{"slug": "huawei-unveils-3d-data-center-ai-clusters-could-scale-beyond-100000-cards", "title": "Huawei Unveils 3D Data Center: AI Clusters Could Scale Beyond 100,000 Cards", "summary": "Huawei unveiled a four-layer \"3D data center\" in Wuhu, Anhui province, on Tuesday, an architecture the company says is designed for AI supernode clusters containing more than 100,000 accelerator cards. Huawei Deputy Chairman and Rotating Chairman Wang Tao said Ascend supernode clusters with over 100,000 cards \"will become the basic configuration,\" while Senior Vice President Ren Shulu said server rack power has risen from several kilowatts to 100 kW and 200 kW. Huawei says more than 90% of mechanical and electrical systems can be prefabricated, cutting electromechanical delivery from about six months to three months, and that the Wuhu facility took about nine months versus the 18- to 24-month timelines cited for traditional builds.", "body_md": "AI data centers are getting so power-hungry that Huawei wants to start building them upward.\n\nThe Chinese technology giant unveiled a four-layer “3D data center” in Wuhu, Anhui province, on Tuesday, with cooling, computing equipment, power systems and backup power stacked vertically. Huawei says the architecture is designed for increasingly dense AI infrastructure, including supernode clusters containing more than 100,000 accelerator cards.\n\nThe approach comes as [AI hardware pushes conventional data centers](https://www.techrepublic.com/article/news-ai-networking-bottleneck/) toward much higher power densities. Huawei Senior Vice President Ren Shulu said server rack power has risen from several kilowatts to 100 kW and 200 kW, and is expected to continue increasing.\n\nHuawei Deputy Chairman and Rotating Chairman Wang Tao said, “The massive model with trillions of parameters and the rapidly growing demand for tokens place higher demands on AI infrastructure. Ascend supernode clusters with over 100,000 cards will become the basic configuration,” [according to Huawei Central](https://www.huaweicentral.com/huawei-3d-data-center/).\n\n## Huawei wants to build data centers more like products\n\nThe physical layout is only part of [Huawei’s pitch](https://www.techrepublic.com/article/news-huawei-mate-xt2-tri-fold-apac-china/). The company is also treating the data center more like a manufactured product than a traditional construction project.\n\nHuawei says more than 90% of the mechanical and electrical systems can be prefabricated, reducing electromechanical delivery from about six months to three months. The Wuhu facility took about nine months through its standardized construction process, compared with the 18- to 24-month timelines cited for traditional builds, [according to Pandaily](https://pandaily.com/huawei-3d-aidc-data-center-reference-architecture-wuhu).\n\nThe design also separates different infrastructure domains, which Huawei says can help isolate failures and allow computing hardware to be changed without rebuilding the facility’s underlying structure.\n\n“We treat the data center as a standard product that can be replicated at scale, rather than a bespoke engineering project,” said Shulu.\n\n### More must-read AI coverage\n\n- \n        [SS&C Intralinks DealCentre AI vs. Datasite: Which platform is built for the future of dealmaking?](https://www.techrepublic.com/article/dealcentre-ai-vs-datasite/)      \n- \n        [SS&C Intralinks FundCentre AI vs. Juniper Square: Which platform better supports modern private markets fund managers?](https://www.techrepublic.com/article/fundcentre-ai-vs-juniper-square/)      \n- \n        [Why Data, Not Models, Determines AI Success](https://www.techrepublic.com/sponsored/why-data-not-models-determines-ai-success/)      \n- \n        [The Rise of the AI-Native Factory: How Physical AI Is Transforming Manufacturing](https://www.eweek.com/a/artificial-intelligence/the-rise-of-the-ai-native-factory-how-physical-ai-is-transforming-manufacturing/)      \n\n## The bigger bet is standardization\n\nHuawei is not presenting the Wuhu facility simply as a showcase. It released a conceptual design library covering architecture, structures, HVAC, water systems, and electrical infrastructure, along with a book titled 3D Data Center.\n\nThe company says its cloud business is also deploying the architecture at its core hubs in Gui’an, Inner Mongolia and Wuhu.\n\nThe more interesting part of Huawei’s strategy is that it is trying to make [data center construction](https://www.techrepublic.com/article/news-data-center-pause-apac-thailand/) more like a repeatable hardware platform. If facilities can be prefabricated and computing equipment can be swapped as [new chip generations](https://www.techrepublic.com/article/news-meta-four-ai-chips/) arrive, operators could spend less time rebuilding infrastructure for each new AI generation.\n\nThat promise still has to survive real-world deployments. Operators will need to validate cooling reliability, power efficiency, maintenance procedures and compatibility with hardware from different vendors before treating Huawei’s architecture as a broadly applicable industry model.\n\n## What infrastructure leaders should watch\n\nFor data center operators and enterprise infrastructure teams, Huawei’s announcement signals a shift in how AI capacity may need to be planned. The useful question is no longer simply how many accelerators a facility can accommodate, but how easily the surrounding infrastructure can adapt when computing requirements change.\n\nThat puts greater weight on decisions that can outlive a particular generation of AI hardware: whether power and cooling capacity can expand independently, how much of a facility can be upgraded without major reconstruction, and whether operators can replace computing equipment without becoming locked into one vendor’s architecture.\n\nHuawei’s Wuhu project will provide an early test of that approach. The numbers to watch now are not just accelerator counts, but operating costs, energy use, deployment time, maintenance requirements and how frequently major infrastructure changes are needed as the hardware evolves.\n\nIf those measurements hold up across larger deployments, the lasting significance of the 3D data center may have less to do with stacking equipment vertically and more to do with making the building itself less of a constraint on the next generation of AI.\n\n**Related reading: For more on the infrastructure challenges behind increasingly powerful AI clusters, see how [power and cooling are being redesigned for the AI era](https://www.techrepublic.com/article/news-ai-data-centers-power-cooling-omdia/).**", "url": "https://wpnews.pro/news/huawei-unveils-3d-data-center-ai-clusters-could-scale-beyond-100000-cards", "canonical_source": "https://www.techrepublic.com/article/news-huawei-3d-data-center-ai-clusters/", "published_at": "2026-09-16 13:21:58+00:00", "updated_at": "2026-09-16 13:42:06.815964+00:00", "lang": "en", "topics": ["ai-infrastructure", "ai-chips", "ai-products"], "entities": ["Huawei", "Wuhu", "Anhui province", "Ren Shulu", "Wang Tao", "Ascend", "Gui'an", "Inner Mongolia"], "alternates": {"html": "https://wpnews.pro/news/huawei-unveils-3d-data-center-ai-clusters-could-scale-beyond-100000-cards", "markdown": "https://wpnews.pro/news/huawei-unveils-3d-data-center-ai-clusters-could-scale-beyond-100000-cards.md", "text": "https://wpnews.pro/news/huawei-unveils-3d-data-center-ai-clusters-could-scale-beyond-100000-cards.txt", "jsonld": "https://wpnews.pro/news/huawei-unveils-3d-data-center-ai-clusters-could-scale-beyond-100000-cards.jsonld"}}