[KongchangAI]
ConceptFP4 GEMM

NVFP4 GEMM

A general matrix multiplication implementation based on NVIDIA's NVFP4 format, which uses a 4-bit floating-point format with block-level scaling. It is a core computational primitive in deep learning inference and training, with native hardware support provided by NVIDIA in the Blackwell and Vera Rubin architectures.

Timeline (last 90 days)

Oct 4

ThunderKittens has been ported to the NVIDIA Vera Rubin NVL72 platform, with NVFP4 GEMM kernels reconstructed around the new hardware.

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Oct 4

ThunderKittens' NVFP4 GEMM performance has increased from previously only 42% of the roofline theoretical peak to over 22 PFLOPS.

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