Dedicated ASIC is where all the hotness lies. Flexibility of FPGA doesn’t seem to overcome its overhead for most users. Not sure if it will change when custom ASIC becomes too expensive again, and all the magic money furnaces run out of bills to burn.
ASIC are single purpose at the benefit of potential power efficiency improvements. Not at all useful something like running neutral networks, especially not when they are being retrained and updated.
FPGAs are fully (re)programmable. There’s a reason why datacenters don’t lease ASIC instances.
Seriously. You realize that the most successful TPUs in the industry are ASICs, right? And that all the “AI” components in your phone are too? What are you even talking about here?
“Quick…we need to get everyone to buy our GPU-based bullshit before people figure out FPGA is wildly better”
Dedicated ASIC is where all the hotness lies. Flexibility of FPGA doesn’t seem to overcome its overhead for most users. Not sure if it will change when custom ASIC becomes too expensive again, and all the magic money furnaces run out of bills to burn.
ASIC are single purpose at the benefit of potential power efficiency improvements. Not at all useful something like running neutral networks, especially not when they are being retrained and updated.
FPGAs are fully (re)programmable. There’s a reason why datacenters don’t lease ASIC instances.
Um. lol What? You may want to do your research here, because you’re so far off base I don’t think you’re even playing the right game.
Ok, so you should just go ahead and tell all the ASIC companies then.
https://www.allaboutcircuits.com/news/intel-and-google-collaborate-on-computing-asic-data-centers/
https://www.datacenterfrontier.com/servers/article/33005340/closer-look-metas-custom-asic-for-ai-computing
https://ieeexplore.ieee.org/document/7551392
Seriously. You realize that the most successful TPUs in the industry are ASICs, right? And that all the “AI” components in your phone are too? What are you even talking about here?