NVIDIA® Jetson Nano™ lets you bring incredible new capabilities to millions of small, power-efficient AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.
Jetson Nano is also the perfect tool to start learning about AI and robotics in real-world settings, with ready-to-try projects and the support of an active and passionate developer community.
At just 70 x 45 mm, the Jetson Nano module is smaller than a credit card. But this production-ready System on Module (SOM) delivers big when it comes to deploying AI to devices at the edge across multiple industries—from smart cities and factories to agriculture and robotics.
Jetson Nano delivers 472 GFLOPs for taking on modern AI algorithms. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously, making it ideal for applications ranging from NVRs to intelligent gateways.
Now, you can innovate at the edge with powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watts.
Jetson Nano Technical Specifications |
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GPU
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NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores
0.5 TFLOPs (FP16)
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CPU
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Quad-core ARM® Cortex®-A57 MPCore processor
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Memory
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4 GB 64-bit LPDDR4
1600MHz - 25.6 GB/s
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Storage
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16 GB eMMC 5.1 Flash
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Video Encoder
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4Kp30 | 4x 1080p30 | 9x 720p30 (H.264/H.265)
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Video Decoder
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4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264/H.265)
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Camera
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12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)
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Connectivity
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Wi-Fi requires external chip
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10/100/1000 BASE-T Ethernet
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Display
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HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
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UPYH
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1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
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I/O
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3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
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Size
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69.6 mm x 45 mm
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Mechanical
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260-pin edge connector
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