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I thought it was because the number logic elements in a GPU is orders of magnitude higher than in a FPGA, rather than just processing speed. And GPU processing
by jgalt212 8mo ago
I thought it was because the number logic elements in a GPU is orders of magnitude higher than in a FPGA, rather than just processing speed. And GPU processing is inherently parallel so the GPU beats the FPGA just based on transistor count.
- dogma1138 8mo agoWith FPGA you are sacrificing performance for flexibility you are far less efficient in transistors for any given task than with a dedicated ASIC even if it’s a general compute ASIC like a GPU is today. The reason no one is building large FPGAs is that there is no market for them. If an H200 scale FPGA was viable we would have one.