Sep 30, 2026 · Artificial Intelligence

DeepSeek Releases 6 Ascend AI Kernels: TileLang, DeepGEMM, FlashMLA & More

DeepSeek open-sources six low-level libraries for Huawei Ascend 950, covering operator DSL, matrix multiplication, MoE communication, sparse attention, and TopK selection, with reported near-peak hardware performance but requiring version-specific integration.

AI kernelsDeepEPDeepGEMM

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DeepSeek Releases 6 Ascend AI Kernels: TileLang, DeepGEMM, FlashMLA & More

AI Open-Source Efficiency Guide

Jun 12, 2026 · Artificial Intelligence

MiniMax Open-Source MSA: High‑Performance Attention Kernels Optimized for NVIDIA SM100

MiniMax Sparse Attention (MSA) is an open‑source library that delivers high‑performance dense and block‑sparse attention operators for NVIDIA SM100 GPUs by combining a Jinja‑based csrc JIT stack with a Cutlass Python DSL (CuTe‑DSL), enabling low‑precision quantization, paging support, and seamless migration from dense code.

AI kernelsCuTe-DSLCutlass

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MiniMax Open-Source MSA: High‑Performance Attention Kernels Optimized for NVIDIA SM100