NVIDIA 900-13448-0020-000 - NVIDIA Jetson Nano System-on-Module Maxwell GPU + ARM Cortex-A57 + 4GB LPDDR4 + 16GB eMMC
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NVIDIA 900-13448-0020-000 - NVIDIA Jetson Nano System-on-Module Maxwell GPU + ARM Cortex-A57 + 4GB LPDDR4 + 16GB eMMC
NVIDIA Jetson Nano Module is an SoM of the Jetson Nano Development Kit used to assemble an SBC with an extension board to produce graphic AI applications. The SoM allows users to run AI frameworks and models for image classification, object detection, segmentation, and speech processing applications. The NVIDIA Jetson Nano Module offers most of the Jetson Nano Development Kit features, including main GPU, CPU, and many user interfaces like CSI, USB, GPIO, etc. Furthermore, the main difference is storage, 16GB eMMC in the Jetson Nano Module instead of the MicroSD card in the Jetson Nano Development Kit. An M.2 Key E connector activates all these functions.
Similarly for the software, the NVIDIA Jetson Nano Module supports NVIDIA JetPack, including 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.
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 |
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Valmistajan malli | 900-13448-0020-000 |