Custom Meta Tags - Dynamic

Hero Banner

New Product Introduction

NPI Body

DEEPX DX-M1

DX-M1 - Intelligence liberated - powerful, efficient, and universal at the edge

DEEPX DX-M1

The DX-M1 AI chip is more than silicon, it is the declaration that intelligence belongs everywhere, not just in the cloud. At only 2–5W, it delivers the force of 200 GPU-class TOPS, transforming the edge from a passive receiver into an active decision-maker. at just 2-5W through breakthrough efficiency design.

Through its innovative memory design, DX-M1 allows multiple AI models to work side by side, not as a luxury but as a new standard. What once demanded costly, power-hungry systems is now within reach of every device, every factory, every city.

This is not a step forward in chips. It is a step forward in civilization, where real-time intelligence becomes universal, affordable, and inevitable.

 

Features

  • ​Processor
    • 25 TOPS (=200 eTOPS / INT8)
  • Signal Interface​
    • PCIe GEN3 x4 / Band width: 4GB/s (*Compatible to PCIE x1)
  • Power​
    • 2W min., 5W max. for DEEPX supported AI models
  • Operating Temperature​
    • -25 ~ 85°C (Throttling), -25 ~ 65°C (Non-Throttling)
  • Software and Framework Support
    • Windows 11, 10 64 bit
    • Ubuntu 22.04, 20.04 LTS Support Yocto Project
    • Support TensorFlow, ONNX, Keras, PyTorch by Dataflow complier converted
  • System Support
    • x86, ARM Based Architecture

 

Applications

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

 

Benefits

  • Superior Thermal Management
  • Exceptional Performance Efficiency
  • GPU-Level AI Accuracy
  • Industry-Leading TCO

 

Block diagram

DX-M1 chip Block Diagram
Click to enlarge

 

Features Details
Processor 25 TOPS (=200 eTOPS / INT8)
Signal Interface PCIe GEN3 x4 / Bandwidth: 4GB/s (*Compatible to PCIe x1)
Power 2W min., 5W max. for DEEPX supported AI models
Operating Temperature -25 ~ 85°C (Throttling), -25 ~ 65°C (Non-Throttling)
Software and Framework Support Windows 11, 10 64-bit
Ubuntu 22.04, 20.04 LTS Support Yocto Project
Support TensorFlow, ONNX, Keras, PyTorch by Dataflow compiler converted
System Support x86, ARM Based Architecture

 

Body Content Spots

Supplier Logo

Content Spots

Related Link



Have a question?

Get in touch:
Click here to find contact information for your local Avnet Silica team.