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DEEPX Edge AI: Ultra-Low Power, GPU-Class NPU Modules & Systems

Powering Next-Gen Edge Cameras, Robotics, and Smart Factories with 1-5W Breakthrough Efficiency

Main image includes the DEEPX products available for customer's to purchase through AVNET.

DEEPX DX-M1 delivers up to 200 TOPS GPU-class AI performance at just 1–5W. Featuring IQ8 INT8 quantization for FP32-level accuracy, DEEPX enables concurrent multi-model edge AI with superior thermals and 90% TCO savings for smart devices.

DEEPX delivers industry-leading, high-efficiency Edge AI hardware and software solutions that make high-performance AI deployment accessible, scalable, and cost-effective across global markets.

 

Features 

  • GPU-Class AI Performance at 1–5W: DX-M1 delivers up to 200 TOPS, providing 20x energy efficiency over standard 40W GPGPUs.
  • DEEPX IQ8 Quantization: Retains FP32-level accuracy (<1% drop) with ultra-low-power INT8 execution.
  • All-in-One DEEPX SDK: Seamless PyTorch/ONNX conversion with multi-model concurrent execution.
  • Industrial Reliability: Extended operating temperature (-25°C to 85°C) for fanless edge environments.
  • 90% TCO Advantage: Delivers breakthrough AI processing at 10% of traditional GPU deployment costs.

 

Application 

  • Edge Cameras Systems
  • Smart Mobility
  • Smart Factory
  • Smart Cities
  • Robotics
  • Drones
  • Edge Computing
  • Smart Homes
  • Smart Retail

 

Key Components 

       AI Modules

  • DX-M1
  • DX-M1M
  • DX-H1 V-NPU
  • DX-H1 Quattro

       AI System 

  • DX-AI-Player 

       AI Software Platform

  • DXNN SDK

 

Benefits

  • Superior Thermal Management

        Maintains high performance while staying safely within industrial temperature range (-25°C to 85°C), making it uniquely suitable for real-world applications where competing solutions fail due to overheating.

  • GPU-Level AI Accuracy

       Achieves GPU-level AI accuracy using quantized Int-8 precision instead of power-hungry FP32, ensuring reliable on-device intelligence that meets industry standards of less than 1% accuracy drop.

  • Exceptional Performance Efficiency

       Delivers around 20x power performance efficiency compared to GPGPUs and outperforms competitors by more than 2x, ensuring on-device systems can maintain high-level AI capabilities without compromise.

  • Industry-Leading TCO

       Even if competitors offered their chips for free, the DX-M1 would still be more economical. Lower power consumption translates to dramatically reduced operational costs, making advanced AI economically feasible at scale.

 

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