Chinese AI chipmaker Iluvatar CoreX says new GPU matches Nvidia’s H200 as chip gap closes
Chinese chipmaker Iluvatar CoreX claims its new Tiangai 300 graphics processing unit (GPU) can match and even outperform Nvidia’s H200 in real-world artificial intelligence workloads. The Shanghai-based firm reportedly demonstrated the Tiangai 300’s capabilities in complex multimodal tasks, including text-to-image and text-to-video generation, for mainland Chinese media outlets.
Iluvatar CoreX, a Chinese AI chipmaker, states its new Tiangai 300 GPU offers performance comparable to, or exceeding, Nvidia’s H200. Graphics Processing Units are specialized chips essential for accelerating the intensive calculations required by AI models, making them critical components for advanced AI applications. The H200 is a high-performance GPU from a leading US chip manufacturer, often considered a benchmark in the industry.
The company's claim is based on a live demonstration for mainland Chinese media, where the Tiangai 300 reportedly outperformed the H200. This comparison focused on 'complex multimodal tasks,' which involve AI models processing multiple data types simultaneously, such as generating images or videos from text descriptions. Specific examples included text-to-image and text-to-video generation using advanced AI models like Z.ai’s GLM-5.3, according to a report by Chinese tech media outlet Xinzhixun.
Such reported performance in multimodal AI tasks indicates the Tiangai 300’s potential for demanding applications in areas like content creation and advanced AI research. The ability to handle these complex workloads efficiently is critical for developers building and deploying frontier AI models. However, the reported advantage stems from a company demonstration and has not been independently verified by external benchmarks or third-party evaluations.
The direct comparison to Nvidia's H200 by a domestic player like Iluvatar CoreX highlights ongoing efforts within China to develop high-performance AI hardware. This aligns with broader strategic goals for technological self-sufficiency in critical sectors like semiconductors, especially as the demand for advanced AI chips continues to grow across Asia.
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