# DeepSeek and Huawei Challenge Nvidia's AI Chip Dominance Chinese firms collaborate on software tools for advanced AI chips to reduce reliance on Nvidia. - **Source:** [NYTimes Technology](https://www.nytimes.com/section/technology) - **Published:** 2026-09-30 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/318cabf2-165e-47fb-9044-170b1f1bce35 ## Strategic partnership forms DeepSeek, an AI research firm, and Huawei, China's tech giant, have joined forces to develop software tools optimized for advanced AI chips. This collaboration directly targets Nvidia's dominance in AI hardware by creating alternatives that could work with domestic Chinese chips. The move aligns with China's broader push for technological self-sufficiency in critical sectors like artificial intelligence. ## Nvidia's market position at stake Nvidia currently controls approximately 80% of the AI chip market, with its CUDA software platform being the industry standard. Chinese companies have struggled to compete due to both hardware limitations and software ecosystem challenges. This new initiative aims to break Nvidia's software moat that has kept competitors at bay in the AI acceleration space. ## Focus on software compatibility The partnership will concentrate on developing software tools that can effectively utilize advanced chip architectures. Rather than just creating new chips, the emphasis is on building the necessary software layers to maximize performance of existing and future Chinese-designed processors. This approach recognizes that hardware alone cannot challenge Nvidia's position. ## China's self-reliance push This collaboration represents another step in China's multi-year effort to reduce dependence on foreign technology, particularly from U.S. companies. After facing export controls on advanced chips, Chinese firms are doubling down on creating complete domestic solutions that include both hardware and software components for AI applications. ## Potential market implications Success in this endeavor could reshape the global AI hardware landscape by providing viable alternatives to Nvidia's ecosystem. Chinese tech companies would gain access to high-performance AI solutions without relying on U.S. suppliers. However, the project faces significant technical challenges in matching Nvidia's mature software stack. ## Technical hurdles ahead Developing competitive AI software tools requires deep expertise in both chip architecture and machine learning frameworks. The partnership must overcome Nvidia's decade-long head start in optimizing software for AI workloads. Performance benchmarks will ultimately determine whether these new tools can gain traction among developers and enterprises. ## Geopolitical dimensions The initiative occurs amid ongoing U.S.-China technology tensions and export controls. By creating domestic alternatives, China aims to secure its AI development capabilities against potential future restrictions. The effort also supports China's ambition to become a global leader in artificial intelligence by 2030. ## Long-term industry impact If successful, this collaboration could fragment the AI hardware market and reduce Nvidia's pricing power. More competition might accelerate innovation while potentially lowering costs for AI developers worldwide. The project's progress will be closely watched as an indicator of China's ability to innovate in core technologies. ## Sources covering this story - https://www.nytimes.com/2026/09/30/business/china-ai-deepseek-huawei.html — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._