Ara-2 USB Module: eTOPS for Gen AI Workloads

  • This page contains information on a preproduction product. Specifications and information herein are subject to change without notice. For additional information please contact your 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

AI Model Architectures Supported

  • Convolutional Neural Networks (CNNs)
  • Transformer Models
  • Large Language Models (LLMs)
  • Multimodal Language Models (MMLMs)
  • Vision Language Models (VLMs)
  • Vision Language Actions (VLAs)

Performance

  • Up to 40 eTOPS*

Security

  • Secure Boot
  • Root-of-trust processor

Memory (LPDDR4)

  • 8 GB or 16 GB (stores all user models)

Operating System Support (Runtime)

  • Linux

Host Interface

  • USB3 Gen 2 (10 GB/s)

Dimensions (W x L)

  • 30 mm x 80 mm

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.

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