HUAWEI
Huawei Cloud providing AI computing results At the Huawei Connect event in Shanghai, China in September 2025, Zhang Ping’ an, Huawei’ s Executive Director of the Board and CEO of Huawei Cloud, described how enterprises need AI computing results rather than infrastructure management during his keynote titled Huawei Cloud: Fostering the Fertile Ground for Compute, Empowering AI Pioneers for Industries. Huawei Connect, held September 18-20 at the Shanghai World Expo Exhibition and Convention Centre gathered approximately 15,000 attendees from around the world.
“ Huawei Cloud’ s AI Token Service abstracts away the underlying technical complexity and directly provides users with the final AI computing results,” Zhang says.
CloudMatrix supernode specifications will be upgraded from 384 cards to 8,192 cards, supporting hyperscale clusters running on 500,000 to one million cards. The CloudMatrix384 supernode pools compute, memory and storage resources whilst converting serial tasks into distributed parallel tasks. In online, nearline and offline inference scenarios, CloudMatrix384 delivers average inference performance per card three to four times that of H20, Huawei says.
Huawei Cloud has deployed fully liquid-cooled AI data centres in Guizhou, Inner Mongolia and Anhui, supporting 80kW heat dissipation per cabinet and reducing power usage effectiveness( PUE) to 1.1.
HUAWEI CLOUD AT A GLANCE
Global Footprint: Huawei Cloud spans 101 availability zones( AZs) in 34 Regions and serves customers in more than 170 countries and regions.
Developer and Partner Ecosystem: Over 8.5 million developers and 50,000 partners have joined the Huawei Cloud ecosystem
Broad Industry Reach: Huawei Cloud has launched over 600 joint solutions with partners, spanning diverse industry scenarios. More than 8,000 partners have registered with KooGallery and released over 12,000 offerings, covering more than 10 industries such as manufacturing, education, government, and finance.
During the industries summit, Huawei Cloud also showcased how it has developed both open-source and closed-source versions of its Pangu models. The company uses openPangu to provide practices for AI training and inference, while developing the closed-source Pangu Model for specific applications. The models have been applied in more than 500 scenarios across more than 30 industries, including government services, finance, manufacturing, healthcare, coal mining, steel, railways, autonomous driving and meteorology.
“ Huawei will continually increase investment in Pangu Models, constantly study industry scenarios to better
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