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DeepSeek V5 to Train on Huawei Ascend 950 Chips Next Year

DeepSeek plans to use Huawei’s Ascend 950 chips as the core training compute for its next-generation DeepSeek V5 model, with the project targeted for launch next year, people familiar with the supply chain said. The companies’ core R&D integration team is based in Hangzhou, and the two sides completed extensive low-level operator adaptation and custom development during the V4 stage. Ascend compute handled only inference in DeepSeek’s previous model generation; V5 would be its first model trained natively on Ascend 950.

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AI take

The shift from inference to native training is the substantive part: inference is a narrower, more forgiving workload, while training on domestic silicon tests whether the Ascend software stack can carry a frontier-scale model end to end. The V4-stage operator adaptation suggests this is an incremental build rather than a cold start, which matters for how credible the timeline is. The open question is whether native Ascend training becomes a repeatable pattern across future model generations, or remains a single-project arrangement.

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