"\u003e\u003cimg alt=\"Promo banner for Jetson AGX Thor with large-model support and OpenClaw tutorial materials\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_86b56016-63d0-4a23-b398-511f0fdc6324.jpg?v=1782276950\"\u003e\u003cimg alt=\"Yahboom Jetson Orin NX SUPER Developer Kit on carrier board with cooling fan and feature icons\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_b3df19cb-122c-468b-8003-1f6f60e0f6e1.jpg?v=1782276956\"\u003e\u003cp\u003eCostruito attorno a un modulo centrale NVIDIA Jetson Orin NX più scheda carrier Yahboom per lo sviluppo compatto di AI edge.\u003c\/p\u003e\n\u003cimg alt=\"Overview of continuously updated learning materials (June 2026) for OpenClaw deployment and AI apps\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_2606ef14-b5f1-431f-9687-67b92502bb14.jpg?v=1782276962\"\u003e\u003cp\u003eTutorial e immagini di sistema continuamente aggiornati supportano ROS, flussi di lavoro di visione AI e distribuzione OpenClaw.\u003c\/p\u003e\u003cimg alt=\"Jetson Orin NX SUPER performance comparison chart showing 157 TOPS and key specs table\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_d4465b1a-7419-4676-80a4-6b4e47548163.jpg?v=1782276968\"\u003e\u003cp\u003eScegli varianti LPDDR5 SUPER da 8GB o 16GB, con prestazioni di calcolo fino a 117\/157 TOPS.\u003c\/p\u003e\n\u003cimg alt=\"Upgrade charts comparing Orin NX SUPER power mode and frequency improvements before vs after\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_fff8f9e4-9195-477e-b9ea-21d4444d249b.jpg?v=1782276974\"\u003e\u003cimg alt=\"256GB M.2 SSD with pre-installed system image plus dual-band Wi‑Fi\/BT card and antennas\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_68feacce-a18f-4ee5-9627-693d3b8a6fce.jpg?v=1782276980\"\u003e\u003cp\u003eUn SSD NVMe da 256GB arriva con un'immagine di sistema pre-scritta, e una scheda Wi‑Fi + Bluetooth dual-band è inclusa.\u003c\/p\u003e\n\u003cimg alt=\"Optional kit without SSD showing included flashing enclosure for writing the system image to your own drive\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_38496b56-7757-4940-b4e7-e9c4b6ec389c.jpg?v=1782276985\"\u003e\u003cp\u003eSe hai già un'unità NVMe, l'opzione senza SSD aggiunge un involucro per il flashing dell'SSD per una scrittura rapida dell'immagine.\u003c\/p\u003e\n\u003cimg alt=\"Product introduction slide for Jetson Orin NX kit with core module graphic and computing power chart\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_eeb69366-5837-4946-98d5-5825993a0973.jpg?v=1782276992\"\u003e\u003cp\u003eUtilizza un modulo core NVIDIA Jetson Orin NX ufficiale abbinato a una scheda carrier progettata per progetti di AI edge.\u003c\/p\u003e\n\u003cimg alt=\"Tutorial link and Jetson Orin NX course outline screenshot listing sections and learning modules\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_10a841d4-ad0e-44b3-a019-71b287e0e860.jpg?v=1782277009\"\u003e\u003cimg alt=\"Close-up of course outline page listing ROS\/vision modules and OpenClaw-related lesson items\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_abfe88ad-2861-4480-a6e0-beb06bbe971d.jpg?v=1782277015\"\u003e\u003cimg alt=\"Folder-style list of tutorial resources and open-source code, plus ROS basic video tutorial thumbnails\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_35312539-628b-43d9-8627-712da5467a77.jpg?v=1782277022\"\u003e\u003cp\u003eIl codice open-source e le lezioni passo-passo coprono le basi dalla configurazione e i driver alle nozioni di base delle applicazioni ROS2.\u003c\/p\u003e\n\u003cimg alt=\"Offline\/online AI large model development materials with examples like visual understanding and localization\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_16936816-19e9-4f13-af76-6861b98f9e18.jpg?v=1782277029\"\u003e\u003cp\u003eI progetti di esempio coprono interazione multimodale, comprensione visiva, localizzazione e compiti comuni di visione AI.\u003c\/p\u003e\n\u003cimg alt=\"NVIDIA Isaac ROS development tutorial overview with stereo depth, object detection, SLAM, and 3D mapping\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_7648c8b2-c7f5-4743-81a9-d1fddd77fb87.jpg?v=1782277035\"\u003e\u003cp\u003eI materiali Isaac ROS si concentrano su pipeline di percezione come profondità stereo, ricostruzione 3D e stima della posa.\u003c\/p\u003e\u003cimg alt=\"OpenClaw advanced development materials showing browser control, plant care tasks, and expansion pack notes\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_0d981162-33b0-4922-9f0a-928111d4a493.jpg?v=1782277041\"\u003e\u003cp\u003eLe risorse dell'applicazione OpenClaw includono dimostrazioni avanzate come il controllo del browser, la programmazione di automazione e l'uso degli strumenti.\u003c\/p\u003e\n\u003cimg alt=\"M.2 SSD enclosure product banner for DIY system image writing, with click-to-buy callout\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_5f5f1191-6c5b-4afd-b2b2-cfb6f77f4453.jpg?v=1782277046\"\u003e\u003cp\u003eUn alloggiamento M.2 SSD opzionale è disponibile per gli utenti che desiderano scrivere o riscrivere l'immagine di sistema da soli.\u003c\/p\u003e\n\u003cimg alt=\"Slide describing Yahboom Jetson multimodal LLM resources, with DeepSeek-R1, Qwen, Meta and LLaVA logos and a chat demo\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_69d22c58-7ac3-41df-88ae-3c48ef0fa957.jpg?v=1782277052\"\u003e\u003cp\u003eI materiali multimodali LLM di Yahboom includono esempi che utilizzano DeepSeek-R1, Qwen, Meta e LLaVA per aiutare a avviare progetti di visione AI.\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin NX SUPER performance comparison for LLM, VLM, and visual transformer models on 8GB and 16GB\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_83f7c12a-e963-48a1-88e2-99d4c8e08283.jpg?v=1782277058\"\u003e\u003cp\u003eJetson Orin NX SUPER è presentato con confronti di prestazioni prima e dopo l'aggiornamento su modelli di linguaggio ampio, linguaggio visivo e trasformatori visivi per configurazioni da 8GB e 16GB.\u003c\/p\u003e\n\u003cimg alt=\"Acrylic and aluminum alloy case options with Jetson mini case featuring RGB light bar, fan, and OLED display\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_2bc03eae-96d5-4371-a601-83c602f38f06.jpg?v=1782277064\"\u003e\u003cp\u003eGli alloggiamenti in acrilico o lega di alluminio opzionali includono un case mini Jetson con un display OLED, barra luminosa RGB e ventola di raffreddamento per un setup desktop ordinato.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Jetson Orin NX developer kit with cooling fan, carrier board ports, and dual 22-pin CSI camera support\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_0a533e46-b4f1-4e9a-81eb-478d534f0593.jpg?v=1782277071\"\u003e\u003cp\u003eIl kit di sviluppo Yahboom Jetson Orin NX supporta due telecamere CSI a 22 pin e moduli di espansione opzionali per costruzioni di robotica e visione AI.\u003c\/p\u003e\u003cimg alt=\"Functional layout diagram of Yahboom Jetson Orin NX developer kit board with ports, headers, and mm dimensions\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_e9b88181-f295-4e8f-b280-c0f371036edc.jpg?v=1782277077\"\u003e\u003cp\u003eIl layout del kit di sviluppo Jetson Orin NX etichetta i connettori chiave e le dimensioni della scheda per aiutare a pianificare il cablaggio e il montaggio in un progetto.\u003c\/p\u003e\n\u003cimg alt=\"Graphic for Yahboom Jetson Orin NX kit noting Ubuntu 22.04 system image with CUDA 12.6, TensorRT 10.7 and OpenCV.\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_32f5f2e8-c5c4-41f3-8973-d5cc2666388e.jpg?v=1782277083\"\u003e\u003cp\u003eIl kit include un'immagine di sistema Ubuntu 22.04 aggiornata con supporto per NVIDIA CUDA 12.6, TensorRT 10.7, cuDNN 9.6 e OpenCV 4.10.0.\u003c\/p\u003e\n\u003cimg alt=\"JETSON full series comparison chart listing Orin Nano, Orin NX, and AGX Orin specs including TOPS and memory\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_ac86fbf1-d65b-4118-b042-09be8732a86c.jpg?v=1782277089\"\u003e\u003cp\u003eLa tabella di confronto della serie completa Jetson elenca i moduli Orin Nano, Orin NX e AGX Orin con specifiche chiave come TOPS e opzioni di memoria.\u003c\/p\u003e\n\u003cimg alt=\"Shipping list for Yahboom Jetson Orin NX SUPER kits showing board, power adapter, antennas, Wi‑Fi card, and optional SSD\/cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_f882b6c3-312d-433a-9fb6-59ac34e78889.jpg?v=1782277095\"\u003e\u003cp\u003eLe opzioni del kit SUPER Yahboom Jetson Orin NX includono il kit di sviluppo con alimentatore, antenne, scheda di rete wireless e SSD da 256 GB opzionale più cavi HDMI\/USB‑C a seconda del pacchetto.\u003c\/p\u003e\n\u003cimg alt=\"Yahboom Jetson Orin NX SUPER developer kit bundles with power adapter, antenna, SSD, cables, and IMX219 cameras\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_392eda8b-d88d-4c92-a663-1a529af3d68a.jpg?v=1782277102\"\u003e\u003cp\u003eI pacchetti del kit di sviluppo Yahboom Jetson Orin NX SUPER includono accessori chiave come l'alimentatore, l'antenna, la scheda wireless, l'SSD, i cavi per il display e le opzioni della fotocamera IMX219 per configurazioni di visione AI e ROS.\u003c\/p\u003e\u003cimg alt=\"Yahboom Jetson Orin NX SUPER developer kit bundles showing Mini PC, Superior and Ultimate options with SSD, camera and cables\" loading=\"lazy\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Jetson-Orin-NX-SUPER-Developer-Kit-with-8G16GB_84420923-a0fb-4311-89e7-9a0511786743.jpg?v=1782277108\"\u003e\u003cp\u003eI kit Yahboom Jetson Orin NX SUPER sono offerti in più pacchetti che includono il modulo, l'adattatore di alimentazione, l'antenna, l'SSD, i cavi video\/USB e articoli aggiuntivi come una fotocamera USB e una custodia.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Yahboom","offers":[{"title":"8GB \/ Kit di sviluppo senza SSD","offer_id":53136098394336,"sku":"3000101327-1","price":1103.8,"currency_code":"USD","in_stock":true},{"title":"8GB \/ Kit di 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