Jetson TX2 Dev Kit


Image of Board

NVIDIA® Jetson™ TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It provides up to 2.5X the performance of Jetson Nano, and shares form-factor and pin compatibility with Jetson Nano and Jetson Xavier™ NX.

This small module packs hardware accelerators for the entire AI pipeline, and NVIDIA JetPack™ SDK provides the tools you need to use them for your application. Custom AI network development is easy with pre-trained AI models from NVIDIA NGC™ and the NVIDIA Transfer Learning Toolkit, and containerized deployments make updates for your product flexible and seamless.

Ease of development and speed of deployment—plus a unique combination of form-factor, performance, and power advantage—make Jetson TX2 NX the ideal mass-market AI product platform.

  • AI Performance: 1.33 TFLOPs
  • GPU: NVIDIA Pascal™ Architecture GPU with 256 CUDA cores
  • CPU: Dual-core NVIDIA Denver 2 64-bit CPU and quad-core ARM A57 Complex
  • Memory: 4GB 128-bit LPDDR4, 1600 MHz - 51.2 GBs
  • Storage: 16GB eMMC 5.1 Flash Storage



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Adafruit Blinka Installation

We use a special library called adafruit_blinka (named after Blinka, the CircuitPython mascot) to provide the layer that translates the CircuitPython hardware API to whatever library the Linux board provides.

For example, on Raspberry Pi we use the python RPi.GPIO library. For any I2C interfacing we'll use ioctl messages to the /dev/i2c device. For SPI we'll use the spidev python library, etc. These details don't matter so much because they all happen underneath the adafruit_blinka layer.