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DeepSeek Open-Sources Six AI Development Tools to Reduce Huawei's Nvidia Dependence

DeepSeek Open-Sources Six AI Development Tools to Reduce Huawei's Nvidia Dependence
  • Foundation Models
  • Open Source
  • Infra & Chips

DeepSeek has released six open-source software tools designed to help Huawei's Ascend AI accelerators compete with Nvidia's hardware, marking a significant step in China's effort to build an independent AI computing ecosystem. Announced on September 30, 2026, via DeepSeek's official channels, the toolkit includes TileLang—a high-level programming language positioned as a simpler alternative to Nvidia's CUDA—alongside five complementary libraries: DeepGEMM, FlashMLA, TileKernel, DeepSelect, and DeepEP. The software was developed in partnership with Huawei and optimized for the Ascend 950 accelerator, supporting a supernode architecture capable of linking up to 128 chips.

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