Jetson Xavier NX


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Jetson Xavier NX delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. It can run modern neural networks in parallel and process data from multiple high-resolution sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size, weight, and power budgets.

  • GPU 384-core NVIDIA Volta™ GPU with 48 Tensor Cores
  • CPU 800/1100 MHz 6-core NVIDIA Carmel ARM®v8.2 64-bit CPU 6MB L2 + 4MB L3
  • Memory 8 GB 128-bit LPDDR4x @ 1600 MHz 51.2GB/s
  • Storage 16 GB eMMC 5.1
  • Power 10/15W
  • PCIe 1 x1 + 1x4
  • CSI Camera Up to 6 cameras (36 via virtual channels)
  • Video Encode 2x 4K @ 30 (HEVC)
  • Video Decode 2x 4K @ 60 (HEVC)
  • Display 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
  • DL Accelerator 2x NVDLA Engines
  • Networking 10/100/1000 BASE-T Ethernet

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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.