Verified65% confidenceFactExact time
DeepGEMM is a high-performance matrix multiplication library designed by DeepSeek specifically for its MoE models, supporting low-precision formats such as bf16 and fp8.
3
Sources
65%
Confidence
Long-term
Relevance
5/27/2026
First Seen
Sources
SGLang v0.5.12.post1 Released: DeepSeek V4 Stability Fixes and Blackwell Adaptation
twitterlmsysorg5/27/2026
Related Entities
Related Claims
UnverifiedDeepSeek open-sourced DeepGEMM Ascend edition, a BLAS-level GEMM operator library specifically designed to run on Huawei Ascend hardware.80% similarUnverifiedThe six components have distinct roles: DeepGEMM accelerates general matrix operations, DeepEP handles large-scale cross-device communication, TileKernels provides common vector computation and memory access operators, FlashMLA provides sparse attention operators, and DeepSelect performs efficient data selection.77% similarUnverifiedDeepGEMM is a GPU matrix operation (BLAS) kernel library open-sourced by the DeepSeek team, written in CUDA.77% similarUnverifiedDeepGEMM Ascend edition approaches the hardware limit through a thin abstraction layer encapsulating Ascend's underlying matrix interfaces, along with hardware asynchronous data loading and diagonal pipeline tiling.75% similarUnverifiedDeepGEMM corresponds to cuBLAS, responsible for optimizing the matrix multiplication calculations that are core to AI.74% similar
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