The power of modern AI is now available for makers, learners, and embedded developers everywhere. Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module.
Get started fast with the comprehensiveJetPack SDKwith accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and capabilities you need to run modern AI workloads, giving you a fast and easy way to add advanced AI to your next product. To get started with your development process, check out theJetson Nano Developer Kit.
Jetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
Get started today with the Jetson Nano Kit. All Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).
Specifications
Module Technical Specifications
GPU
NVIDIA Maxwell™architecture with 128 NVIDIA CUDA®cores 0.5 TFLOPs (FP16)
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To get started with your development process, check out the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\"\u003eJetson Nano Developer Kit\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eJetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet started today with the Jetson Nano Kit. \u003c\/strong\u003e\u003cstrong\u003eAll Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cp\u003e\u003cspan\u003eModule Technical Specifications\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\" style=\"width: 488.766px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eNVIDIA Maxwell\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003earchitecture with 128 NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003ecores 0.5 TFLOPs (FP16)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eQuad-core ARM\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMemory\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4 GB 64-bit LPDDR4\u003cbr\u003e1600MHz - 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e16 GB eMMC 5.1 Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCamera\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" class=\"tableCLdata\" style=\"width: 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class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eSize\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e69.6 mm x 45 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMechanical\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e260-pin edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","published_at":"2022-12-06T11:12:04+05:30","created_at":"2021-08-20T16:17:13+05:30","vendor":"NVIDIA","type":"Single Board Computers","tags":["AI","AI GPU","CUDA","GPU","Jetson GPU","Jetson module","jetson nano","Jetson Nano Case","JETSON SOM","JT-SOM","NVDA","nvidia","nvidia 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Jetson Nano Module Online","id":21199429828694,"position":2,"preview_image":{"aspect_ratio":1.78,"height":354,"width":630,"src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/jetson-nano-commercial-module-2c50-d.jpg?v=1629456435"},"aspect_ratio":1.78,"height":354,"media_type":"image","src":"\/\/thinkrobotics.com\/cdn\/shop\/products\/jetson-nano-commercial-module-2c50-d.jpg?v=1629456435","width":630}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe power of modern AI is now available for makers, learners, and embedded developers everywhere. \u003c\/span\u003eJetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module.\u003c\/p\u003e\n\u003cp\u003eGet started fast with the comprehensive\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eJetPack SDK\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003ewith accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and capabilities you need to run modern AI workloads, giving you a fast and easy way to add advanced AI to your next product. To get started with your development process, check out the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\"\u003eJetson Nano Developer Kit\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eJetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet started today with the Jetson Nano Kit. \u003c\/strong\u003e\u003cstrong\u003eAll Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cp\u003e\u003cspan\u003eModule Technical Specifications\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\" style=\"width: 488.766px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eNVIDIA Maxwell\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003earchitecture with 128 NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003ecores 0.5 TFLOPs (FP16)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eQuad-core ARM\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMemory\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4 GB 64-bit LPDDR4\u003cbr\u003e1600MHz - 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e16 GB eMMC 5.1 Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCamera\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" class=\"tableCLdata\" style=\"width: 98px;\"\u003eConnectivity\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eWi-Fi requires external chip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eHDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eUPHY\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e1 x1\/2\/4 PCIE, 1x USB 3.0, 3x USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eI\/O\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eSize\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e69.6 mm x 45 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMechanical\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e260-pin edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e"}
