That's also a CPU that came out four years later than the A100. The contemporaneous B200 is not optimized for FP32 and does 74.45 TFLOP/s. For FP16 it's at ~2 PFLOP/s.
replyEPYC 9965: 614GBps of 12-channel DDR5-6400
replyA100: 1935GBps of HBM2e
Most of those FLOPS are constrained by memory bandwidth.
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replyA100: 312 TFLOP/s for FP16
replybut it is very impressive how far modern CPUs get as well (also in smart phones!)
Intel Xeon 6980P: 128 cores x 1024 FP16 FLOP/cycle/core x 3.2 GHz: 419 TFLOP/s
replyI'm not saying "GPU more brrt than CPU"
replyI found the comparison interesting
on Intel Xeon 690P with 419 TFLOP/s it is still (maybe even more?) interesting to ask:
how much throughput can you reach with Python, Python with lib x, y, z, with C++ like this, with C++ like that etc etc and why?
no?
No one in their right mind would use pure Python to do matrix multiplication. It’s like using a screwdriver to hammer nails into wood.
replyBut this discussion is even more bizarre than comparing a screwdriver to a hammer, it’s like comparing a screwdriver to a nail.