# Meituan Trains LongCat-2.0 on Domestic 50,000-Chip Cluster > Source: > Published: 2026-06-30 12:42:44+00:00 Industry context: Demonstrations of end-to-end training on home-grown hardware affect how practitioners assess supply-chain risk, performance trade-offs, and reproducibility. Reuters reports Meituan released and open-sourced a new large language model, LongCat-2.0, which multiple outlets report carries **1.6 trillion parameters** and a **1 million-token** context window. The Next Web quotes Meituan describing LongCat-2.0 as "the industry's first trillion-parameter model to complete end-to-end training and inference on a 50,000-chip domestic compute cluster." Reuters and SCMP report the model was trained from scratch on a **50,000-chip** cluster powered by Chinese-made processors and that Meituan published the weights. CNA and SCMP note Meituan did not disclose which domestic chipmaker supplied the hardware.