Chip war: Chinese start-up aims to break Nvidia’s grip on AI with new model framework
A team with ties to Tsinghua University has unveiled a new framework for building advanced AI models using Chinese-made chips
AI frameworks serve as the building blocks of sophisticated, intelligent AI models, offering a collection of libraries and tools that enable developers to design, train and validate complex models efficiently.
The Chitu framework, which has been open-sourced since Friday, supports mainstream models, including those from DeepSeek and Meta Platforms’ Llama series, according to the company.
When tested with the full-strength version of DeepSeek-R1 using Nvidia’s A800 GPUs, the framework achieved a 315 per cent increase in model inference speed while reducing GPU usage by 50 per cent compared to foreign open-source frameworks, the company said.
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Does the arrival of China’s low-cost DeepSeek mean the end of Nvidia’s chip dominance?
The initiative is part of a broader effort by Chinese AI companies to lessen dependence on Nvidia, whose high-performance GPUs are subject to US export controls. Nvidia is banned by Washington from selling its advanced H100 and H800 chips from the Hopper series to China-based clients.
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