DeepSeek released an Ascend toolkit matching its Nvidia components: TileLang, DeepGEMM, DeepEP, TileKernels, FlashMLA and DeepSelect.

It says every TileLang kernel used in its training now has a high-performance Ascend implementation. TileLang powers most kernels in V4-series training.

DeepSeek and Huawei also jointly optimized a 128-card Ascend 950 supernode, with key compute and communication tests reportedly approaching hardware limits.

• TileLang: github.com/tile-ai/tilelang
• DeepGEMM Ascend: github.com/deepseek-ai/DeepGE…
• DeepEP Ascend: github.com/deepseek-ai/DeepEP…
• TileKernels: github.com/deepseek-ai/TileKe…
• FlashMLA: github.com/deepseek-ai/FlashM…
• DeepSelect: github.com/deepseek-ai/DeepSe…