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Huawei is ramping up its push in artificial intelligence hardware, aiming to deploy massive AI “SuperClusters” both domestically and internationally as it seeks to rival Nvidia’s lead in high-performance computing. The approach is based not just on new chips but also on scale, speed, and connectivity. Huawei concedes that its processors are not as fast as Nvidia’s on a per-chip basis. But it believes it can close the gap by stringing together thousands, ultimately, millions, of chips. Huawei unveils bold AI roadmap Huawei’s rotating chairman, Eric Xu, unwrapped a three-year strategic plan to outline what it will take for the company to achieve its AI goals at the annual Huawei Connect conference. The Ascend 950 series will come in 2026, delivering two models for different AI workloads. Additionally, the Ascend 960 will come in 2027. By 2028, Huawei hopes to release the Ascend 970 with interconnect speeds of four terabits a second, more than double what Nvidia can do today. Huawei also announced that it has developed its own high-bandwidth memory, which the company hopes will reduce reliance on foreign suppliers. This step is important because US sanctions have cut off the company’s access to the world’s leading chipmakers and memory suppliers. “By making this roadmap public, Huawei is signaling to the market that it has confidence in its supply chain and a long-term commitment to developing an end-to-end chip ecosystem,” wrote Bernstein Research analysts. In addition to its chip roadmap, the firm unveiled a new generation of Atlas SuperPoD systems that will form the basis of its AI strategy among data-center scale platforms. The Atlas 950 SuperPoD will include over eight thousand Ascend processors, while the eventual Atlas 960 SuperPoD in 2027 will span over fifteen thousand processors. These systems are built to be aggregated into larger clusters. Atlas…

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Filed under: News - @ September 23, 2025 10:28 am