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Meituan trains 1.6T coding model on Chinese ASICs, bypassing Nvidia

Meituan has released LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts model designed for agentic coding tasks. Notably, the model was trained entirely on domestic Chinese AI ASICs, avoiding Nvidia hardware. LongCat-2.0 features a novel sparse attention mechanism for million-token contexts and demonstrates competitive performance against leading closed-source models on software engineering benchmarks. AI

IMPACT Demonstrates viability of training large models on non-Nvidia hardware, potentially diversifying AI infrastructure and lowering costs.

RANK_REASON New frontier model release from a major tech company (Meituan) with significant infrastructure and technical details. [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 →

Meituan trains 1.6T coding model on Chinese ASICs, bypassing Nvidia

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0 / 100
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Significant
New frontier model release from a major tech company (Meituan) with significant infrastructure and technical details. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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model release, infra
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High
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47 days old
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Prabhakar Chaudhary ·

    LongCat-2.0: How Meituan Trained a 1.6T-Parameter Coding Model Without a Single Nvidia GPU

    <h1> LongCat-2.0: How Meituan Trained a 1.6T-Parameter Coding Model Without a Single Nvidia GPU </h1> <p>Meituan — best known in China as a food delivery and super-app company — quietly ran one of the most technically ambitious open-weight model releases of 2026. LongCat-2.0 is a…