English(EN) China's 1.6-Trillion-Parameter LongCat-2.5 Was Trained Without a Single Nvidia GPU

中国LongCat-2.5 AI模型使用国产硬件训练，绕过英伟达

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-15 15:35

美团发布了LongCat-2.5，一个拥有1.6万亿参数、专为智能体和长上下文任务设计的AI模型，并以MIT许可证发布。值得注意的是，该模型完全在中国硬件上训练，特别是华为昇腾加速器，无需英伟达GPU。美团声称在某些基准测试中，其性能可与上一代前沿模型如Claude Opus-5和GPT 5.6 "Sol"相媲美，但独立排行榜显示其性能更接近上一代能力。 AI

影响展示了中国在无需西方硬件的情况下训练大型AI模型的能力，可能对全球AI发展和供应链产生影响。

排序理由前沿实验室模型发布，附带系统卡。[lever_c 从 frontier_release 降级：ic=1 ai=1.0]

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Newsworthiness bucket: Significant; 前沿实验室模型发布，附带系统卡。[lever_c 从 frontier_release 降级：ic=1 ai=1.0]
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dev.to — LLM tag TIER_1 English(EN) · Ai Game Changer Pro · 2026-11-15 15:35

中国1.6万亿参数模型LongCat-2.5的训练未使用一块英伟达GPU

<p>China's open-weight AI labs keep closing the gap — and this time the hardware story matters as much as the model. Meituan, the Chinese food-delivery and e-commerce giant, has released the weights for LongCat-2.5, a 1.6-trillion-parameter model built for AI agents, under the pe…

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报道来源 [1]

中国1.6万亿参数模型LongCat-2.5的训练未使用一块英伟达GPU

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