i.MX 8M Plus – Arm® Cortex®-A53, Machine Learning, Vision, Multimedia and Industrial IoT
Design Files
Receive the full breakdown. See the product footprint and more in the eCad file.
Ara240 Discrete Neural Processing Unit (DNPU)
The Ara240 Discrete Neural Processing Unit (DNPU) enables real-time generative AI, large language models (LLMs) and vision language models (VLMs) execution on AI-enabled compute and embedded systems, delivering low-latency, lower operational costs and enhanced data privacy. Its innovative architecture combines balanced compute, large on-chip memory and high off-chip bandwidth to efficiently execute large models.
Explore the Ara240 DNPU with the Ara240 16 GB M.2 Module.
Product Details
Block Diagram
Choose a diagram:
Features
AI-Model Frameworks Supported
- 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 equivalent tera operations per second (eTOPS)*
Security
- Secure boot
- Root-of-trust processor
Memory Interface
- Up to 16 GB low-power double data rate 4 (LPDDR4)
Operating System Support (Runtime)
- Linux
Host Interface
- 4-lane peripheral component interconnect express (PCIe) Gen4
- USB 3.2 Gen 1
Chip Package
- 17 mm x 17 mm flip-chip ball grid array (FCBGA)
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Design Resources
Hardware
Quick reference to our
board types.
2 hardware offerings
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Evaluation and Development BoardsAra240 16GB M.2 Module
Active -
Evaluation and Development BoardsAra240 USB Module: eTOPS for Gen AI Workloads
Preproduction
Software
Quick reference to our software types.
2 software files
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AI/ML Modeling Tools
Ara Software Development Kit
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AI/ML Modeling Tools
eIQ® Toolkit for End-to-End Model Development and Deployment
Note: For better experience, software downloads are recommended on desktop.