{"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":"Bodi ya Maendeleo ya NVIDIA Jetson Orin NX 16GB AI, vijiti 100, 8 - ni msingi wa CPU, 16GB LPDDR5, PCIE Gen4, 10-25W, 69.6 × 45mm","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eBodi ya Ukuzaji ya AI ya NVIDIA Jetson Orin NX Moduli ya 16GB hutoa hadi TOPS 100 za utendaji wa AI katika kigezo kidogo zaidi cha aina ya Jetson, chenye nguvu ya kusanidi kati ya 10W na 25W. Inatoa takriban 3× utendakazi wa NVIDIA Jetson AGX Xavier na 5× ile ya NVIDIA Jetson Xavier NX, na kuifanya kufaa kwa mifumo thabiti ya AI yenye makali ya chini kama vile ndege zisizo na rubani, roboti, vishikio vya mkono na vifaa vya kuona vya kompyuta vilivyopachikwa.\u003c\/p\u003e\u003ch2\u003eSifa Muhimu\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU ya usanifu wa NVIDIA Ampere ya 1024‑msingi yenye 32 Tensor Cores\u003c\/li\u003e  \u003cli\u003eViongeza kasi vya kujifunza kwa kina vya NVDLA v2.0 na PVA v2.0\u003c\/li\u003e  \u003cli\u003eCPU ya 8‑core Arm Cortex-A78AE v8.2 64‑bit\u003c\/li\u003e  \u003cli\u003e16GB 128-bit LPDDR5, 102.4 GB\/s kipimo data\u003c\/li\u003e  \u003cli\u003eNjia za nguvu: 10W\/15W\/25W\u003c\/li\u003e  \u003cli\u003eI\/O ya kasi ya juu ikijumuisha violesura vya kamera vya PCIe Gen4 na MIPI CSI‑2\u003c\/li\u003e  \u003cli\u003eSimbua\/simbue video ya maunzi hadi 8K\/4K kwa uelekezaji wa mipasho mingi ukingoni\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eUtendaji wa AI\u003c\/td\u003e  \u003ctd\u003e100 TOP\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003e1024‑msingi NVIDIA Ampere, 32 Tensor Cores\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKiongeza kasi cha DL\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKiongeza kasi cha Maono\u003c\/td\u003e  \u003ctd\u003ePVA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e8‑core Arm Cortex-A78AE; 2MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKumbukumbu\u003c\/td\u003e  \u003ctd\u003e16GB 128‑bit LPDDR5 @ 2133 MHz; 102.4 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHifadhi\u003c\/td\u003e  \u003ctd\u003eInasaidia NVMe ya nje\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUsimbaji wa 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\u003eMsimbo wa 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\u003eKamera\u003c\/td\u003e  \u003ctd\u003eHadi kamera 4 (8 kupitia chaneli pepe*); Njia 8 za MIPI CSI‑2; D-PHY 1.2 (Gbps 20)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003ePCI Express\u003c\/td\u003e  \u003ctd\u003e3 x1 + 1 (x4 PCIe Mwanzo 4)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMitambo\u003c\/td\u003e  \u003ctd\u003e69.6mm x 45mm; Kiunganishi cha pini 260\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNguvu\u003c\/td\u003e  \u003ctd\u003e10W\/15W\/25W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini Pamoja\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin NX Moduli ya GB 16 x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eMagari yanayojiendesha na roboti za rununu\u003c\/li\u003e  \u003cli\u003eUchanganuzi wa drones na UAV\u003c\/li\u003e  \u003cli\u003eOtomatiki ya viwanda na ukaguzi\u003c\/li\u003e  \u003cli\u003eTaswira ya kimatibabu na vifaa mahiri vya utunzaji wa afya\u003c\/li\u003e  \u003cli\u003eSmart rejareja na makali AI inference\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eMaelezo\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\u003eKompyuta ya Usanifu Maalum iliyo na NVIDIA Jetson, Kiolesura, Nembo, Chaguo za Picha\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":"Bodi ya Maendeleo ya Nvidia Jetson Orin NX 8GB AI, 70 tops Ampere GPU, 6-msingi Arm Cortex-A78AE, LPDDR5, 10W-20W","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eBodi hii ya Ukuzaji ya AI hutumia 8GB ya NVIDIA Jetson Orin NX Moduli ili kuwasilisha hadi TOPS 70 za utendaji wa AI katika kipengee kidogo zaidi cha umbo la Jetson, chenye nguvu ya kusanidi kati ya 10W - 20W. Inatoa zaidi ya 2X utendakazi wa NVIDIA Jetson AGX Xavier na 3X utendakazi wa NVIDIA Jetson Xavier NX, na kuifanya kufaa kwa mifumo thabiti, yenye nishati ya chini kama vile drones na vifaa vya kushika mkono. Pia hutoa utendakazi wa 5X na mara mbili ya viini vya NVIDIA CUDA vya kizazi cha mwisho, na usaidizi wa kiolesura cha kasi cha juu kwa vitambuzi vingi.\u003c\/p\u003e\u003ch2\u003eSifa Muhimu\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU ya usanifu ya NVIDIA Ampere yenye cores 1024 NVIDIA CUDA na 32 Tensor cores\u003c\/li\u003e  \u003cli\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/li\u003e  \u003cli\u003e1x NVDLA v2.0 kiongeza kasi cha kujifunza kwa kina\u003c\/li\u003e  \u003cli\u003eKiongeza kasi cha maono cha PVA v2.0\u003c\/li\u003e  \u003cli\u003eKumbukumbu ya 8GB 128-bit LPDDR5 (102.4 GB\/s)\u003c\/li\u003e  \u003cli\u003eInasaidia NVMe ya nje kupitia PCIe\u003c\/li\u003e  \u003cli\u003eNguvu inayoweza kusanidiwa: 10W - 20W\u003c\/li\u003e  \u003cli\u003eMitambo: 45 mm x 69.6 mm; Pini 260 kiunganishi cha SO-DIMM\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eUsanifu wa NVIDIA Ampere na cores 1024 NVIDIA CUDA; 32 Cores za kizio\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU; 1.5MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKiongeza kasi cha DL\u003c\/td\u003e  \u003ctd\u003e1x NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKiongeza kasi cha Maono\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKumbukumbu\u003c\/td\u003e  \u003ctd\u003e8GB 128-bit LPDDR5, 102.4 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHifadhi\u003c\/td\u003e  \u003ctd\u003eInasaidia NVMe ya nje kupitia PCIe\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNguvu\u003c\/td\u003e  \u003ctd\u003e10W - 20W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMitambo\u003c\/td\u003e  \u003ctd\u003e45 mm x 69.6 mm; Pini 260 kiunganishi cha SO-DIMM\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini Pamoja\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin NX Moduli ya 8GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eMagari ya Kujiendesha\u003c\/li\u003e  \u003cli\u003eDrones na Roboti\u003c\/li\u003e  \u003cli\u003eViwanda Automation\u003c\/li\u003e  \u003cli\u003ePicha za Matibabu\u003c\/li\u003e  \u003cli\u003eSmart Retail\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eKubinafsisha\u003c\/h2\u003e\u003cp\u003eHuduma ya Seeed Agile ODM inasaidia mahitaji ya maunzi yaliyolengwa ikiwa ni pamoja na vipengele vya fomu, mwanga wa picha na mabadiliko ya nembo. \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2023\/05\/10\/custom-design-your-own-recomputer-powered-by-nvidia-jetson\/\" rel=\"noopener\" target=\"_blank\"\u003eJifunze zaidi\u003c\/a\u003e.\u003c\/p\u003e\u003ch2\u003eNyaraka\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\"\u003ejetson-orin-nx-data\u003c\/a\u003e\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eECCN\/HTS\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHSCODE\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\u003eCOO\u003c\/td\u003e  \u003ctd\u003eCHINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMaelezo\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\u003eKompyuta ya Usanifu Maalum iliyo na NVIDIA Jetson, Kiolesura, Nembo, Chaguo za Picha\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":"Bodi ya Maendeleo ya Nvidia Jetson Orin Nano Module 4GB AI, Vijiti 20, Ampere GPU, 6-msingi Arm A78AE, LPDDR5, PCIE, CSI-2","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson Orin Nano Moduli 4GB ni moduli ya Bodi ya Ukuzaji ya AI ambayo hutoa hadi TOPS 20 za utendaji wa AI katika kipengele kidogo cha umbo la Jetson. Inatoa nishati inayoweza kusanidiwa kutoka 5W hadi 10W, ikitoa hadi 40X utendakazi wa NVIDIA Jetson Nano kwa AI ya kiwango cha kuingia. Maelezo pia yanabainisha chaguzi za nguvu kati ya 5W na 15W na alama ya miguu inayolingana na Jetson Nano asili.\u003c\/p\u003e\u003ch2\u003eSifa Muhimu\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU ya usanifu wa NVIDIA Ampere yenye 512-msingi yenye 16 Tensor Cores\u003c\/li\u003e  \u003cli\u003eCPU ya 6-core Arm Cortex-A78AE v8.2 64-bit (1.5MB L2 + 4MB L3)\u003c\/li\u003e  \u003cli\u003e4GB 64-bit LPDDR5 (34GB\/s)\u003c\/li\u003e  \u003cli\u003eInaauni hifadhi ya nje ya NVMe\u003c\/li\u003e  \u003cli\u003eHadi kamera 4 (8 kupitia chaneli pepe*) juu ya njia 8 za MIPI CSI-2, D-PHY 2.1 (hadi 20Gbps)\u003c\/li\u003e  \u003cli\u003eVideo: encode 1080p30 (kwa 1-2 CPU cores); simbua hadi 1x 4K60\/2x 4K30\/5x 1080p60\/11x 1080p30 (H.265)\u003c\/li\u003e  \u003cli\u003eMuunganisho na I\/O: PCIe Gen3, USB 3.2 Gen2, USB 2.0, GbE, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/li\u003e  \u003cli\u003eOnyesho: DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4 (hadi 4K30)\u003c\/li\u003e  \u003cli\u003eSehemu iliyobana: 69.6mm x 45mm, kiunganishi cha SO-DIMM cha pini 260\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eUtendaji wa AI\u003c\/td\u003e  \u003ctd\u003e20 JUU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eGPU ya usanifu wa NVIDIA Ampere yenye 512-msingi yenye 16 Tensor Cores\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMax GPU Freq.\u003c\/td\u003e  \u003ctd\u003e625MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU Max Freq.\u003c\/td\u003e  \u003ctd\u003eGHz 1.5\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKumbukumbu\u003c\/td\u003e  \u003ctd\u003e4GB 64-bit LPDDR5, 34GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHifadhi\u003c\/td\u003e  \u003ctd\u003eInasaidia NVMe ya nje\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKamera\u003c\/td\u003e  \u003ctd\u003eHadi kamera 4 (8 kupitia chaneli pepe*); Njia 8 za MIPI CSI-2, D-PHY 2.1 (hadi 20Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUsimbaji wa Video\u003c\/td\u003e  \u003ctd\u003e1080p30 inayoauniwa na cores 1–2 za CPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMsimbo wa 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, Root Port na Endpoint)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3x USB 3.2 Gen2 (10Gbps); 3x USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMtandao\u003c\/td\u003e  \u003ctd\u003e1x GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eOnyesho\u003c\/td\u003e  \u003ctd\u003e1x 4K30 hali mbalimbali DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNyingine I\/O\u003c\/td\u003e  \u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNguvu\u003c\/td\u003e  \u003ctd\u003e7W - 10W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKumbuka Nguvu ya Ziada\u003c\/td\u003e  \u003ctd\u003eNguvu inayoweza kusanidiwa kutoka 5W hadi 10W; maelezo pia yanabainisha chaguzi za 5W - 15W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMitambo\u003c\/td\u003e  \u003ctd\u003e69.6mm x 45mm; Kiunganishi cha SO-DIMM cha pini 260\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini Pamoja\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eNVIDIA Jetson Orin Nano Moduli ya 4GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eEmbedded Edge Computing\u003c\/li\u003e  \u003cli\u003eMaombi ya Ujasusi Bandia\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eMaelezo\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\u003eKompyuta ya Usanifu Maalum iliyo na NVIDIA Jetson, Kiolesura, Nembo, Chaguo za Picha\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 Module 8GB - 40 Tops Edge AI, Ampere GPU, 6 - Corex - A78AE, LPDDR5, CSI, PCIE, USB, GBE","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e  \u003cp\u003eNVIDIA® Jetson Orin™ Nano Module 8GB ni moduli ya kukokotoa ya AI inayotoa hadi TOPS 40 katika kigezo kidogo zaidi cha fomu ya Jetson. Nishati inaweza kusanidiwa kutoka 7W hadi 15W, ikitoa hadi 30× utendakazi wa Jetson TX2 NX huku ikihifadhi alama ya awali ya Jetson Nano. Sehemu hii inaunganisha GPU ya usanifu ya NVIDIA Ampere na 6‑msingi Arm Cortex‑A78AE CPU ili kuharakisha robotiki, maono yaliyopachikwa, na makisio makali.\u003c\/p\u003e  \u003ch2\u003eSifa Muhimu\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eGPU ya usanifu wa NVIDIA Ampere ya 1024‑msingi yenye 32 Tensor Cores\u003c\/li\u003e  \u003cli\u003eCPU ya 6-core Arm Cortex-A78AE v8.2 64-bit (1.5MB L2 + 4MB L3), hadi GHz 1.5\u003c\/li\u003e  \u003cli\u003eKumbukumbu ya 8GB 128-bit LPDDR5, kipimo data cha 68GB\/s\u003c\/li\u003e  \u003cli\u003eInaauni hifadhi ya nje ya NVMe\u003c\/li\u003e  \u003cli\u003eKiolesura cha kamera: hadi kamera 4 (8 kupitia chaneli pepe*), 8‑lane MIPI CSI‑2, D-PHY 2.1 hadi 20Gbps\u003c\/li\u003e  \u003cli\u003eVideo: 1080p30 encode (kwa 1-2 CPU cores); simbua hadi 4K60 H.265\u003c\/li\u003e  \u003cli\u003eI\/O: PCIe Gen3 (1 x4 + 3 x1), USB 3.2 Gen2 na USB 2.0, 1x GbE, DP\/eDP\/HDMI ya hali nyingi, UART\/SPI\/I2S\/I2C\/CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/li\u003e  \u003cli\u003eModuli ya 69.6mm × 45mm yenye kiunganishi cha SO‑DIMM cha pini 260\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eVipimo\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eUtendaji wa AI\u003c\/td\u003e  \u003ctd\u003e40 JUU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eGPU ya usanifu wa NVIDIA Ampere ya 1024‑msingi yenye 32 Tensor Cores\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMax GPU Freq.\u003c\/td\u003e  \u003ctd\u003e625MHz\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003eCPU ya 6‑core Arm Cortex-A78AE v8.2 64‑bit; 1.5MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU Max Freq.\u003c\/td\u003e  \u003ctd\u003eGHz 1.5\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKumbukumbu\u003c\/td\u003e  \u003ctd\u003e8GB 128‑bit LPDDR5; 68GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHifadhi\u003c\/td\u003e  \u003ctd\u003eInasaidia NVMe ya nje\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKamera\u003c\/td\u003e  \u003ctd\u003eHadi kamera 4 (8 kupitia chaneli pepe*); Njia 8 za MIPI CSI‑2; D-PHY 2.1 (hadi 20Gbps)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUsimbaji wa Video\u003c\/td\u003e  \u003ctd\u003e1080p30 inayoauniwa na cores 1–2 za CPU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMsimbo wa 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, Root Port na Endpoint)\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUSB\u003c\/td\u003e  \u003ctd\u003e3× USB 3.2 Gen2 (10Gbps); 3× USB 2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMtandao\u003c\/td\u003e  \u003ctd\u003e1× GbE\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eOnyesho\u003c\/td\u003e  \u003ctd\u003e1× 4K30 hali mbalimbali DP 1.2 (+MST)\/eDP 1.4\/HDMI 1.4\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNyingine I\/O\u003c\/td\u003e  \u003ctd\u003e3× UART, 2× SPI, 2× I2S, 4× I2C, 1× CAN, DMIC \u0026amp; DSPK, PWM, GPIOs\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNguvu\u003c\/td\u003e  \u003ctd\u003e7W - 15W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMitambo\u003c\/td\u003e  \u003ctd\u003e69.6mm × 45mm; Kiunganishi cha SO‑DIMM cha pini 260\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eMaombi\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eEmbedded Edge Computing\u003c\/li\u003e  \u003cli\u003eMaombi ya Ujasusi Bandia\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eNini Pamoja\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eNVIDIA Jetson Orin Nano Moduli 8GB ×1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eKubinafsisha\u003c\/h2\u003e  \u003cp\u003eHuduma ya Seeed Agile ODM inatoa ubinafsishaji kwa viunda na viunganishi vya kifaa, ikijumuisha marekebisho ya kipengele cha fomu, mwanga wa picha na mabadiliko ya nembo.\u003c\/p\u003e  \u003ch2\u003eNyaraka\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\"\u003eKaratasi ya data ya 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\u003eHSCODE\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\u003eUPC\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\u003eCOO\u003c\/td\u003e  \u003ctd\u003eCHINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eMaelezo\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 maalum yenye Jetson, kiolesura, nembo, na mwangaza wa picha.\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 MODULE 64GB-275 TOPS AI, 15W-60W, 2048-msingi Ampere GPU, 12-msingi Arm Cortex-A78AE","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e  \u003cp\u003eNVIDIA Jetson AGX Orin Moduli 64GB hutoa hadi TOPS 275 za utendakazi wa AI na nishati inayoweza kusanidiwa kati ya 15W na 60W. Inatoa zaidi ya 8X utendakazi wa Jetson AGX Xavier katika hali ya umbo la kompakt sawa kwa robotiki na matukio mengine ya matumizi ya mashine zinazojiendesha.\u003c\/p\u003e  \u003ch2\u003eSifa Muhimu\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eGPU ya usanifu wa NVIDIA Ampere ya 2048-msingi\u003c\/li\u003e  \u003cli\u003e64 Viini vya Tensor\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003e12-core Arm Cortex-A78AE v8.2\u003c\/li\u003e  \u003cli\u003eCPU ya biti 64\u003c\/li\u003e  \u003cli\u003e64GB 256-bit LPDDR5\u003c\/li\u003e  \u003cli\u003e64GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eVipimo\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eUtendaji wa AI\u003c\/td\u003e  \u003ctd\u003e275 JUU\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eGPU\u003c\/td\u003e  \u003ctd\u003eAmpere ya 2048-msingi, yenye Cores 64 za Tensor\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKiongeza kasi cha DL\u003c\/td\u003e  \u003ctd\u003e(2x) NVDLA v2.0\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKiongeza kasi cha Maono\u003c\/td\u003e  \u003ctd\u003e(2x) Kichakataji cha VLIW cha njia 7\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eCPU\u003c\/td\u003e  \u003ctd\u003e12-msingi Arm Cortex-A78AE; 3MB L2 + 6MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eKumbukumbu\u003c\/td\u003e  \u003ctd\u003e64GB 256-bit LPDDR5 @ 2133MHz; 205 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eHifadhi\u003c\/td\u003e  \u003ctd\u003e64GB eMMC\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eUsimbaji wa 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\u003eMsimbo wa 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\u003eKamera\u003c\/td\u003e  \u003ctd\u003eKiunganishi cha njia 16 cha MIPI CSI-2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eMitambo\u003c\/td\u003e  \u003ctd\u003e100mm x 87mm; Kiunganishi cha pini 699\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003eNguvu\u003c\/td\u003e  \u003ctd\u003e15W - 60W\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e  \u003c\/table\u003e  \u003ch2\u003eNini Pamoja\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eNVIDIA Jetson AGX Orin Moduli ya 64GB x1\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eMaombi\u003c\/h2\u003e  \u003cul\u003e  \u003cli\u003eMagari ya Kujiendesha\u003c\/li\u003e  \u003cli\u003eRoboti na Drones\u003c\/li\u003e  \u003cli\u003eOtomatiki ya Viwanda na Dira ya Mashine\u003c\/li\u003e  \u003cli\u003eElimu na Utafiti\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eKubinafsisha\u003c\/h2\u003e  \u003cp\u003eHuduma ya Seeed Agile ODM huwezesha viunda na viunganishi vya kifaa kwa huduma zinazoweza kugeuzwa kukufaa zinazolingana na mahitaji mahususi ya maunzi, ikiwa ni pamoja na vipengele vya fomu, mwangaza wa picha na mabadiliko ya nembo.\u003c\/p\u003e  \u003ch2\u003eNyaraka\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\"\u003eJetson AGX Orin Mfululizo wa Moduli Datasheet\u003c\/a\u003e\u003c\/li\u003e  \u003c\/ul\u003e  \u003ch2\u003eECCN\/HTS\u003c\/h2\u003e  \u003ctable\u003e  \u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003eHSCODE\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\u003eUPC\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\u003eCOO\u003c\/td\u003e  \u003ctd\u003eCHINA\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 Module 32GB-200 TOPS AI, 8-msingi Cortex-A78AE, Ampere GPU, 32GB LPDDR5, 64GB EMMC, PCIE Gen4","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\u003cp\u003eNVIDIA Jetson AGX Orin Moduli ya 32GB hutoa hadi TOPS 200 za utendakazi wa AI kwa nguvu zinazoweza kusanidiwa kati ya 15W na 40W, ikitoa zaidi ya 6X utendakazi wa Jetson AGX Xavier katika kipengele cha upatanishi sawa cha robotiki na matukio mengine ya matumizi ya mashine zinazojiendesha.\u003c\/p\u003e\u003ch2\u003eSifa Muhimu\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eGPU ya usanifu wa NVIDIA Ampere ya 1792-msingi yenye cores 56 za tensor\u003c\/li\u003e  \u003cli\u003e2x NVDLA v2.0\u003c\/li\u003e  \u003cli\u003e8-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/li\u003e  \u003cli\u003eKumbukumbu ya Kasi ya Juu: 32GB 256-bit LPDDR5\u003c\/li\u003e  \u003cli\u003eHifadhi Kubwa: 64GB eMMC 5.1\u003c\/li\u003e  \u003cli\u003ePVA v2.0\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eVipimo\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eUtendaji wa AI\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\u003eNVIDIA Ampere GPU ya 1792-msingi yenye Cores 56 za Tensor\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eKiongeza kasi cha DL\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e2x NVDLA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eKiongeza kasi cha Maono\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003ePVA v2\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e8-msingi NVIDIA Arm Cortex A78AE v8.2 64-bit CPU; 2MB L2 + 4MB L3\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eKumbukumbu\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eGB 32 256-bit LPDDR5 @ 3200MHz 204.8 GB\/s\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eHifadhi\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eGB 64 eMMC 5.1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eUsimbaji wa 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\u003eMsimbo wa 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\u003eKamera\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eNjia 16 MIPI CSI-2 (Njia 16 za Mtandaoni*) D-PHY 2.1 40Gbps\/C-PHY 2.0 164Gbps\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003ePCI Express\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eNjia 22 za PCIe Mwa 4; Hadi 2 x8, 1 x4, 2 x1\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eEthaneti\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e1 Gbe RGMII | 4x 10Gbe XFI\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eMitambo\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e100mm x 87mm; Kiunganishi cha pini 699\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eNguvu\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e15W hadi 40W\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eHSCODE\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\u003eCOO\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003eCHINA\u003c\/td\u003e  \u003c\/tr\u003e  \u003ctr\u003e  \u003ctd\u003e\u003cstrong\u003eUPC\u003c\/strong\u003e\u003c\/td\u003e  \u003ctd\u003e\u003c\/td\u003e  \u003c\/tr\u003e  \u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini Pamoja\u003c\/h2\u003e\u003cul\u003e\u003cli\u003eModuli ya NVIDIA Jetson AGX Orin 32GB x1\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaombi\u003c\/h2\u003e\u003cul\u003e  \u003cli\u003eMagari ya Kujiendesha\u003c\/li\u003e  \u003cli\u003eRoboti na Drones\u003c\/li\u003e  \u003cli\u003eOtomatiki ya Viwanda na Dira ya Mashine\u003c\/li\u003e  \u003cli\u003eElimu na Utafiti\u003c\/li\u003e  \u003c\/ul\u003e\u003ch2\u003eMaelezo\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\u003eKompyuta upya Maalum yenye NVIDIA Jetson, kiolesura, nembo, na kung'aa kwa picha.\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, Onyesho Mbili za 4K, Wi‑Fi 2.4\/5GHz \u0026 BT 5.0","description":"\u003ch2\u003eMuhtasari\u003c\/h2\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/rcdrone.top\/collections\/raspberry-pi\" title=\"Raspberry Pi\"\u003eRaspberry Pi\u003c\/a\u003e Compute Module 4 (CM4108032) ni moduli ya kompyuta iliyojumuishwa yenye ukubwa mdogo inayoonyesha processor ya quad-core ya 64-bit, 8GB LPDDR4 RAM, uhifadhi wa 32GB eMMC, msaada wa onyesho la 4K mara mbili, uhamasishaji wa video wa vifaa hadi 4Kp60, Gigabit Ethernet PHY, USB 2.0, interfaces za kamera mbili, PCIe Gen 2 x1, na LAN isiyo na waya ya bendi mbili 2.4\/5.0GHz yenye Bluetooth 5.0. Kazi za wireless zina cheti cha utii wa moduli na zinasaidia ama antenna iliyojumuishwa au kit la antenna ya nje.\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\u003eVipengele Muhimu\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eProcessor ya Cortex A72 yenye nguvu ya juu ya 64-bit Quad-core\u003c\/li\u003e\n\u003cli\u003eChaguzi zaidi za kumbukumbu (1GB\/2GB\/4GB\/8GB), inafaa kwa ukusanyaji wa data kubwa\u003c\/li\u003e\n\u003cli\u003eUsaidizi wa kuonyesha mara mbili (HDMI) kwa azimio hadi 4K\u003c\/li\u003e\n\u003cli\u003eFlash ya eMMC yenye kasi zaidi ikiwa na kiwango cha uhamishaji hadi 100 MB\/s, mara 4 haraka zaidi kuliko CM3+\u003c\/li\u003e\n\u003cli\u003eChaguo la moduli isiyo na waya iliyoongezwa yenye antena ya PCB iliyopo kwenye bodi na antena ya nje kwa matumizi ya viwandani\u003c\/li\u003e\n\u003cli\u003eImetengenezwa kwa viunganishi vya B hadi B kwa ajili ya kuimarisha uthabiti\u003c\/li\u003e\n\u003cli\u003eOngeza muundo wa Ethernet ya Gigabit kwenye bodi, inasaidia IEEE1588, inafaa kwa maendeleo ya matumizi ya mtandao\u003c\/li\u003e\n\u003cli\u003eOngeza upanuzi wa interface ya PCIe, inaweza kuongeza moduli zinazohusiana kwa urahisi\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eMaelezo ya Kiufundi\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eMaelezo ya Kifaa\u003c\/th\u003e\n\u003cth\u003eMaelezo\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eBroadcom BCM2711 quad-core Cortex-A72 (ARM v8) 64-bit SoC @ 1.5GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eKumbukumbu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eHifadhi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMuunganisho\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eDual-band 2.4GHz na 5.0GHz IEEE 802.11b\/g\/n\/ac wireless LAN; Bluetooth 5.0, BLE; chaguo za antena za ndani na za nje\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eOnboard Gigabit Ethernet PHY inayounga mkono IEEE1588\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 2.0 interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003ePCIe Gen 2 x1 interface\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e28 ishara za GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKiunganishi cha kadi ya SD kwa kadi ya SD au eMMC ya nje\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVideo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKiunganishi cha HDMI mara mbili (hadi 4Kp60 inasaidiwa)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKiunganishi cha kuonyesha cha MIPI DSI cha njia 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKiunganishi cha kamera cha MIPI CSI cha njia 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKiunganishi cha kuonyesha cha MIPI DSI cha njia 4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eKiunganishi cha kamera cha MIPI CSI cha njia 4\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 (4Kp60 decode); H.264 (1080p60 decode, 1080p30 encode); OpenGL ES 3.0 graphics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNguvu ya kuingiza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e5V DC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJoto la kufanya kazi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e0 hadi +80°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVipimo\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e55 mm × 40 mm; 4 × M2.5 mashimo ya kufunga (vipimo vyote katika mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMaisha ya uzalishaji\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eModuli ya Hesabu ya Raspberry Pi 4 itaendelea kutengenezwa hadi angalau Januari 2028\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUzingatiaji\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKwa orodha kamili ya idhini, tembelea: www.raspberrypi.org\/documentation\/hardware\/raspberrypi\/conformity.md\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMSHA Code\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8473309000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMSHA Code ya Marekani\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8473309100\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMSHA Code ya EU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8473302000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eNchi ya asili\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eUINGEREZA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eMuonekano wa Vifaa\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\u003eRejea ya Uchaguzi wa Mfano\u003c\/h2\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eMfano\u003c\/th\u003e\n\u003cth\u003eWireless\u003c\/th\u003e\n\u003cth\u003eRAM\u003c\/th\u003e\n\u003cth\u003ehifadhi ya 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 = Ndiyo; 0 = Hapana\u003c\/td\u003e\n\u003ctd\u003e01 = 1GB; 02 = 2GB; 04 = 4GB; 08 = 8GB\u003c\/td\u003e\n\u003ctd\u003e000 = Hakuna (Lite); 008 = 8GB; 016 = 16GB; 032 = 32GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eVipimo\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\u003eKumbuka\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4 × M2.5 mashimo kwenye pembe\u003c\/li\u003e\n\u003cli\u003eVipimo vyote viko katika mm\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2\u003eNini kilichojumuishwa\u003c\/h2\u003e\n\u003cp\u003e1 × Raspberry Pi Compute Module 4 - 8GB RAM, 32GB eMMC, 2.4\/5.0GHz Wi‑Fi \u0026na Bluetooth 5.0\u003c\/p\u003e\n\u003ch2\u003eMaelekezo \u0026na Nyaraka\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\"\u003eMuhtasari wa bidhaa ya Raspberry Pi Compute Module 4\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"http:\/\/datasheets.raspberrypi.org\/cm4\/cm4-datasheet.pdf\" target=\"_blank\"\u003eKaratasi ya data ya Raspberry Pi Compute Module 4\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.org\/cm4\/CM4-step.zip\" target=\"_blank\"\u003eFaili ya STEP ya Compute Module 4\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eMaelezo\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\u003eRaspberry Pi 4 Compute Module inajumuisha SoC, 1–8GB RAM, 0–16GB eMMC, Gigabit Ethernet, muunganisho wa wireless, na inasaidia antena za nje na za ndani.\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\u003eBodi ya Raspberry Pi CM4 ina sifa za 2711 SOC, kiunganishi cha UFL, kukatwa kwa wireless, na mipangilio ya pini iliyoelezewa kwa vipimo.\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 Mbili 4K","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003eModuli ya Hesabu ya Raspberry Pi 5 (CM5108016) ni mfumo-juu-ya-moduli unaoleta utendaji wa Raspberry Pi 5 kwa miundo iliyojumuishwa. Toleo hili linaunganisha Broadcom BCM2712 quad-core 64-bit Arm Cortex-A76 (Armv8) SoC @ 2.4GHz, 8GB LPDDR4, 16GB eMMC, pato la HDMI la dual 4Kp60, uhamasishaji wa video wa vifaa hadi 4Kp60, Ethernet ya Gigabit, Wi-Fi ya 2.4\/5.0GHz \u0026na Bluetooth 5.0, USB 3.0, interfaces za kamera mbili, na interface ya PCIe Gen 2 x1.\u003c\/p\u003e\u003ch2\u003eKey Features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eBroadcom BCM2712 quad-core 64-bit Arm Cortex-A76 CPU @ 2.4GHz\u003c\/li\u003e\n\u003cli\u003e8GB LPDDR4 na 16GB eMMC kwenye uhifadhi wa moduli\u003c\/li\u003e\n\u003cli\u003ePato la HDMI 2.0 la dual 4Kp60; uhamasishaji wa HEVC wa vifaa hadi 4Kp60\u003c\/li\u003e\n\u003cli\u003eWi-Fi ya ndani ya 2.4\/5.0GHz IEEE 802.11 b\/g\/n\/ac na Bluetooth 5.0 (BLE)\u003c\/li\u003e\n\u003cli\u003eSwitch ya kielektroniki kwenye bodi kuchagua alama ya PCB au antenna ya nje\u003c\/li\u003e\n\u003cli\u003eEthernet ya Gigabit ya ndani ya bodi na msaada wa IEEE 1588\u003c\/li\u003e\n\u003cli\u003ePCIe Gen 2 (5Gbps) x1 root complex na USB 3.0\u003c\/li\u003e\n\u003cli\u003eBandari mbili za MIPI zenye njia 4 zinazounga mkono DSI na CSI‑2\u003c\/li\u003e\n\u003cli\u003eHadi GPIO 30 (1.8V au 3.3V) zikiwa na UART, I2C, SPI, SDIO, DPI, I2S, PWM, GPCLK\u003c\/li\u003e\n\u003cli\u003eImetengenezwa kwa viunganishi vya bodi hadi bodi (B2B)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMifano\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eProcessor\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\u003eKumbukumbu\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8GB LPDDR4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUhifadhi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMuunganisho\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e2.4GHz \/ 5.0GHz IEEE 802.11 b\/g\/n\/ac isiyo na waya; Bluetooth 5.0, BLE; swichi ya kielektroniki iliyojumuishwa kwa ajili ya alama za PCB au antena ya nje\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eOnboard Gigabit Ethernet PHY inayounga mkono IEEE1588\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × USB 2.0 (kasi ya juu); 2 × USB 3.0 (sawa 5Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e1 × PCIe x1 root complex, Gen 2 (5Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003eHadi 30 × GPIO (1.8V au 3.3V) ikiwa na: hadi 5 × UART, 5 × I2C, 5 × SPI, 1 × SDIO, 1 × DPI, 1 × I2S, hadi 4 × PWM, hadi 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 × HDMI 2.0 ports (hadi 4Kp60 kwa wote wawili kwa wakati mmoja)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003c\/td\u003e\n\u003ctd\u003e2 × 4‑lane MIPI ports kwa DSI (kuonyesha) na CSI‑2 (kamera)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMultimedia\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e4Kp60 HEVC decoder; 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\u003eNguvu ya kuingiza\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eIngizo moja la PSU +5V linaunga mkono USB PD hadi 5A @ 5V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eJoto la kufanya kazi\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e20°C hadi +85°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMTBF (Mazingira ya Ardhi)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eMasaa 143,000 (masaa 168,000 CM5 Lite)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVipimo\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\u003eMuda wa uzalishaji\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKatika uzalishaji hadi angalau Januari 2036\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eUzingatiaji\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eKwa idhini za ndani na za kikanda, angalia pip.raspberrypi.com\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eRejea ya Uchaguzi wa Mfano\u003c\/h2\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMfano\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\u003ehifadhi ya eMMC\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCM5\u003c\/td\u003e\n\u003ctd\u003e1 = Ndio; 0 = Hapana\u003c\/td\u003e\n\u003ctd\u003e01 = 1GB; 02 = 2GB; 04 = 4GB; 08 = 8GB; 16 = 16GB\u003c\/td\u003e\n\u003ctd\u003e000 = Hakuna (Lite); 008 = 8GB; 016 = 16GB; 032 = 32GB; 064 = 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eMuonekano wa Vifaa\u003c\/h2\u003e\u003cp\u003eUmbo la kifaa na mpangilio wa kiunganishi unalingana na kiwango cha CM5 kwa ajili ya uunganisho wa bodi ya kubeba. Tazama mchoro wa vipimo kwa ajili ya rejea pekee (vipimo vyote katika mm; vinategemea uvumilivu na mabadiliko).\u003c\/p\u003e\u003ch2\u003eNyaraka\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5-product-brief.pdf\" target=\"_blank\"\u003eMuhtasari wa bidhaa ya Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/datasheets.raspberrypi.com\/cm5\/cm5-datasheet.pdf\" target=\"_blank\"\u003eKaratasi ya data ya Raspberry Pi Compute Module 5\u003c\/a\u003e\u003c\/li\u003e\n\u003cli\u003e\u003ca href=\"https:\/\/pip.raspberrypi.com\/categories\/1096-design-files\" target=\"_blank\"\u003eFaili za muundo wa 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\u003eUINGEREZA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003ch2\u003eNini Kimejumuishwa\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, 2.4\/5.0GHz Wi‑Fi \u0026na Bluetooth 5.0\u003c\/li\u003e\u003c\/ul\u003e\u003ch2\u003eMaelezo\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\u003eRaspberry Pi Compute Module 5 ina CPU ya Broadcom BCM2712, 2GB–16GB RAM, hadi 64GB eMMC, Gigabit Ethernet, moduli isiyo na waya, kiunganishi cha antena ya nje, na kidhibiti cha I\/O kinachoonekana na kumbukumbu juu na chini.\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\u003eVipimo vya Raspberry Pi Compute Module 5: 55mm x 40mm, ikiwa na mashimo ya kufunga na sehemu za kukata kwa ajili ya viunganishi na vipengele.\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\/sw\/collections\/compute-modules.oembed","provider":"RCDrone","version":"1.0","type":"link"}