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English(EN) Milestone: Ascend 910C Completes Full-Parameter Post-Training of 1.6 Trillion Parameter Model, Domestic AI Computing Crosses Key Threshold

中国使用国产昇腾910C芯片训练1.6万亿参数AI模型

作者 PulseAugur 编辑部 · [1 个来源] ·

包括深圳和合书院和华为在内的联合体已成功完成了一个1.6万亿参数AI模型的全参数后训练。这一成就标志着国产AI算力能力的重大里程碑。训练是使用华为的昇腾910C AI芯片进行的，展示了中国AI基础设施的进步。 AI

影响 展示了在国内训练大规模AI模型的重大进展，可能加速中国AI的发展和部署。

排序理由 该集群描述了使用特定硬件完成的重大AI训练里程碑，表明AI研究和基础设施的进步。[lever_c_demoted from research: ic=1 ai=1.0]

在 Pandaily 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

中国使用国产昇腾910C芯片训练1.6万亿参数AI模型

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该集群描述了使用特定硬件完成的重大AI训练里程碑，表明AI研究和基础设施的进步。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    里程碑：Ascend 910C 完成万亿级大模型全参数后训练，国产AI算力跨越关键门槛

    Shenzhen Hetao College, in collaboration with Harbin Institute of Technology (Shenzhen), the Shenzhen Big Data Research Institute, and Huawei, has achieved a landmark breakthrough in domestic AI computing. The consortium successfully completed ful...

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