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[GH-ISSUE #82] What is the internally and carefully optimized implementation based on CUTLASS 3.6? #47

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opened 2026-10-26 21:11:11 +00:00 by bsakaguchi · 1 comment
bsakaguchi commented 2026-10-26 21:11:11 +00:00
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Originally created by @lu229 on GitHub (Apr 9, 2025).
Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/82

I test deepGEMM on H20, and find it is faster than cutlass fp8 groupwise GEMM, but is slower than cutlass fp8 GEMM. I want to know What is the internally and carefully optimized implementation based on CUTLASS 3.6? Is it an internal version(support fp8 fine-grained GEMM) of DeepSeek?

Originally created by @lu229 on GitHub (Apr 9, 2025). Original GitHub issue: https://github.com/deepseek-ai/DeepGEMM/issues/82 I test deepGEMM on H20, and find it is faster than cutlass fp8 groupwise GEMM, but is slower than cutlass fp8 GEMM. I want to know What is the internally and carefully optimized implementation based on CUTLASS 3.6? Is it an internal version(support fp8 fine-grained GEMM) of DeepSeek?
bsakaguchi commented 2026-10-26 21:11:12 +00:00
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@soundOfDestiny commented on GitHub (Apr 10, 2025):

yeah we need fine-grained scaling

<!-- gh-comment-id:2791277841 --> @soundOfDestiny commented on GitHub (Apr 10, 2025): yeah we need fine-grained scaling
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