Are FPGAs good for accelerating AI? VentureBeat takes a closer look

VentureBeat has just posted an article titled “FPGA chips are coming on fast in the race to accelerate AI” that takes an in-depth look at the use of FPGAs for Artificial Intelligence (AI) applications. The article cites five AI application challenges that FPGAs help to overcome:

  • Overcoming I/O bottlenecks
  • Providing acceleration for high performance computing (HPC) clusters
  • Integrating AI into workloads
  • Enabling sensor fusion
  • Adding extra capabilities beyond AI

The article also discusses Microsoft’s integration of FPGA-based AI into Microsoft Azure and Project Brainwave and ends with the following statement:

“Today’s FPGAs offer a compelling combination of power, economy, and programmable flexibility for accelerating even the biggest, most complex, and hungriest models.”


If you are developing applications that incorporate AI, be sure to take a look at “FPGA chips are coming on fast in the race to accelerate AI.”



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Published on Categories AI/MLTags
Steven Leibson

About Steven Leibson

Be sure to add the Intel Logic and Power Group to your LinkedIn groups. Steve Leibson is a Senior Content Manager at Intel. He started his career as a system design engineer at HP in the early days of desktop computing, then switched to EDA at Cadnetix, and subsequently became a technical editor for EDN Magazine. He’s served as Editor in Chief of EDN Magazine and Microprocessor Report and was the founding editor of Wind River’s Embedded Developers Journal. He has extensive design and marketing experience in computing, microprocessors, microcontrollers, embedded systems design, design IP, EDA, and programmable logic.