AI/ML

Artificial Intelligence & Machine Learning

Build

Explore/Develop/Train ​

AI Training/Inference

  • Cerebro: 6 Alveo FPGAs​
  • Genisys: 6 V100 GPUs​
  • Synergy: 2 GPU 2 FPGA​
  • HW emulation, ​ acceleration, validation​
  • FPGA Prototyping and ​ SW bring-up​ ​ ​

AI Training

  • 32 Ascend 910
  • 16 Kunpeng 920
  • 8 PFLOPS@FP16
  • CANN computing architecture
  • SW stack allowing 32 simultaneous users

Optimize

Prototype & Benchmark​

deeplite-logo

AI-DRIVEN OPTIMIZER​

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

Deploy

Landing your solution​

Edge PLATFORMs and IPs​

32- and 64-bit open-source RISC-V cores​

  • Barrel RISC-V Processor For AI Acceleration​
  • RISC-V Processor Design and Prototyping​ ​

Atlas 200 DK
AI Developer Kit​

  • AI @ edge​
  • Ascend 310​
  • 22 TOPS INT8​
    16 TOPS INT8​
    8 TOPS INT8

Events

october 2021

11octAll Day15CENGN Docker and Kubernetes BasicsCMC-Hosted Training

11octAll Day15CENGN Machine Learning with PythonCMC-Hosted Training

Contact Us

Dr. Yassine Hariri
Senior Staff Scientist
AI/ML and Embedded Systems
Office: 1.613.530.4672

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

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