Meituan Just Dropped a Trillion-Parameter Model Trained on 60,000 Domestic GPUs

Photo by Van Tien Le on Unsplash Meituan Just Dropped a Trillion-Parameter Model Trained on 60,000 Domestic GPUs - Not a Single NVIDIA Chip in Sight On April 24, Meituan quietly did something that should be on every AI developer’s radar. No press conference. No hype cycle. Just a testing invite page for LongCat-2.0-Preview - their next-generation foundation model. The specs: 1 trillion+ parameters. MoE architecture. 1M token context window. Trained on a cluster of 50,000 to 60,000 accelerator cards. But here’s the part that actually matters.