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How to Overcome the Pain Points of AI/ML Hardware Design

December 16, 2021 @ 10:00 am - 11:00 am PST

Achronix, December 16, 2021

Join Achronix for a live Webinar December 16th: 10-11 AM Pacific and Recorded On-Demand After the Event

AI/ML hardware faces three common pain points: memory bandwidth, computational throughput and on-chip data movement. Next-generation FPGA technology includes a 2D network on chip, GDDR6 memory interfaces and high performance machine learning processors, which present new capabilities to alleviate these pain points and offer a balance of speed, power and cost.

In this webinar, you will learn:

  • Top trends in data generation
  • Three challenges in processing data with AI/ML hardware solutions
  • How FPGA architectures can overcome data processing challenges
  • Featured example: How to achieve 60 TOPS in Speedster®7t FPGAs
Join the webinar to find out why FPGAs and embedded FPGA (eFPGA) IP are ideal platforms for AI/ML inferencing solutions that provide the flexibility of a GPU while performing at ASIC-like speeds.


December 16, 2021
10:00 am - 11:00 am PST
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