Key Features
- Jetson Nano SoM
- Powerful GPU and CPU for AI graphic applications
- 16GB eMMC, rich interfaces for development, and M.2 Key E connector for connection
Description
NVIDIA Jetson Nano Module is an SoM of Jetson Nano Development Kit. Basically, it can be used to assemble an SBC with an extension board to achieve graphic AI applications. With this powerful AI SoM, developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
This Module contains most features of the Jetson Nano Development Kit, including main GPU, CPU and many user interfaces like CSI, USB, GPIO, etc. The significant difference may cause by the storage, which is 16GB eMMC in Jetson Nano Module instead of the MicroSD card in the Jetson Nano Development Kit. All these functions can be realized by an M.2 Key E connector.
Similarly for the software, the NVIDIA Jetson Nano Module supports NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT¢ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more.
Specification
- GPU: NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
- CPU: Quad-core ARM Cortex-A57 MPCore processor
- Memory: 4 GB 64-bit LPDDR4, 1600MHz 25.6 GB/s
- Storage: 16 GB eMMC 5.1
- Video Encode: 250MP/sec(1x 4K @ 30 (HEVC), 2x 1080p @ 60 (HEVC), 4x 1080p @ 30 (HEVC), 4x 720p @ 60 (HEVC), 9x 720p @ 30(HEVC))
- Video Decode: 500MP/sec(1x 4K @ 60 (HEVC), 2x 4K @ 30 (HEVC), 4x 1080p @ 60 (HEVC), 8x 1080p @ 30 (HEVC), 9x 720p @ 60 (HEVC))
- Camera: 12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (1.5 Gb/s per pair)
- Connectivity: Gigabit Ethernet, M.2 Key E
- Display: HDMI 2.0 and eDP 1.4
- USB: 4x USB 3.0, USB 2.0 Micro-B
- Others: GPIO, I2C, I2S, SPI, UART
- Mechanical: 69.6 mm x 45 mm, 260-pin edge connector
Part List
- 1 x NVIDIA Jetson Nano Module