FPGAs are Coming for AI Workloads

I’m not going to lie, when I saw the headline to this article, I thought it was going to talk about AMD starting to become a force in the ML/AI workload market. Instead it makes the much more cogent case that FPGAs and ASIC will supplement the industry’s need for GPUs to AI processing. Those with high volume and specialized workloads will be faster to supplant GPUs with more specialized silicon. But the general parallel processing capabilities of GPUs should keep them in use for AI workloads in the foreseeable future. It will be interesting to see what the lower cost efficiencies of FPGAs and ASICs will enable in this emerging field.

Kurt Marko comments:

Note that the entire market for AI acceleration hardware is expanding, so these new forms are so much displacing GPUs, at least initially, but supplementing them.

Read more at: Competition heats up for AI workloads: GPUs aka NVIDIA no longer the only option

About the author

Rich Stroffolino

Rich has been a tech enthusiast since he first used the speech simulator on a Magnavox Odyssey². Current areas of interest include ZFS, the false hopes of memristors, and the oral history of Transmeta.