DeepGEMM

What it does

DeepGEMM, from DeepSeek, is an open-source library for highly optimized FP8 GEMM kernels on Hopper GPUs. Clean codebase (~300 LOC), JIT-compiled, no heavy dependencies.

DeepGEMM: clean and efficient BLAS kernel library on GPU - deepseek-ai/DeepGEMM

DeepGEMM is a unified, high-performance tensor core kernel library that brings together the key computation primitives of modern large language models — GEMMs (FP8, FP4, BF16), fused MoE with overlapped communication (Mega MoE), MQA scoring for the lightning indexer, HyperConnection (HC), and more — into a single, cohesive CUDA codebase. All kernels are compiled at runtime through DeepJIT, requiring no CUDA compilation during installation. DeepGEMM leverages some concepts from CUTLASS and CuTe , but avoids heavy reliance on their templates or algebras. The library is designed for simplicity, with only a limited number of core kernel functions, making it a clean and accessible resource for…from github.com

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