In a post on its official WeChat account, DeepSeek said it was open-sourcing programming infrastructure for Huawei’s Ascend platform, including compute and communication libraries.
The announcement came two weeks after Huawei unveiled its next generation of AI processors and supernode computing systems and said it expected its AI systems to be widely used for model training next year.
DeepSeek said Huawei provided full support in developing the programming infrastructure, and the two companies jointly advanced a “supernode” solution based on 128 Ascend 950 chips, optimising both computation and communication.
DeepSeek also highlighted the role of TileLang, a high-level open-source programming language for AI chips, in improving development efficiency and simplifying code logic.
“To build a new generation of independent, self-controlled GPU software ecosystems, the first priority is establishing a high-level language that is universal, easy to program, and still capable of reaching the hardware’s full performance potential,” DeepSeek said.
“TileLang was created precisely to meet this need,” and offers “a simpler programming model” than Nvidia’s CUDA, DeepSeek said.
