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中文(ZH) 摩尔线程完成DeepSeek-V4全链路工程化适配

Moore Threads completes full-link engineering adaptation for DeepSeek-V4

Moore Threads has successfully adapted the DeepSeek-V4 large language model to run on its flagship AI training and inference accelerator card, the MTT S5000. This integration was achieved using the company's proprietary MUSA software stack and the open-source SGLang inference framework. The successful validation demonstrates Moore Threads' capability to support advanced AI models on its hardware. AI

IMPACT Enables broader hardware options for running advanced LLMs like DeepSeek-V4.

RANK_REASON Adaptation of an existing model to new hardware infrastructure.

Read on 36氪 (36Kr) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Moore Threads completes full-link engineering adaptation for DeepSeek-V4

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Adaptation of an existing model to new hardware infrastructure.
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model release, infra
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148 days old
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COVERAGE [1]

  1. 36氪 (36Kr) TIER_1 中文(ZH) ·

    Moor Threads Completes Full-Link Engineering Adaptation of DeepSeek-V4

    5月1日,摩尔线程宣布,依托旗舰级AI训推一体智算卡MTT S5000与自研MUSA软件栈,基于SGLang开源推理框架,已完成DeepSeek-V4的完整运行验证。(界面)