Note: Due to global shortage of the official NVIDIA Jetson Developer Kits, we bring you the alternative reComputer NVIDIA Jetson Nano 4GB Developer Kit, built with official NVIDIA Jetson Modules!
NVIDIA Jetson Nano Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs on as little as 5 watts.
Jetson Nano delivers 472 GFLOPS for running modern AI algorithms fast, with a quad-core 64-bit ARM CPU, a 128-core integrated NVIDIA GPU, as well as 4GB LPDDR4 memory. It runs multiple neural networks in parallel and processes several high-resolution sensors simultaneously.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The SDK also includes the ability to natively install popular open source Machine Learning (ML) frameworks such as TensorFlow, PyTorch, Caffe / Caffe2, Keras, and MXNet, enabling developers to integrate their favorite AI model / AI framework into products fast and easily.
This is the B01 model of the Jetson Nano Developer Kit which was released in early 2020. This new model includes upgrades including the additional CSI port for cameras and compatibility with the Jetson Xaiver NX Module.
|CPU||Quad-core ARM A57 @ 1.43 GHz|
|Memory||4 GB 64-bit LPDDR4 25.6 GB/s|
|Storage||microSD (not included)|
|Video Encode||4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)|
|Video Decode||4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)|
|Camera||2x MIPI CSI-2 DPHY lanes|
|Connectivity||Gigabit Ethernet, M.2 Key E|
|Display||HDMI and display port|
|USB||4x USB 3.0, USB 2.0 Micro-B|
|Others||GPIO, I2C, I2S, SPI, UART|
|Mechanical||69 mm x 45 mm, 260-pin edge connector|
Developer Kit Interfaces
Comparison Between The NVIDIA Jetson AI Developer Kits
|Jetson Nano Developer Kit||Jetson TX2 Developer Kit||
Jetson Xavier NX
|Jetson AGX Xavier Developer Kit|
|AI Performance||0.5 TFLOPS (FP16)||1.3 TFLOPS (FP16)||6 TFLOPS (FP16)
21 TOPS (INT8)
|5.5-11 TFLOPS (FP16)
20-32 TOPS (INT8)
|GPU||128-core NVIDIA Maxwell™ GPU||256-core NVIDIA Pascal™ GPU architecture with 256 NVIDIA CUDA cores||NVIDIA Volta architecture with 384 NVIDIA CUDA® cores and 48 Tensor cores||512-Core Volta GPU with Tensor Cores|
|CPU||Quad-core ARM A57 @ 1.43 GHz||Dual-Core NVIDIA Denver 2 64-Bit CPU
Quad-Core ARM® Cortex®-A57 MPCore
|6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6 MB L2 + 4 MB L3||8-Core ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3|
|Memory||4 GB 64-bit LPDDR4 25.6 GB/s||8GB 128-bit LPDDR4
1866 MHz - 59.7 GB/s
|8 GB 128-bit LPDDR4x @ 51.2GB/s||32 GB 256-Bit LPDDR4x | 137 GB/s|