DeepSeek partners with Huawei on open-source programming infrastructure
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DeepSeek has announced a new partnership with the Chinese tech giant Huawei to develop programming tools optimised for its AI chips. Together, the two firms have established a new "supernode" solution formed from 128 Huawei Ascend 950 chips and worked to establish new Huawei-optimised programming tools. The move reduces DeepSeek's dependence on Nvidia's ecosystem, particularly its CUDA parallel computing platform. CUDA has become one of the core underlying layers of the world's most popular AI libraries, since it allows developers to use the full power and throughput of a graphics processing unit (GPU) for the mathematical computations necessary in AI training. DeepSeek and Huawei have developed a new toolkit based on the open-source GPU programming language TileLang, to allow for rapid development of AI for Huawei chips that is not dependent on Western hardware or software libraries. In a statement, DeepSeek said: "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." The firm added that TileLang meets this need and is simpler to use than Nvidia's CUDA. DeepSeek has committed to open-sourcing the programming tools alongside libraries that cover compute and communication. This...
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