Compact List
Ara-2 M.2 (M-Key) Module: 40 eTOPS for Gen AI Workloads
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The Ara-2 M.2 (M-Key) Module offers up to 40 equivalent TOPS (eTOPS) for high-performance, power-efficient AI inference. Designed to handle the compute demands of large language models (LLMs), Vision Language Models (VLMs) and transformer-based models, this compact module is ideal for enabling or upgrading edge AI applications. It runs multiple AI models simultaneously without performance penalties.
Product Details
Block Diagram
Choose a diagram:
Supported Devices
Processors and Microcontrollers
Discrete Neural Processing Units
- ARA-2-DNPU: Ara-2: Discrete NPU for Real-Time Generative AI
i.MX 8 Applications Processors
- i.MX8MPLUS: i.MX 8M Plus – Arm® Cortex®-A53, Machine Learning, Vision, Multimedia and Industrial IoT
i.MX 9 Processors
- i.MX95: i.MX 95 Applications Processor Family: High-Performance, Safety Enabled Platform with eIQ® Neutron NPU
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
- Windows
Host interface
- 4-lane PCIe Gen 4
Dimensions (W x L)
- 22 mm x 80 mm
Design Resources
Software
Quick reference to our software types.
1 software file
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AI/ML Modeling Tools
Ara Software Development Kit
Note: For better experience, software downloads are recommended on desktop.