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China's LongCat-2.5 AI model trained on domestic hardware, bypassing Nvidia

Meituan has released LongCat-2.5, a 1.6-trillion-parameter AI model designed for agents and long-context tasks, under an MIT license. Notably, the model was trained entirely on Chinese hardware, specifically Huawei Ascend accelerators, bypassing the need for Nvidia GPUs. While Meituan claims competitive performance against previous-generation frontier models like Claude Opus-5 and GPT 5.6 "Sol" on certain benchmarks, independent leaderboards suggest it aligns more with prior-generation capabilities. AI

IMPACT Demonstrates China's capability to train large AI models without Western hardware, potentially impacting global AI development and supply chains.

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

Read on dev.to — LLM tag →

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

China's LongCat-2.5 AI model trained on domestic hardware, bypassing Nvidia

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Signal score
64 / 100
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Newsworthiness bucket
Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Ai Game Changer Pro ·

    China's 1.6-Trillion-Parameter LongCat-2.5 Was Trained Without a Single Nvidia 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…