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中文(ZH) Qwen3.8首日可用,助力存量算力长期有用:智源FlagOS开源开放生态共享

Alibaba releases Qwen3.8-2.4T model, Flag OS enables multi-chip adaptation

Alibaba has open-sourced its largest and most capable model to date, Qwen3.8-2.4T-A95B, featuring a massive 2.4 trillion parameter MoE architecture with 95 billion active parameters. This release is accompanied by the Flag OS community's achievement of Day 0 multi-chip adaptation for the model across nine different AI chip architectures, including those from Alibaba's T-Head, Nvidia, and others. The Flag OS platform enables rapid adaptation of cutting-edge models to diverse hardware, significantly reducing the time from model release to multi-chip availability and extending the utility of existing AI compute resources through optimization and quantization techniques. AI

IMPACT Accelerates deployment of cutting-edge models on diverse hardware, enhancing the value of existing AI compute infrastructure.

RANK_REASON Frontier-lab model release with system card and multi-chip adaptation details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

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Alibaba releases Qwen3.8-2.4T model, Flag OS enables multi-chip adaptation

COVERAGE [1]

  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    Qwen3.8 available on day one, helping existing computing power remain useful long-term: ZHIYUAN FlagOS open source ecological sharing

    <p>阿里巴巴开源超大规模Mo E模型Qwen3.8-2.4T-A95B,众智Flag OS社区同步完成Day0多芯片适配。Qwen3.8-2.4T-A95B已在平头哥、英伟达、摩尔线程、华为昇腾、沐曦、昆仑芯、海光、清微智能、隧原等9家AI芯片上完成基于Flag OS统一开源技术栈的多芯适配、精度对齐与部署验证,针对不同芯片情况提供包括BF16FP8INT8等多种精度的版本,开发者可直接获取对应芯片的开箱即用方案。</p><p>从今年2月首次开展MiniCPM4.5-o模型的多芯片Day0适配,到今天实现Qwen3.8-2.4T模型在9款芯片上的Day…