DX-M1 M.2 AI Acceleration Module

Product Highlights > DX-M1 M.2 AI Acceleration Module

            DX-M1 M.2 AI Acceleration Module
                    DEEPX modules deliver ultra-efficient AI acceleration with 25 TOPS performance
    

The DEEPX DX-M1 M.2 module brings server-grade AI inference directly to edge devices. Delivering 25 TOPS of performance at just 1 W to 5 W, the module achieves 20x better performance efficiency (FPS/W) than GPGPUs while maintaining GPU-level AI accuracy.

The module features excellent thermal efficiency, enabling optimal performance in resource-constrained environments without throttling. From a TCO perspective, it reduces electricity costs by 94% compared to GPGPU solutions, making deployment both reliable and cost-effective.

The standard M.2 interface provides exceptional versatility across computing platforms—from SBCs and SoMs to industrial PCs. This eliminates cloud dependency and makes high-performance AI accessible across diverse hardware ecosystems.

Software Access: The DXNN® SDK is available for download at https://github.com/DEEPX-AI. To access compilation features, DX-M1 M.2 module customers must register for the DEEPX developer portal by contacting sales@deepx.ai with their product serial number.

Technical Support: For comprehensive technical support, dedicated engineering assistance, and model optimization services, the DX TechBridge Program is available through sales@deepx.ai, a complete support solution that empowers AI innovation from first prototype to full-scale production.

Features

AI performance: 25 TOPS at 1 W to 5 W power consumption
Memory: 4 GB LPDDR5 (2 GB x 2 EA) + 1G bit NAND Flash storage
Form factor: M.2 2280 M-Key (22 mm x 80 mm x 4.1 mm)

Interface: PCIe Gen.3 x4 with universal host compatibility (x86, ARM)
Operating temperature: -25°C to +85°C (throttling), -25°C to +65°C (non-throttling)
Software support: TensorFlow, PyTorch, ONNX, Keras framework compatibility

Applications

Robotics: Autonomous robotics systems for face ID, pose detection, and multi-AI processing
Smart factories: AI-powered automation for logistics classification, crane automation, safety monitoring, and quality control
AI computers: Edge document processing, multilingual text recognition, industrial automation, and real-time OCR systems
Smart cameras: Intelligent surveillance platform for scene analysis, demographic insights, and threat detection
AI networks: Edge computing solutions, remote monitoring hardware, industrial IoT connectivity, and cellular AI applications
Smart city: VMS integration with AI models for object detection, crowd estimation, perimeter security, and traffic management