Meituan trains 1.6T MoE model entirely without Nvidia GPUs
Meituan just open-sourced LongCat-2.0, a massive 1.6-trillion-parameter MoE model that ditches Nvidia hardware entirely. The pretraining run spanned over 35 trillion tokens on dedicated AI ASIC superclusters without irrecoverable loss spikes, matching frontier models across coding and agent tasks. Why it matters: It proves cutting-edge AI can be trained at scale on alternative chips.