GPUs vs FPGAs

GPUs vs. FPGAs - dive into the pros and cons of both as they continue to play a big part in the development of #AI-based applications. #investing #vctok #VentureCapital #moneytok #StartUps #VC #Innovation #investinghacks #founders #VCinsights #Entrepreneurs #GPU #FPGA

[ItsCOMMANDer_]

Also you cant compare fpga and gpu like tgta. Fpga is a kind of specual hardware while gpu is just the name of a job for a puece of silicon with transistors in specific aragements and the fpgas where probably 0rogrammed to perform the same task as tge gpu but more wfficent at the things it has to do and left out crrtiant fetures wich a gpu might have

[valtoo]

I don't think we will see FPGA in ai based application at scale. The main issue with AI now is raw compute power. An fpga is bad, really bad at raw compute power. They advantage are the flexibility and reconfigurability at reasonable cost. You want an FPGA where an ASIC is not cost effective. Not for crunching millions of numbers.