Ara-1 USB Module for AI-Integrated Cameras and Embedded Systems

  • This page contains information on a product not recommended for new designs. Specifications and information herein are subject to change without notice. For additional information, please contact NXP support or your NXP sales representative.

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Block Diagram

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NXP Applications Processor and Ara DNPU Connection

ARA-1-DNPU-BD-2

Integration of Ara DNPU and Applications Processors Host with Drivers

ARA-1-DNPU-BD-3

Machine learning deployment flow

ARA-1-DNPU-BD

Supported Devices

Processors and Microcontrollers

Discrete Neural Processing Units

i.MX 8 Applications Processors

i.MX 9 Processors

Features

AI model frameworks

  • TensorFlow
  • PyTorch
  • ONNX

Board size (W x L x H)

  • 27 mm x 50 mm x 5 mm (board only)
  • 48.3 mm x 91.5 mm x 23.8 mm (with heat sink)

AI Model Architectures Supported

  • Convolutional Neural Networks (CNNs)

Performance1

  • Up to 6 eTOPS*

Interface

  • USB-Type C port (3.2 Gen 1)
  • 2nd Type-C port (additional power, if needed)

Memory

  • 1 GB LPDDR4 (stores all user models)

Operating system support (Runtime)

  • Linux

Operating voltage (DC supply)

  • 5 V ±10 %

Chip package

  • 15 mm x 15 mm EHS-FCBGA

Documentation

Quick reference to our documentation types

1 documents

Compact List

Design Resources

Software

Quick reference to our software types.

1 software file

Note: For better experience, software downloads are recommended on desktop.

Support

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