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Huawei Launches AI Computing System to Rival Nvidia
China’s Huawei Technologies unveiled an AI computing system on Saturday that an industry expert says rivals Nvidia’s most advanced product, as the company aims to expand its footprint in the country’s booming AI sector.
The CloudMatrix 384 system made its public debut at the World Artificial Intelligence Conference (WAIC), a three-day event in Shanghai, attracting a large crowd to Huawei’s booth with its showcase of cutting-edge AI innovations.
The system has attracted significant interest from the global AI community since Huawei (HWT.UL) first introduced it in April. Industry analysts see it as a direct challenger to Nvidia’s GB200 NVL72, the most advanced system-level offering currently available from the U.S. chipmaker.
In an April article, Dylan Patel, founder of semiconductor research firm SemiAnalysis, stated that Huawei now possesses AI system capabilities that could surpass those of Nvidia.
Huawei staff at its WAIC booth declined to comment when asked to introduce the CloudMatrix 384 system. A spokesperson for Huawei did not respond to questions.
Huawei has become widely regarded as China’s most promising domestic supplier of chips essential for AI development, even though the company faces U.S. export restrictions. Nvidia CEO Jensen Huang told Bloomberg in May that Huawei had been “moving quite fast” and named the CloudMatrix as an example.
The CloudMatrix 384 system features 384 of Huawei’s latest 910C chips and, according to SemiAnalysis, surpasses Nvidia’s GB200 NVL72 in certain performance metrics, despite the latter using 72 B200 chips.
SemiAnalysis attributes this performance advantage to Huawei’s strong system design, which offsets the lower power of individual chips by leveraging a greater number of them and incorporating system-level innovations.
Huawei describes the system as utilizing a “supernode” architecture that enables ultra-high-speed interconnectivity between chips. In June, Huawei Cloud CEO Zhang Pingan confirmed that the CloudMatrix 384 was already operational on Huawei’s cloud platform.
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