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MEITUAN DEBUTS CHINA’S BIGGEST AI MODEL TRAINED ON LOCAL CHIPS - 1.6T parameters · MoE with ~48B active · 1M context - Both the full traini…

MEITUAN DEBUTS CHINA’S BIGGEST AI MODEL TRAINED ON LOCAL CHIPS - 1.6T parameters · MoE with ~48B active · 1M context - Both the full training run and the large-scale deployment are built entirely on AI ASIC superpods. - LongCat-2.0 is pre‑trained on over 50K AI ASICs (No GPUs). - it used the Huawei Collective Communication Library (HCCL) to improve training stability. HCCL is a chip‑to‑chip communication system similar to the Nvidia Collective Communication Library (NCCL). - Competing models like DeepSeek‑V4‑pro relied on domestic chips only for inference, Meituan utilized domestic hardware for both inference and the highly intensive pre‑training phase. - Because the domestic accelerators possess less per‑device memory than an Nvidia H800 (80 GB), Meituan address this challenge along two dimensions: parallelism strategy and memory management. More:
MEITUAN DEBUTS CHINA’S BIGGEST AI MODEL TRAINED ON LOCAL CHIPS - 1.6T parameter…
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