The Ledger
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AMD MI300X outperforms Nvidia H100 on FlashAttention-2 and memory-bound workloads
“We found that it's great for flash attention to specifically, we were able to be H-one hundred. We also found that like the less time you spend in like dense compute, like the less time you spend in tensor cores specifically, or less time you spend in lower bi…”
Patel: AMD MI300 will beat Nvidia H100 on paper within a quarter
“AMD. They have a GPU. MI 300. That will be better than the H 100 in a quarter or so. Now, that says nothing about how hard it is to program it, but at least hardware-wise, on paper, it's better.”
AMD's Composable Kernel library offers functionality similar to Nvidia's CUTLASS
“And then on the AMD side, they have this composable kernel library that does something very similar.”
AMD MI300X GEMM performance increased from 400 to 650 TFLOPS via software
“So when MI 300 X first dropped, if you run like an MLP gem or something, you would get like 400 T flops. Now that number is, you know, more like six, 606 107 650 or so just in like the gem back ends themselves.”