DX-M1 M.2 AI Acceleration Module

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.

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