Jetson Orin NX AI Development Kit - 16GB

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Description

The Jetson Orin NX SUB development kit adopts the official original Jetson Orin NX module, equipped with Yahboom Jetson Orin NX carrier board, and comes with a WiFi network card, 256GB M.2 MakerDisk SSD, power supply, and other accessories. Onboard resources and size layout are consistent with the official board. A more stable power supply scheme is also designed specifically for the power consumption characteristics of the Orin NX core module, supporting PoE power supply to meet the 25W power consumption requirement, which can achieve larger and more complex neural networks.

 


 

Adopting the official Jetson Orin NX core module

The Jetson Orin NX is the latest generation product officially released by NVIDIA. With maximum power of 25W, it greatly improves the performance compared to the previous generation Jetson Xavier NX.


Since the Orin NX core module didn't have eMMC, it needs to be installed with NVMe storage. A 256GB M.2 NVMe MakerDisk SSD is pre-installed with the system image has been written, ready to use.

 


Pre-installed wireless network card

The kit includes 8265AC NGW dual-band wireless network card (pre-installed), supports Bluetooth 4.2, dual-band WIFI, 3db large gain dual antenna for free. Transmission speed up to 867M, which can make wireless signal transmission and transmission distance longer in an open environment.


 

 

Warranty Period: 12 months
Features
  • The latest Orin NX carrier board is perfectly compatible with Nvidia's Jetson Orin NX core module, with reasonable layout and stable performance.
  • The developer kit includes a 256GB M.2 SSD solid-state drive, WiFi network card antenna, and power supply.
  • Compared with Jetson Xavier NX, Jetson Orin NX interface resources are optimized and upgraded, the performance is improved by 3~5 times, and the memory read and write speed is doubled.
  • Based on the Ubuntu 20.04 system, the Jetpack provides many ROS and AI vision-related tutorials and open-source codes.

 

SOM Specifications:

  • AI Performance: Up to 100 (Sparse) INT8 TOPs and 50 (Dense) INT8 TOPs
  • Ampere GPU
    • 1024 NVIDIA® CUDA® cores | 32 Tensor cores | End-to-end lossless compression | Tile Caching | OpenGL® 4.6 | OpenGL ES 3.2 | Vulkan™ 1.1 ◊ | CUDA 10 |
    • Maximum Operating Frequency: 918 MHz
  • Deep Learning Accelerator
    • 2x NVDLA | Maximum Operating Frequency: 614 MHz | 20 TOPS each (Sparse INT8)
  • Arm Cortex-A78AE CPU
    • Eight-core Cortex A78AE Armv8.2 (64-bit) heterogeneous multi-processing (HMP) CPU architecture | 2x clusters (4x 256KB L2 +2MB L3) + 4MB LLC | L3 Cache: 4 MB (shared across all clusters)
  • Audio
    • Dedicated programmable audio processor | Arm Cortex A9 with NEON | PDM in/out | Industry-standard High-Definition Audio (HDA) controller provides a multi-channel audio path to the HDMI® interface
  • Memory:
    • 16 GB 128-bit LPDDR5 DRAM 
    • Secure External Memory Access Using TrustZone® Technology | System MMU | Maximum Operating Frequency: 3200 MHz
  • Networking: 10/100/1000 BASE-T Ethernet | Media Access Controller (MAC)
  • Imaging: Eight lanes MIPI CSI-2 | D-PHY 2.1 (20 Gbps)
  • Display Controller: 1x shared HDMI 2.1, eDP 1.4, VESA DisplayPort 1.4a HBR3 | Maximum Pixel Clock at 1080 MHz: up to 7680x4320 at 30 Hz
  • Multi-Stream HD Video and JPEG
    • Video Decode:
      • Standards supported: H.265 (HEVC), H.264, VP9, AV1
        • 1x8K30 (H.265)
        • 2x4K60 (H.265)
        • 4x4K30 (H.265)
        • 9x1080p60 (H.265)
        • 18x1080p30 (H.265)
    • Video Encode: 
      • Standards supported: H.265 (HEVC), H.264, AV1
        • 1x4K60 (H.265)
        • 3x4K30 (H.265)
        • 6x1080p60 (H.265)
        • 12x1080p30 (H.265)
  • Peripheral Interfaces
    • xHCI host controller with integrated PHY (up to) 3x USB 3.2, 3x USB 2.0 | 3x1 (or 1x2 + 1x1) + 1x4 (GEN4) PCIe | 3x UART | 2x SPI | 4x I 2C | 1x CAN | DMIC | DSPK | 2x I2S | 15x GPIOs
  • Storage: Supports External Storage (NVMe) via x2 or x4 PCIe
  • Mechanical: Module Size: 69.6 mm x 45 mm | 260 pin SO-DIMM Connector
  • Operating Requirements
    • Temp. Range (TJ)*: -25°C – 105°C
    • Maximum Orin SoC Operating Temperature = Slowdown Temp = 99°C
  • Supported Power Input: 5V – 20V
    • Jetson Orin NX 16GB Modes: 10W | 15W | 25W

Board Layout:

Packing List

 

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Tags: Nvidia, Xavier NX, Artificial Intelligence, Deep Learning, Neural Network, Edge AI, Machine Learning