{"title":"Compute Modules","description":"\u003cp\u003eProcessor modules for building embedded computers and AI systems. Includes compute modules designed for compatible carrier boards. Choose by processing performance, memory, supported software, connector format and power requirements. Check carrier-board compatibility and included components; a module alone may require additional hardware before use.\u003c\/p\u003e","products":[{"product_id":"nvidia®-jetson-orin™-nx-module-16gb","title":"NVIDIA JETSON Orin NX Modulo 16GB AI Sviluppo di sviluppo, 100 top, CPU a 8 core, 16 GB LPDDR5, PCIe GEN4, 10–25W, 69,6 × 45mm","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eLa scheda di sviluppo AI NVIDIA Jetson Orin NX Module da 16 GB offre fino a 100 TOPS di prestazioni AI nel più piccolo fattore di forma Jetson, con potenza configurabile tra 10 W e 25 W. Offre circa 3 volte le prestazioni di NVIDIA Jetson AGX Xavier e 5 volte quelle di NVIDIA Jetson Xavier NX, rendendola adatta a sistemi AI edge compatti e a basso consumo come droni, robot, dispositivi palmari e dispositivi di visione artificiale integrati.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU con architettura NVIDIA Ampere a 1024 core con 32 Tensor Core\u003c\/li\u003e  \u003cli\u003eAcceleratori di deep learning doppi NVDLA v2.0 e PVA v2.0\u003c\/li\u003e  \u003cli\u003eCPU Arm Cortex-A78AE v8.2 a 8 core a 64 bit\u003c\/li\u003e  \u003cli\u003e16 GB LPDDR5 a 128 bit, larghezza di banda 102,4 GB\/s\u003c\/li\u003e  \u003cli\u003eModalità di potenza: 10W\/15W\/25W\u003c\/li\u003e  \u003cli\u003eI\/O ad alta velocità, incluse interfacce per fotocamera PCIe Gen4 e MIPI CSI-2\u003c\/li\u003e  \u003cli\u003eCodifica\/decodifica video hardware fino a 8K\/4K per inferenza multi-stream all'edge\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003ePrestazioni dell'IA\u003c\/td\u003e  \u003ctd\u003e100 TOP\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eNVIDIA Ampere da 1024 core, 32 core Tensor\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAcceleratore DL\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAcceleratore di visione\u003c\/td\u003e  \u003ctd\u003ePVA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eprocessore\u003c\/td\u003e  \u003ctd\u003eArm Cortex-A78AE a 8 core; 2 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMemoria\u003c\/td\u003e  \u003ctd\u003e16 GB LPDDR5 a 128 bit a 2133 MHz; 102,4 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMagazzinaggio\u003c\/td\u003e  \u003ctd\u003eSupporta NVMe esterno\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCodifica video\u003c\/td\u003e  \u003ctd\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265), H.264, H.265, AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDecodifica video\u003c\/td\u003e  \u003ctd\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265) H.264, H.265, VP9, ​​AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eTelecamera\u003c\/td\u003e  \u003ctd\u003eFino a 4 telecamere (8 tramite canali virtuali*); 8 corsie MIPI CSI‑2; D‑PHY 1.2 (20 Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCI Express\u003c\/td\u003e  \u003ctd\u003e3 x1 + 1 (x4 PCIe Gen 4)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMeccanico\u003c\/td\u003e  \u003ctd\u003e69,6 mm x 45 mm; connettore a 260 pin\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEnergia\u003c\/td\u003e  \u003ctd\u003e10W\/15W\/25W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eModulo NVIDIA Jetson Orin NX 16 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eVeicoli autonomi e robot mobili\u003c\/li\u003e  \u003cli\u003eAnalisi di droni e UAV\u003c\/li\u003e  \u003cli\u003eAutomazione e ispezione industriale\u003c\/li\u003e  \u003cli\u003eDispositivi per l'imaging medico e per l'assistenza sanitaria intelligente\u003c\/li\u003e  \u003cli\u003eInferenza AI edge e vendita al dettaglio intelligente\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson Orin NX Module, Custom Design reComputer with NVIDIA Jetson, Interface, Logo, Image Options\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-NX-Module-1T6NU.webp?v=1759676233\"\u003e\u003cp\u003eProgettazione personalizzata di reComputer con NVIDIA Jetson, interfaccia, logo, opzioni immagine\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833517129952,"sku":"206001695","price":1399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13767-0010-000-2_1_1.jpg?v=1759675159"},{"product_id":"nvidia®-jetson-orin™-nx-module-8gb","title":"NVIDIA JETSON Orin NX Modulo 8GB AI Development Board, 70 Tops Ampere GPU, ARM Cortex-A78AE a 6 core, LPDDR5, 10W-20W","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eQuesta scheda di sviluppo AI sfrutta il modulo NVIDIA Jetson Orin NX da 8 GB per offrire fino a 70 TOPS di prestazioni AI nel più piccolo fattore di forma Jetson, con potenza configurabile tra 10 W e 20 W. Offre prestazioni più del doppio di quelle di NVIDIA Jetson AGX Xavier e 3 volte superiori a quelle di NVIDIA Jetson Xavier NX, rendendola adatta a sistemi compatti e a basso consumo come droni e dispositivi palmari. Offre inoltre prestazioni 5 volte superiori e il doppio dei core NVIDIA CUDA dell'ultima generazione, con supporto di interfaccia ad alta velocità per più sensori.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU con architettura NVIDIA Ampere con 1024 core NVIDIA CUDA e 32 core Tensor\u003c\/li\u003e  \u003cli\u003eCPU Arm Cortex-A78AE v8.2 a 64 bit a 6 core; 1,5 MB L2 + 4 MB L3\u003c\/li\u003e  \u003cli\u003e1x acceleratore di apprendimento profondo NVDLA v2.0\u003c\/li\u003e  \u003cli\u003eAcceleratore di visione PVA v2.0\u003c\/li\u003e  \u003cli\u003eMemoria LPDDR5 da 8 GB a 128 bit (102,4 GB\/s)\u003c\/li\u003e  \u003cli\u003eSupporta NVMe esterno tramite PCIe\u003c\/li\u003e  \u003cli\u003ePotenza configurabile: 10W - 20W\u003c\/li\u003e  \u003cli\u003eMeccanico: 45 mm x 69,6 mm; connettore SO-DIMM a 260 pin\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eArchitettura NVIDIA Ampere con 1024 core NVIDIA CUDA; 32 core Tensor\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eprocessore\u003c\/td\u003e  \u003ctd\u003eCPU Arm Cortex-A78AE v8.2 a 64 bit a 6 core; 1,5 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAcceleratore DL\u003c\/td\u003e  \u003ctd\u003e1x NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAcceleratore di visione\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMemoria\u003c\/td\u003e  \u003ctd\u003eLPDDR5 da 8 GB a 128 bit, 102,4 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMagazzinaggio\u003c\/td\u003e  \u003ctd\u003eSupporta NVMe esterno tramite PCIe\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEnergia\u003c\/td\u003e  \u003ctd\u003e10W - 20W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMeccanico\u003c\/td\u003e  \u003ctd\u003e45 mm x 69,6 mm; connettore SO-DIMM a 260 pin\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eModulo NVIDIA Jetson Orin NX 8 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eVeicoli autonomi\u003c\/li\u003e  \u003cli\u003eDroni e robot\u003c\/li\u003e  \u003cli\u003eAutomazione industriale\u003c\/li\u003e  \u003cli\u003eImaging medico\u003c\/li\u003e  \u003cli\u003eVendita al dettaglio intelligente\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003ePersonalizzazione\u003c\/h2\u003e\u003cp\u003eIl servizio Seeed Agile ODM supporta esigenze hardware personalizzate, tra cui fattori di forma, flashing delle immagini e modifica del logo. \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2023\/05\/10\/custom-design-your-own-recomputer-powered-by-nvidia-jetson\/\" rel=\"noopener\" target=\"_blank\"\u003eSaperne di più\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eDocumenti\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/module\/jetson-orin-nx-datasheet.pdf\" rel=\"noopener\" target=\"_blank\"\u003escheda tecnica jetson-orin-nx\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eCODICE HS\u003c\/td\u003e  \u003ctd\u003e8517180050\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e8543708800\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEUHSCODE\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDirettore operativo\u003c\/td\u003e  \u003ctd\u003eCINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson Orin AI Board, Custom Design reComputer with NVIDIA Jetson, Interface, Logo, Image Options\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/nvidia-jetson-orin-ai-board-hIkTT.webp?v=1759676665\"\u003e\u003cp\u003eProgettazione personalizzata di reComputer con NVIDIA Jetson, interfaccia, logo, opzioni immagine\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833522897120,"sku":"206001696","price":999.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13767-0010-000-2_2.jpg?v=1759676364"},{"product_id":"nvidia®-jetson-orin™-nano-module-4gb","title":"NVIDIA JETSON Orin Nano Modulo 4GB AI Development Board, 20 tops, Ampere GPU, ARM A78AE a 6 core, LPDDR5, PCIe, CSI-2","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl modulo NVIDIA Jetson Orin Nano da 4 GB è un modulo per scheda di sviluppo AI che offre fino a 20 TOPS di prestazioni AI nel più piccolo fattore di forma Jetson. Offre una potenza configurabile da 5 W a 10 W, offrendo prestazioni fino a 40 volte superiori a quelle di NVIDIA Jetson Nano per l'intelligenza artificiale edge entry-level. La descrizione indica anche opzioni di potenza tra 5 W e 15 W e un ingombro pari a quello del Jetson Nano originale.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU con architettura NVIDIA Ampere a 512 core con 16 Tensor Core\u003c\/li\u003e  \u003cli\u003eCPU Arm Cortex-A78AE v8.2 a 64 bit a 6 core (1,5 MB L2 + 4 MB L3)\u003c\/li\u003e  \u003cli\u003e4 GB LPDDR5 a 64 bit (34 GB\/s)\u003c\/li\u003e  \u003cli\u003eSupporta l'archiviazione NVMe esterna\u003c\/li\u003e  \u003cli\u003eFino a 4 telecamere (8 tramite canali virtuali*) su 8 corsie MIPI CSI-2, D-PHY 2.1 (fino a 20 Gbps)\u003c\/li\u003e  \u003cli\u003eVideo: codifica 1080p30 (da 1–2 core CPU); decodifica fino a 1x 4K60\/2x 4K30\/5x 1080p60\/11x 1080p30 (H.265)\u003c\/li\u003e  \u003cli\u003eConnettività e I\/O: PCIe Gen3, USB 3.2 Gen2, USB 2.0, GbE, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026e DSPK, PWM, GPIO\u003c\/li\u003e  \u003cli\u003eDisplay: DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4 (fino a 4K30)\u003c\/li\u003e  \u003cli\u003eModulo compatto: 69,6 mm x 45 mm, connettore SO-DIMM a 260 pin\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003ePrestazioni dell'IA\u003c\/td\u003e  \u003ctd\u003e20 TOP\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eGPU con architettura NVIDIA Ampere a 512 core con 16 Tensor Core\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eFrequenza massima GPU\u003c\/td\u003e  \u003ctd\u003e625 MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eprocessore\u003c\/td\u003e  \u003ctd\u003eCPU Arm Cortex-A78AE v8.2 a 64 bit a 6 core, 1,5 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eFrequenza massima della CPU\u003c\/td\u003e  \u003ctd\u003e1,5 GHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMemoria\u003c\/td\u003e  \u003ctd\u003e4 GB LPDDR5 a 64 bit, 34 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMagazzinaggio\u003c\/td\u003e  \u003ctd\u003eSupporta NVMe esterno\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eTelecamera\u003c\/td\u003e  \u003ctd\u003eFino a 4 telecamere (8 tramite canali virtuali*); 8 corsie MIPI CSI-2, D-PHY 2.1 (fino a 20 Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCodifica video\u003c\/td\u003e  \u003ctd\u003e1080p30 supportato da 1–2 core CPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDecodifica video\u003c\/td\u003e  \u003ctd\u003e1x 4K60 (H.265); 2x 4K30 (H.265); 5x 1080p60 (H.265); 11x 1080p30 (H.265)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCIe\u003c\/td\u003e  \u003ctd\u003e1 x4 + 3 x1 (PCIe Gen3, porta radice ed endpoint)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3x USB 3.2 Gen2 (10 Gbps); 3x USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNetworking\u003c\/td\u003e  \u003ctd\u003e1x GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDisplay\u003c\/td\u003e  \u003ctd\u003e1x 4K30 multimodale DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAltri I\/O\u003c\/td\u003e  \u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026e DSPK, PWM, GPIO\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEnergia\u003c\/td\u003e  \u003ctd\u003e7W – 10W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNota di potenza aggiuntiva\u003c\/td\u003e  \u003ctd\u003ePotenza configurabile da 5W a 10W; la descrizione indica anche le opzioni da 5W a 15W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMeccanico\u003c\/td\u003e  \u003ctd\u003e69,6 mm x 45 mm; connettore SO-DIMM a 260 pin\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin Nano Modulo 4 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eEdge Computing incorporato\u003c\/li\u003e  \u003cli\u003eApplicazioni di intelligenza artificiale\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano AI Board, Custom Design reComputer with NVIDIA Jetson, Interface, Logo, Image Options\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-AI-Board-L1zbp.webp?v=1759677261\"\u003e\u003cp\u003eProgettazione personalizzata di reComputer con NVIDIA Jetson, interfaccia, logo, opzioni immagine\u003c\/p\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg alt=\"NVIDIA Jetson Orin Nano AI Board, The NVIDIA Jetson Orin Nano Module 4GB is an AI development board delivering up to 20 TOPS of performance in its smallest form factor.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-AI-Board-VGF88.png?v=1759677279\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833523912928,"sku":"206001698","price":713.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/258462_2.jpg?v=1759676554"},{"product_id":"nvidia®-jetson-orin™-nano-module-8gb","title":"NVIDIA® Jetson Orin ™ Nano Modulo 8GB - 40 tops Edge AI, Ampere GPU, 6 -core Cortex -A78AE, LPDDR5, CSI, PCIE, USB, GBE","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e  \u003cp\u003eIl modulo NVIDIA® Jetson Orin™ Nano da 8 GB è un modulo di elaborazione AI edge che offre fino a 40 TOPS nel più piccolo fattore di forma Jetson. La potenza è configurabile da 7 W a 15 W, offrendo prestazioni fino a 30 volte superiori a quelle di Jetson TX2 NX, pur mantenendo le dimensioni originali di Jetson Nano. Questo modulo integra una GPU con architettura NVIDIA Ampere e una CPU Arm Cortex-A78AE a 6 core per accelerare la robotica, la visione integrata e l'inferenza edge.\u003c\/p\u003e  \u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eGPU con architettura NVIDIA Ampere a 1024 core con 32 Tensor Core\u003c\/li\u003e  \u003cli\u003eCPU Arm Cortex-A78AE v8.2 a 64 bit a 6 core (1,5 MB L2 + 4 MB L3), fino a 1,5 GHz\u003c\/li\u003e  \u003cli\u003eMemoria LPDDR5 a 128 bit da 8 GB, larghezza di banda di 68 GB\/s\u003c\/li\u003e  \u003cli\u003eSupporta l'archiviazione NVMe esterna\u003c\/li\u003e  \u003cli\u003eInterfaccia telecamera: fino a 4 telecamere (8 tramite canali virtuali*), MIPI CSI‑2 a 8 corsie, D‑PHY 2.1 fino a 20 Gbps\u003c\/li\u003e  \u003cli\u003eVideo: codifica 1080p30 (da 1–2 core CPU); decodifica fino a 4K60 H.265\u003c\/li\u003e  \u003cli\u003eI\/O: PCIe Gen3 (1 x4 + 3 x1), USB 3.2 Gen2 e USB 2.0, 1x GbE, DP\/eDP\/HDMI multimodale, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026e DSPK, PWM, GPIO\u003c\/li\u003e  \u003cli\u003eModulo da 69,6 mm × 45 mm con connettore SO‑DIMM a 260 pin\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eSpecifiche\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003ePrestazioni dell'IA\u003c\/td\u003e  \u003ctd\u003e40 TOP\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eGPU con architettura NVIDIA Ampere a 1024 core con 32 Tensor Core\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eFrequenza massima GPU\u003c\/td\u003e  \u003ctd\u003e625 MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eprocessore\u003c\/td\u003e  \u003ctd\u003eCPU Arm Cortex-A78AE v8.2 a 64 bit a 6 core; 1,5 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eFrequenza massima della CPU\u003c\/td\u003e  \u003ctd\u003e1,5 GHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMemoria\u003c\/td\u003e  \u003ctd\u003e8 GB LPDDR5 a 128 bit; 68 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMagazzinaggio\u003c\/td\u003e  \u003ctd\u003eSupporta NVMe esterno\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eTelecamera\u003c\/td\u003e  \u003ctd\u003eFino a 4 telecamere (8 tramite canali virtuali*); 8 corsie MIPI CSI‑2; D‑PHY 2.1 (fino a 20 Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCodifica video\u003c\/td\u003e  \u003ctd\u003e1080p30 supportato da 1–2 core CPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDecodifica video\u003c\/td\u003e  \u003ctd\u003e1× 4K60 (H.265); 2× 4K30 (H.265); 5× 1080p60 (H.265); 11× 1080p30 (H.265)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCIe\u003c\/td\u003e  \u003ctd\u003e1 x4 + 3 x1 (PCIe Gen3, porta radice ed endpoint)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3× USB 3.2 Gen2 (10 Gbps); 3× USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNetworking\u003c\/td\u003e  \u003ctd\u003e1× GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDisplay\u003c\/td\u003e  \u003ctd\u003e1× 4K30 multimodale DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAltri I\/O\u003c\/td\u003e  \u003ctd\u003e3× UART, 2× SPI, 2× I2S, 4× I2C, 1× CAN, DMIC \u0026e DSPK, PWM, GPIO\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEnergia\u003c\/td\u003e  \u003ctd\u003e7W – 15W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMeccanico\u003c\/td\u003e  \u003ctd\u003eConnettore SO‑DIMM da 69,6 mm × 45 mm; 260 pin\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eApplicazioni\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eEdge Computing incorporato\u003c\/li\u003e  \u003cli\u003eApplicazioni di intelligenza artificiale\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eCosa è incluso\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eModulo NVIDIA Jetson Orin Nano 8GB ×1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003ePersonalizzazione\u003c\/h2\u003e  \u003cp\u003eIl servizio Seeed Agile ODM offre soluzioni di personalizzazione per produttori e integratori di dispositivi, tra cui adattamenti del fattore di forma, flashing delle immagini e modifiche del logo.\u003c\/p\u003e  \u003ch2\u003eDocumenti\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/module\/Jetson-Orin-Nano-datasheet.pdf\" target=\"_blank\"\u003eScheda tecnica Jetson Orin Nano (PDF)\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eCODICE HS\u003c\/td\u003e  \u003ctd\u003e8517180050\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e8543708800\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCodice UPC\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEUHSCODE\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDirettore operativo\u003c\/td\u003e  \u003ctd\u003eCINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eDettagli\u003c\/h2\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-GEOWG.webp?v=1759677833\" alt=\"NVIDIA Jetson Orin Nano, Custom reComputer with Jetson, interface, logo, and image flashing.\"\u003e\u003c\/p\u003e  \u003cp\u003eReComputer personalizzato con Jetson, interfaccia, logo e immagine lampeggiante.\u003c\/p\u003e  \u003cp\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-Orin-Nano-04N5R.png?v=1759677851\" alt=\"NVIDIA Jetson Orin Nano, Datasheet for Jetson Orin Nano documents ECCN\/HTS information including HS codes and country of origin.\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/UKDOC.png\"\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833533251808,"sku":"206001697","price":899.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/258462_1_1.jpg?v=1759677177"},{"product_id":"nvidia-jetson-agx-orin-module-64gb","title":"NVIDIA JETSON AGX ORIN MODULO 64GB-275 Tops AI, 15W-60W, 2048 Core Ampere GPU, ARM a 12 core Cortex-A78AE","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e  \u003cp\u003eIl modulo NVIDIA Jetson AGX Orin da 64 GB offre fino a 275 TOPS di prestazioni AI con potenza configurabile tra 15 W e 60 W. Offre prestazioni oltre 8 volte superiori a quelle di Jetson AGX Xavier nello stesso formato compatto, ideale per la robotica e altri casi d'uso di macchine autonome.\u003c\/p\u003e  \u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eGPU con architettura NVIDIA Ampere a 2048 core\u003c\/li\u003e  \u003cli\u003e64 core tensoriali\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003eArm Cortex-A78AE v8.2 a 12 core\u003c\/li\u003e  \u003cli\u003eCPU a 64 bit\u003c\/li\u003e  \u003cli\u003eLPDDR5 da 64 GB a 256 bit\u003c\/li\u003e  \u003cli\u003e64 GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eSpecifiche\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003ePrestazioni dell'IA\u003c\/td\u003e  \u003ctd\u003e275 TOP\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eAmpere da 2048 core, con 64 core Tensor\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAcceleratore DL\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eAcceleratore di visione\u003c\/td\u003e  \u003ctd\u003e(2x) Processore VLIW a 7 vie\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eprocessore\u003c\/td\u003e  \u003ctd\u003eArm Cortex-A78AE a 12 core; 3 MB L2 + 6 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMemoria\u003c\/td\u003e  \u003ctd\u003e64 GB 256 bit LPDDR5 a 2133 MHz; 205 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMagazzinaggio\u003c\/td\u003e  \u003ctd\u003eeMMC da 64 GB\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCodifica video\u003c\/td\u003e  \u003ctd\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265) H.264, AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDecodifica video\u003c\/td\u003e  \u003ctd\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 22x 1080p30 (H.265) H.264, VP9, ​​AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eTelecamera\u003c\/td\u003e  \u003ctd\u003eConnettore MIPI CSI-2 a 16 corsie\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMeccanico\u003c\/td\u003e  \u003ctd\u003e100 mm x 87 mm; connettore a 699 pin\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEnergia\u003c\/td\u003e  \u003ctd\u003e15W - 60W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eCosa è incluso\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eModulo NVIDIA Jetson AGX Orin 64 GB x1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eApplicazioni\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eVeicoli autonomi\u003c\/li\u003e  \u003cli\u003eRobot e droni\u003c\/li\u003e  \u003cli\u003eAutomazione industriale e visione artificiale\u003c\/li\u003e  \u003cli\u003eIstruzione e ricerca\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003ePersonalizzazione\u003c\/h2\u003e  \u003cp\u003eSeeed Agile ODM Service offre ai produttori e agli integratori di dispositivi servizi personalizzabili su misura per specifiche esigenze hardware, tra cui fattori di forma, flashing delle immagini e modifica del logo.\u003c\/p\u003e  \u003ch2\u003eDocumenti\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/module\/Jetson-AGX-Orin-Module-Series-Datasheet.pdf\" rel=\"noopener\" target=\"_blank\"\u003eScheda tecnica della serie di moduli Jetson AGX Orin\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eCODICE HS\u003c\/td\u003e  \u003ctd\u003e8543709990\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSHSCODE\u003c\/td\u003e  \u003ctd\u003e8543709860\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCodice UPC\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eEUHSCODE\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eDirettore operativo\u003c\/td\u003e  \u003ctd\u003eCINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833534038240,"sku":"206001694","price":4749.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13701-0040-000-2t_2.jpg?v=1759677465"},{"product_id":"nvidia-jetson-agx-orin-module-32gb","title":"NVIDIA JETSON AGX ORIN MODULO 32GB-200 TOPS AI, Cortex-A78AE a 8 core, GPU AMPERE, 32 GB LPDDR5, 64 GB EMMC, PCIE GEN4","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl modulo NVIDIA Jetson AGX Orin da 32 GB offre fino a 200 TOPS di prestazioni AI con potenza configurabile tra 15 W e 40 W, offrendo prestazioni oltre 6 volte superiori a quelle di Jetson AGX Xavier nello stesso formato compatto per la robotica e altri casi d'uso di macchine autonome.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU con architettura NVIDIA Ampere a 1792 core con 56 core tensor\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003eCPU Arm Cortex-A78AE v8.2 a 8 core a 64 bit\u003c\/li\u003e  \u003cli\u003eMemoria ad alta velocità: 32 GB LPDDR5 a 256 bit\u003c\/li\u003e  \u003cli\u003eAmpia capacità di archiviazione: 64 GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003ePrestazioni dell'IA\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e200 TOPS (Sp) |100 TOPS (De)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eGPU NVIDIA Ampere da 1792 core con 56 core Tensor\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eAcceleratore DL\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e2x NVDLA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eAcceleratore di visione\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eprocessore\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eCPU NVIDIA Arm Cortex A78AE v8.2 a 8 core a 64 bit; 2 MB L2 + 4 MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e32 GB 256 bit LPDDR5 a 3200 MHz 204,8 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMagazzinaggio\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e64 GB eMMC 5.1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eCodifica video\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265); H.264, AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eDecodifica video\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60 | 18x 1080p30 (H.265); H.264, VP9, ​​AV1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eTelecamera\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e16 corsie MIPI CSI-2 (16 canali virtuali*) D-PHY 2.1 40 Gbps\/C-PHY 2.0 164 Gbps\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003ePCI Express\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e22 corsie PCIe Gen 4; fino a 2 x8, 1 x4, 2 x1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1 Gbe RGMII | 4x 10Gbe XFI\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMeccanico\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e100 mm x 87 mm; connettore a 699 pin\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eEnergia\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eDa 15 W a 40 W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eCODICE HS\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709990\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eUSHSCODE\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709860\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eEUHSCODE\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8543709099\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eDirettore operativo\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eCINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eCodice UPC\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eModulo NVIDIA Jetson AGX Orin 32 GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eApplicazioni\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eVeicoli autonomi\u003c\/li\u003e  \u003cli\u003eRobot e droni\u003c\/li\u003e  \u003cli\u003eAutomazione industriale e visione artificiale\u003c\/li\u003e  \u003cli\u003eIstruzione e ricerca\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"NVIDIA Jetson AGX Orin Module, Custom reComputer with NVIDIA Jetson, featuring interface design, logo integration, and image flashing for optimized performance and branding.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/NVIDIA-Jetson-AGX-Orin-Module-CM48Q.webp?v=1759678550\"\u003e\u003cp\u003eReComputer personalizzato con NVIDIA Jetson, interfaccia, logo e immagini lampeggianti.\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":47833553010912,"sku":"206001693","price":1949.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/900-13701-0040-000-2t_1_1.jpg?v=1759678174"},{"product_id":"raspberry-pi-compute-module-4-8gb-ram-32gb-emmc-2-4-5-0ghz-wi-fi-bluetooth-5-0-cm4108032","title":"Raspberry Pi Compute Module 4 (CM4108032), 8GB LPDDR4, 32GB eMMC, Doppio Display 4K, Wi‑Fi 2.4\/5GHz \u0026 BT 5.0","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/raspberry-pi\" title=\"Raspberry Pi\"\u003eIl Raspberry Pi\u003c\/a\u003e Compute Module 4 (CM4108032) è un modulo di calcolo embedded compatto che presenta un processore quad-core a 64 bit, 8GB di RAM LPDDR4, 32GB di memoria eMMC, supporto per doppio display 4K, decodifica video hardware fino a 4Kp60, PHY Ethernet Gigabit, USB 2.0, interfacce per doppia fotocamera, PCIe Gen 2 x1 e LAN wireless dual-band 2.4\/5.0GHz con Bluetooth 5.0. Le funzioni wireless hanno certificazione di conformità modulare e supportano sia l'antenna integrata che un kit di antenna esterna.\u003c\/p\u003e\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/myAAn-XiG-0\" width=\"560\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eProcessore quad-core Cortex A72 ad alte prestazioni a 64 bit\u003c\/li\u003e\n\u003cli\u003eMaggiore opzioni di memoria (1GB\/2GB\/4GB\/8GB), adatto per la compilazione di grandi dati\u003c\/li\u003e\n\u003cli\u003eSupporto per doppio display (HDMI) a risoluzioni fino a 4K\u003c\/li\u003e\n\u003cli\u003eFlash eMMC più veloce con una velocità di trasferimento fino a 100 MB\/s, 4 volte più veloce rispetto a CM3+\u003c\/li\u003e\n\u003cli\u003eOpzione di modulo wireless aggiuntivo con antenna PCB integrata e antenna esterna per applicazioni industriali\u003c\/li\u003e\n\u003cli\u003eProgettato con connettori B to B per una maggiore stabilità\u003c\/li\u003e\n\u003cli\u003eAggiunta di design Ethernet Gigabit on-board, supporto IEEE1588, adatto per lo sviluppo di applicazioni di rete\u003c\/li\u003e\n\u003cli\u003eAggiunta di espansione interfaccia PCIe, può aggiungere moduli correlati in modo flessibile\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifiche\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eSpecifiche\u003c\/th\u003e\n\u003cth\u003eDettagli\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessore\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom BCM2711 quad-core Cortex-A72 (ARM v8) SoC a 64 bit @ 1.5GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchiviazione\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eConnettività\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual-band 2.4GHz e 5.0GHz IEEE 802.11b\/g\/n\/ac wireless LAN; Bluetooth 5.0, BLE; opzioni di antenna integrate ed esterne\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eOnboard Gigabit Ethernet PHY che supporta IEEE1588\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 2.0 interfaccia\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia PCIe Gen 2 x1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e28 segnali GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia per scheda SD per scheda SD o eMMC esterno\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia HDMI duale (fino a 4Kp60 supportato)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia display MIPI DSI a 2 corsie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia fotocamera MIPI CSI a 2 corsie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia display MIPI DSI a 4 corsie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eInterfaccia fotocamera MIPI CSI a 4 corsie\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMultimedia\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eH.265 (decodifica 4Kp60); H.264 (decodifica 1080p60, codifica 1080p30); OpenGL ES 3.0 grafica\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePotenza in ingresso\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTemperatura di funzionamento\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0 a +80°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensioni\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e55 mm × 40 mm; 4 × M2.5 fori di montaggio (tutte le dimensioni in mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDurata di produzione\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIl Raspberry Pi Compute Module 4 rimarrà in produzione fino almeno a gennaio 2028\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eConformità\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePer un elenco completo delle approvazioni, visita: www.raspberrypi.org\/documentation\/hardware\/raspberrypi\/conformity.md\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCodice HS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8473309000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCodice HS USA\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8473309100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCodice HS UE\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8473302000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePaese di origine\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eREGNO UNITO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003ePanoramica hardware\u003c\/h2\u003e\n\u003cp\u003e\u003cimg alt=\"Raspberry Pi CM4 Computer, Hardware overview\" height=\"auto\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-CM4-Computer-g3CPX.webp?v=1760241072\" width=\"700\"\u003e\u003c\/p\u003e\n\u003ch2\u003eRiferimento selezione modello\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eModello\u003c\/th\u003e\n\u003cth\u003eWireless\u003c\/th\u003e\n\u003cth\u003eRAM\u003c\/th\u003e\n\u003cth\u003eMemoria eMMC\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCM4\u003c\/td\u003e\u003ctd\u003e1 = Sì; 0 = No\u003c\/td\u003e\n\u003ctd\u003e01 = 1GB; 02 = 2GB; 04 = 4GB; 08 = 8GB\u003c\/td\u003e\n\u003ctd\u003e000 = Nessuno (Lite); 008 = 8GB; 016 = 16GB; 032 = 32GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eDimensioni\u003c\/h2\u003e\n\u003cp\u003e\u003cimg alt=\"Raspberry Pi CM4 Computer, Raspberry Pi CM4 features BCM2711 SOC, UFL connector, wireless cutout, pin layout, and compact design with labeled components and precise measurements.\" height=\"auto\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-CM4-Computer-J8rUT.webp?v=1760241096\" width=\"400\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"tips\"\u003e\n\u003cdiv class=\"right-desc\"\u003e\n\u003cp\u003eNota\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4 × M2.5 fori negli angoli\u003c\/li\u003e\n\u003cli\u003eTutte le dimensioni sono in mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eCosa è incluso\u003c\/h2\u003e\n\u003cp\u003e1 × Raspberry Pi Compute Module 4 - 8GB RAM, 32GB eMMC, Wi‑Fi 2.4\/5.0GHz \u0026e Bluetooth 5.0\u003c\/p\u003e\n\u003ch2\u003eManuali \u0026e Documenti\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/static.raspberrypi.org\/files\/product-briefs\/2010016+Product+Brief+RPi+CM4.pdf\" target=\"_blank\"\u003eRaspberry Pi Compute Module 4 scheda informativa\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"http:\/\/datasheets.raspberrypi.org\/cm4\/cm4-datasheet.pdf\" target=\"_blank\"\u003eRaspberry Pi Compute Module 4 scheda tecnica\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.org\/cm4\/CM4-step.zip\" target=\"_blank\"\u003eFile STEP del Compute Module 4\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eDettagli\u003c\/h2\u003e\n\u003cp\u003e\u003cimg alt=\"Raspberry Pi CM4 Computer, Raspberry Pi 4 Compute Module features SoC, 1–8GB RAM, 0–16GB eMMC, Gigabit Ethernet, wireless, and supports external and onboard antennas.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-CM4-Computer-evMxf.webp?v=1760241135\"\u003e\u003c\/p\u003e\n\u003cp\u003eIl Raspberry Pi 4 Compute Module include SoC, 1–8GB di RAM, 0–16GB di eMMC, Ethernet Gigabit, connettività wireless e supporta antenne esterne e onboard.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"Raspberry Pi CM4 Computer, The Raspberry Pi CM4 features a BCM2711 SoC, UFL connector, wireless cutout, and detailed pin layouts with precise measurements.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-CM4-Computer-FwCSl.webp?v=1760241159\"\u003e\u003c\/p\u003e\n\u003cp\u003eLa scheda Raspberry Pi CM4 presenta SOC 2711, connettore UFL, ritaglio wireless e configurazioni di pin dettagliate con misurazioni.\u003c\/p\u003e\n\u003cp\u003e\u003cimg alt=\"Raspberry Pi CM4 Computer, Wireless functions are certified for modular compliance and support both onboard and external antennas.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-CM4-Computer-qdKNP.png?v=1760241175\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/EUDOC.png\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/certification\/FCC.png\"\u003e\u003cimg alt=\"Raspberry Pi CM4 Computer, Wireless functions are certified and support either onboard or external antennas.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-CM4-Computer-qj6RT.png?v=1760241193\"\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":47866481082592,"sku":"102991441","price":319.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/102991421_front-05_2_1.webp?v=1760240172"},{"product_id":"raspberry-pi-compute-module-5-8gb-ram-16gb-emmc-2-4-5-0ghz-wi-fi-bluetooth-5-0-cm5108016","title":"Raspberry Pi Compute Module 5 CM5108016 – 8GB, 16GB eMMC, Wi‑Fi\/Bluetooth 5.0 2.4\/5GHz, HDMI doppio 4K","description":"\u003ch2\u003ePanoramica\u003c\/h2\u003e\u003cp\u003eIl Raspberry Pi Compute Module 5 (CM5108016) è un sistema su modulo che porta le prestazioni del Raspberry Pi 5 nei progetti embedded. Questa variante integra un SoC Broadcom BCM2712 quad-core 64 bit Arm Cortex-A76 (Armv8) @ 2.4GHz, 8GB LPDDR4, 16GB eMMC, uscita dual 4Kp60 HDMI, decodifica video hardware fino a 4Kp60, Ethernet Gigabit, Wi-Fi 2.4\/5.0GHz \u0026e Bluetooth 5.0, USB 3.0, interfacce per doppia fotocamera e un'interfaccia PCIe Gen 2 x1.\u003c\/p\u003e\u003ch2\u003eCaratteristiche principali\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eCPU Broadcom BCM2712 quad-core 64 bit Arm Cortex-A76 @ 2.4GHz\u003c\/li\u003e\n\u003cli\u003e8GB LPDDR4 e 16GB di storage eMMC on-module\u003c\/li\u003e\n\u003cli\u003eUscita dual 4Kp60 HDMI 2.0; decodifica hardware HEVC fino a 4Kp60\u003c\/li\u003e\n\u003cli\u003eWi-Fi e Bluetooth 5.0 (BLE) integrati 2.4\/5.0GHz IEEE 802.11 b\/g\/n\/ac\u003c\/li\u003e\n\u003cli\u003eInterruttore elettronico a bordo per selezionare il tracciato PCB o l'antenna esterna\u003c\/li\u003e\n\u003cli\u003ePHY Ethernet Gigabit a bordo con supporto IEEE 1588\u003c\/li\u003e\n\u003cli\u003ePCIe Gen 2 (5Gbps) x1 root complex e USB 3.html\n0\u003c\/li\u003e\n\u003cli\u003eDue porte MIPI a 4 corsie che supportano DSI e CSI‑2\u003c\/li\u003e\n\u003cli\u003eFino a 30 GPIO (1.8V o 3.3V) con UART, I2C, SPI, SDIO, DPI, I2S, PWM, GPCLK\u003c\/li\u003e\n\u003cli\u003eProgettato con connettori board‑to‑board (B2B)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifiche\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessore\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom BCM2712 quad‑core 64‑bit Arm Cortex‑A76 (Armv8) SoC @ 2.4GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eArchiviazione\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eConnettività\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eWireless IEEE 802.11 b\/g\/n\/ac a 2.4GHz \/ 5.0GHz; Bluetooth 5.0, BLE; interruttore elettronico a bordo per traccia PCB o antenna esterna\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003ePHY Ethernet Gigabit a bordo che supporta IEEE1588\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 2.0 (alta velocità); 2 × USB 3.\n0 (simultaneo 5Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × complesso radice PCIe x1, Gen 2 (5Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eFino a 30 × GPIO (1.8V o 3.3V) con: fino a 5 × UART, 5 × I2C, 5 × SPI, 1 × SDIO, 1 × DPI, 1 × I2S, fino a 4 × PWM, fino a 3 × GPCLK\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × porte HDMI 2.0 (fino a 4Kp60 su entrambe simultaneamente)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × porte MIPI a 4 corsie per DSI (display) e CSI‑2 (camera)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMultimedia\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDecoder HEVC 4Kp60; OpenGL ES 3.1; Vulkan 1.2; 1 × SDIO 2.0 (CM5 Lite)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003ePotenza in ingresso\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIngresso PSU singolo +5V supporta USB PD fino a 5A @ 5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eTemperatura di funzionamento\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20°C a +85°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMTBF (Terra Benigna)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e143 000 ore (168 000 ore CM5 Lite)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDimensioni\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e55 mm × 40 mm x 4.7 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDurata di produzione\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIn produzione fino almeno a gennaio 2036\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eConformità\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003ePer approvazioni locali e regionali, vedere pip.raspberrypi.com\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eRiferimento selezione modello\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eModello\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eWireless\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cstrong\u003eMemoria eMMC\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCM5\u003c\/td\u003e\n\u003ctd\u003e1 = Sì; 0 = No\u003c\/td\u003e\n\u003ctd\u003e01 = 1GB; 02 = 2GB; 04 = 4GB; 08 = 8GB; 16 = 16GB\u003c\/td\u003e\n\u003ctd\u003e000 = Nessuno (Lite); 008 = 8GB; 016 = 16GB; 032 = 32GB; 064 = 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003ePanoramica hardware\u003c\/h2\u003e\u003cp\u003eIl fattore di forma e il layout del connettore corrispondono allo standard CM5 per l'integrazione della scheda portante. Vedere il disegno dimensionale solo a scopo di riferimento (tutte le dimensioni in mm; soggette a tolleranze e modifiche).\u003c\/p\u003e\u003ch2\u003eDocumenti\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 scheda informativa\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5-datasheet.pdf\" target=\"_blank\"\u003eRaspberry Pi Compute Module 5 scheda tecnica\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/pip.raspberrypi.com\/categories\/1096-design-files\" target=\"_blank\"\u003eFile di design del Raspberry Pi Compute Module 5\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\u003e8473309000\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\u003eEUHSCODE\u003c\/td\u003e\n\u003ctd\u003e8473308000\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\u003eCosa è incluso\u003c\/h2\u003e\u003cul\u003e\u003cli\u003e1 × \u003ca href=\"https:\/\/rcdrone.top\/collections\/raspberry-pi\" title=\"Raspberry Pi\"\u003eRaspberry Pi\u003c\/a\u003e Compute Module 5 – 8GB RAM, 16GB eMMC, Wi‑Fi 2.4\/5.0GHz \u0026e Bluetooth 5.0\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eDettagli\u003c\/h2\u003e\u003cimg alt=\"Raspberry Pi Compute Module 5, Broadcom BCM2712 quad-core Arm Cortex-A76 CPU, 8GB RAM, 16GB eMMC storage, and various connectivity options.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-Compute-Module-5-cAPmK.webp?v=1760242181\"\u003e\u003cimg alt=\"Raspberry Pi Compute Module 5 features BCM2712 CPU, 2–16GB RAM, up to 64GB eMMC, Gigabit Ethernet, wireless, antenna connector, with visible I\/O and memory on both sides.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-Compute-Module-5-KySUl.webp?v=1760242214\"\u003e\u003cp\u003eIl Raspberry Pi Compute Module 5 ha una CPU Broadcom BCM2712, 2GB–16GB di RAM, fino a 64GB di eMMC, Gigabit Ethernet, modulo wireless, connettore per antenna esterna e controller I\/O e memoria visibili sopra e sotto.\u003c\/p\u003e\u003cimg alt=\"The Raspberry Pi Compute Module 5 measures 55mm x 40mm, featuring mounting holes and cutouts for connectors and components.\" src=\"https:\/\/rcdrone.top\/cdn\/shop\/files\/Raspberry-Pi-Compute-Module-5-Sn8KX.webp?v=1760242234\"\u003e\u003cp\u003eDimensioni del Raspberry Pi Compute Module 5: 55mm x 40mm, con fori di montaggio e ritagli per connettori e componenti.\u003c\/p\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":47866493075680,"sku":"102111081","price":339.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0643\/3210\/3904\/files\/1_80_16.webp?v=1760241467"}],"url":"https:\/\/rcdrone.top\/it\/collections\/compute-modules.oembed","provider":"RCDrone","version":"1.0","type":"link"}