Ara240 AI Acceleration Card

Product model: FAI-ARA240-M

Product interface: M.2

Product features: High-efficiency 40 eTOPS M.2 accelerator for real-time generative AI and industrial edge inference.

Brief Message Compare

FAI-ARA240-M Edge AI Accelerator

As an NXP Gold Partner, Forlinx Embedded will globally introduce the FAI-ARA240-M computing power card, perfectly timed with the launch of NXP next-generation Ara240 computing chip.

The FAI-ARA240-M computing power card is built around the NXP Ara240 processor, offering up to 40 eTOPS of AI computing power. With a standard M.2 M-Key interface and a 2280 size, it easily integrates as a co-processor with various host platforms. It has passed Forlinx Embedded's rigorous environmental tests for reliable long-term operation and includes development examples for quick deployment and mass production.

Key Highlights:

  • Up to 40 eTOPS | 16GB LPDDR4
  • Supports Mainstream Frameworks such as TensorFlow, PyTorch, ONNX, etc
  • Low power | Compliant with PCIe Gen4 x4 and USB 3.2 Gen1
  • Secure Boot & Root-of-Trust Processor | Supporting to Linux/Windows
  • M.2 (M-Key) interface: plug-and-play, easy-to-use

Ara240 Edge AI Accelerator NXP New Computing Power Chip

NXP New Computing Power Chip

The NXP Ara240 offers up to 40 eTOPS of AI computing power and supports models such as CNN, VLM, LLM,
and VLA. It has a maximum memory capacity of 16GB and can easily function as a co-processor with various mainstream host platforms.

Ara240 Edge AI Accelerator NXP New Computing Power Chip

Powerful Computing Capability

It features the NXP Ara240 high-performance computing chip, providing up to 40 eTOPS of AI computing power and 16GB of memory. It effectively supports complex AI inference tasks at the edge, enhancing efficiency in applications like industrial multimodal sensing and real-time visual processing.

NXP Ara240 Edge AI Accelerator - Powerful Computing Capability

Wide Range of Models

It is compatible with major AI architectures like CNN, Transformers, and GenAI, catering to both traditional vision algorithms and advanced generative AI applications. It efficiently loads complex models, making it ideal for diverse industrial scenarios and highly extensible.

NXP Ara240 Edge AI Accelerator - Wide Range of Models

Rich AI Software Development

It provides robust software development tools, featuring an extensible compiler that supports CNNs, Vision Transformers, and large language models for efficient deployment. It works with INT4, INT8, and MSFP16 data types, using flexible quantization and data flow optimization to balance computing power, storage, and accuracy.

NXP Ara240 Edge AI Accelerator - Rich AI Software Development Tools

M.2 Packaging

Designed with a standard M.2 form factor, it easily integrates with mainstream host platforms, allowing for efficient scaling of AI computing power without complex modifications, thus reducing development costs.

NXP Ara240 Edge AI Accelerator - Standard M.2 Packaging Form Factor

Excellent Heat Dissipation

Optimized thermal architecture ensures stable temperature management under high-load industrial conditions, effectively preventing overheating and performance loss. This guarantees reliable 24/7 operation even in demanding environments.

NXP Ara240 Edge AI Accelerator - Excellent Heat Dissipation and Thermal Architecture

Continuous Updates of User Documentation

NXP Ara240 Edge AI Accelerator - Continuous Updates of User Documentation

Wide Industry Applications

Delivering robust performance across industrial control , power, new energy, transportation, and healthcare sectors,
this solution combines high computing power and broad model compatibility with dedicated after-sales support from Forlinx Embedded.
Together, these advantages shorten your product's time to market and help you maintain a competitive edge.

NXP Ara240 Edge AI Accelerator - Wide Industry Applications

▊ Hardware Features



Hardware Parameters of Ara240 AI Acceleration Card
Processor NXP Ara240
RAM
  • 8GB LPDDR4
  • 16GB LPDDR4
Interface M.2 M-Key
Dimensions M.2 2280 (22mm x 80mm)
Supported Host SoC
  • i.MX8M Plus
  • i.MX95
AI Performance 40 eTOPS (equivalent TOPS)
Operating System Linux
AI-Model Frameworks Supported
  • TensorFlow
  • PyTorch
  • ONNX (Open Neural Network Exchange)
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)

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▊ How To Buy & Shipment


Purchase & Payment

1. Order Online: We have an online store on Alibaba. Please contact us for details.

2. Order Offline: Send your inquiry to [email protected].

3. Payment Terms: 100% T/T in advance.

Shipment

1. Delivery: Goods shipped by express upon receipt of payment.

2. Lead Time: Sample orders within 5 working days; bulk orders 6 weeks.

3. Shipping Charge: Buyers bear the shipping cost.

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