Edge AI

Effortlessly Train, Optimize and Deploy ML models on edge devices

Build

AI Training

CLOUD

Features

  • 4 nodes delivering 8 PFLOPS
  • FP16 2.56 PFLOPS/5.6KW/4U
  • 8 100G RoCE v2 high-speed ports

Applications

  • Model training
  • HPC
  • Smart city Smart healthcare
  • Astronomical Exploration
  • Oil exploration

Features

  • Tesla V100 Nodes
  • Alveo U250 Nodes
  • 8 nodes

Applications

  • Model training
  • HPC
  • ASICs Prototyping
  • Custom neural network accelerators

Optimize

AI Optimization

AI-DRIVEN OPTIMIZATION

optimization_icon

AI Optimization

Optimize Deep Neural Networks by making them faster, smaller and energy-efficient from the cloud to the edge

Supported ML Frameworks:

  • TensorFlow
  • PyTorch
  • KERAS
  • Caffe
  • ONNX
  • TVM

Deploy

AI Inference

EDGE

Features

  • 502 INT8 TOPs
  • 204MB on-chip SRAM
  • 75W TDP 40W typical
  • 8 TOPs/W

Applications

  • Vision
  • NLP
  • Finance
  • HPC

Atlas 200 DK

  • Custom AI accelerator

Applications

  • Low Power Edge AI
  • Mobile biometrics
  • ADAS
  • Industrial automation
  • Vision

Partnerships with AI Hardware and Software Leaders

Events

february 2024

Atlas 800 AI
Student Competition

$50,000 in Total Prize Money
Submission Deadline: JAN 15
NEW!

Contact Us

Dr. Yassine Hariri
Senior Staff Scientist
AI/ML and Embedded Systems
AI Optimization icon made by Eucalyp from www.flaticon.com

Accelerate your project by adding CMC to your R&D team!

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