[r/ML] [D] MXFP8 GEMM: Up to 99% of cuBLAS performance using CUDA + PTX

Summary

A new blog post by Daniel Vega-Myhre (Meta/PyTorch) details the MXFP8 GEMM design, demonstrating up to 99% of cuBLAS performance using CUDA + PTX for FP8 operations. This work provides deep insights into the constraints and challenges of MXFP8, a critical development for enhancing AI model efficiency. It enables faster pre-training, as exemplified by DeepSeek-V3 on B200, by leveraging reduced precision with minimal performance degradation.

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