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NVIDIA Jetson Nano Module

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. 

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PRODUCT DETAILS

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Features

  • Compact size SoM powerful enough for advanced AI applications with low power consumption
  • Supports entire NVIDIA Software Stack for application development and optimization
  • Enables development of AI applications using NVIDIA JetPack™ SDK
  • Easy to build, deploy, and manage AI at the edge
  • Flexible and scalable platform to get to market with reduced development costs
  • Continuous updates over the lifetime of the product

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. 

Comparison Between The NVIDIA Jetson AI Modules 

Jetson NanoJetson TX2 NXJetson TX2 SeriesJetson Xavier NXJetson AGX Xavier Series
AI Performance 0.5 TFLOPS (FP16) 1.33 TFLOPs 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 NVIDIA Pascal™ Architecture GPU with 256 CUDA cores 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 processor
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 4GB 128-bit LPDDR4, 1600 MHz - 51.2 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
Power Consumption 5-10W 7.5W / 15W 7.5-15W 10-15W 10-30W
Dimensions 45 x 70mm 45 x 70mm 50 x 87mm 45 x 70mm 100 x 87mm
Price $149 $199 Starting at $299 $499 Starting at $679

Specifications

SpecificationDetails
GPU NVIDIA Maxwell architecture with 128 NVIDIA CUDA® cores
CPU Quad-core ARM Cortex-A57 MPCore processo
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

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ECCN/HTS

HSCODE 8543709990
UPC

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