GPUs have become immensely popular and helpful in many real-world use cases. This happened in a fraction of time that FPGA had to find a useful niche in the mar

GPUs have become immensely popular and helpful in many real-world use cases. This happened in a fraction of time that FPGA had to find a useful niche in the market. As a mostly outsider to the FPGA world, I conclude one of two is true: 1: FPGA performance gain is not meaningfully better than GPU 2: FPGA are so difficult to make efficient use of that the performance gain is seldom realized Which ever the case may be, GPGPU has significantly advanced the HPC space and FPGA has not. I don't see that ever changing unless one of the underlying variables changes. 2 years ago I saw a talk at a big-name conference about FPGA-accelerated SQL-like queries, it seemed cool, it was talked up as the next big thing in the data science space. I've never heard of it since that time, meanwhile we now have full SQL compliant GPGPU solutions. I'm not hung up on SQL or HPC, but it looks like FPGA never found anything it's truly great at while GPGPU has - across multiple domains.