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
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.
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.
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.
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.
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.
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.
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.
▊ Hardware Features
| Hardware Parameters of Ara240 AI Acceleration Card | |
|---|---|
| Processor | NXP Ara240 |
| RAM |
|
| Interface | M.2 M-Key |
| Dimensions | M.2 2280 (22mm x 80mm) |
| Supported Host SoC |
|
| AI Performance | 40 eTOPS (equivalent TOPS) |
| Operating System | Linux |
| AI-Model Frameworks Supported |
|
| AI Model Architectures Supported |
|
Contact Us
Welcome to get in touch with us, our experts will reply to your email within 24 hours.
▊ How To Buy & Shipment
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.
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.
▊ Forlinx Recommended Products
Architecture: 6× [email protected] + 1x Cortex-M7@800MHz + 1x Cortex-M33@333MHz
Frequency: 333MHz ,800MHz,1.8GHz
RAM: 8GB LPDDR4x
ROM: 64GB eMMC
Architecture: 6× [email protected] + 1x Cortex-M7@800MHz + 1x Cortex-M33@333MHz
Frequency: 333MHz ,800MHz,1.8GHz
RAM: 8GB LPDDR4x
ROM: 64GB eMMC
Architecture: 4x [email protected]+1x Cortex-M7@800MHz
Frequency: 1.6GHZ
RAM: 1GB/2GB/4GB LPDDR4
ROM: 8GB/16GB eMMC
