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Shenzhen Successfully Trains Trillion-Parameter AI Large Model with Domestic Chips
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Shenzhen announced that the AI training platform project team of Hetao College in Shenzhen has recently joined forces with Harbin Institute of Technology (Shenzhen), Shenzhen Institute of Big Data, relevant Huawei teams, and leveraged the Shenzhen Smart City AI computing power platform to conduct joint research on large-model training based on domestic computing power. Relying on the Ascend 910C domestic AI computing cluster, the team completed full-parameter post-training of the 1.6 trillion-parameter large model DeepSeek-V4-Pro. Trillion-parameter large models represent the mainstream frontier in the field of artificial intelligence, demonstrating outstanding performance in logical reasoning, mathematical computation, code generation, and long-text comprehension. Full-parameter training of such models imposes stringent requirements on hardware computing power, cluster stability, and algorithm adaptation and optimization. Going forward, Hetao College in Shenzhen will collaborate with ecosystem partners to continuously enhance the performance of computing clusters, explore technologies in areas such as long-text processing and AI agents, further unlock the potential of domestic computing power applications, and promote the steady development of the artificial intelligence industry. (jl/da) Auto-translated by AI This article was automatically translated by AI, the original language version should be considered the authoritative version. AASTOCKS.com Limited does not guarantee its accuracy or completeness and accepts no liability for any damages or losses arising from the use of this translation. More Details
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