Jetson Nano Dev Kit


Image of Board

The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.

The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. And it is incredibly power-efficient, consuming as little as 5 watts.

  • GPU 128-core Maxwell™ GPU
  • CPU 4-core ARM A57
  • Memory 4 GB 64 Bit LPDDR4 25.6 GB/s
  • Storage microSD (not included)
  • Video Encode 4Kp30 4x 1080p30 8x 720p30 (H.264/H.265)
  • Video Decoder 4Kp60 2x 4Kp30 8x 1080p30 16x 720p30 (H.264/H.265)
  • Size 100mm x 80mm x 29mm
  • Deployment Module (Jetson Nano)
  • USB 5
  • Ethernet 1
  • I2C 1
  • SPI 1
  • UART 1
  • GPIO 1
  • Display Interface HDMI
  • Operating Systems Linux
  • PC Card Interface SD



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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.