Artificial intelligenceJune 30, 2026· via The Decoder

China's AI Giant Meituan Breaks Nvidia Barrier with 1.6T Model

China's AI Giant Meituan Breaks Nvidia Barrier with 1.6T Model

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Meituan, China’s leading online service platform, has unveiled LongCat-2.0, a groundbreaking AI model with 1.6 trillion parameters trained exclusively on domestic hardware. This achievement marks a significant milestone, as the company reportedly bypassed reliance on Nvidia GPUs, traditionally dominant in large-scale AI training. The model, designed for tasks like natural language processing and recommendation systems, underscores China’s growing capability to develop cutting-edge AI infrastructure independently.

A Leap in Domestic Tech Capabilities

Training a model of this scale requires immense computational power, yet Meituan accomplished this using Chinese-made chips, a feat previously thought challenging without Nvidia’s hardware. While details about the specific chips remain undisclosed, the success highlights advancements in China’s semiconductor industry. Experts note that such a model’s training would demand specialized hardware for parallel processing and efficient memory management, areas where Chinese firms are increasingly competing globally.

Reshaping Global AI Competition

The development challenges assumptions about Nvidia’s indispensability in AI research. While Nvidia’s GPUs have long been the industry standard, Meituan’s success suggests alternative pathways exist. This could accelerate efforts by other Chinese companies to build self-reliant AI ecosystems, potentially reducing dependency on foreign technology. Analysts speculate that this trend may spur innovation in chip design and cloud infrastructure, further intensifying competition with Western tech giants.

Implications for the Future of AI

LongCat-2.0’s release signals a shift in how AI models are developed and deployed. By prioritizing domestic hardware, Meituan may set a precedent for other firms to follow, particularly in regions with export restrictions or supply chain vulnerabilities. However, challenges like energy consumption and algorithmic efficiency remain critical hurdles. As China continues to scale up its AI ambitions, the world watches closely to see how this model influences the global race for technological supremacy.


Source: The Decoder. AI-assisted editorial synthesis — TechnoExpress.

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