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Huawei Unveils Peerium Computing Architecture for AI Era, Aiming to Unite a Million ProcessorsCole Palmer Temporarily Banned on Twitch After Streaming EA Sports FC 27 EarlyStocks rebound after Fed sell-off as Intel, Micron jump; Boeing slips on 737 Max output delayScammers Use AI and Distribution Loophole to Post Fake Songs on Real Artists’ Streaming PagesSkillsync and AutoBot Post Agent Workflow Tools on Hacker NewsXPeng Launches G9L Five-Seat SUV From 231,800 Yuan as President Says 'No Rival at This Price'
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Huawei Unveils Peerium Computing Architecture for AI Era, Aiming to Unite a Million Processors

Huawei announced Peerium, an AI-era computing architecture it says can make a million processors act as one computer. The company also introduced Lingqu interconnect and said the Atlas 950 supernode is its first product.

AI News Feed · 2026-09-18 03:08

Huawei said Peerium is based on nested parallelism, unified memory addressing and equal interconnection, and is designed for strong scaling across a million processors. It breaks from the Turing paradigm with Nested BSP, and it breaks from the von Neumann single-machine architecture, the company said. The architecture also overturns the long-standing master-slave model, allowing a million processors to truly become one larger computer.

Lingqu is the key interconnect technology for Peerium. According to Huawei, Lingqu is an open protocol that provides an infinitely scalable high-speed bus connecting CPUs, NPUs, memory, SSDs, network cards and switches. With Lingqu, computing, storage and networking can be interconnected on an equal basis, the company said.

Atlas 950 supernode is the first-generation product of the Peerium computing architecture. Huawei said a 256,000-card Atlas 950 supernode cluster is already being deployed, and an NPO-based Atlas 960 system is in testing.

Huawei rotating chairman Xu Zhijun said: “In the AI era, Huawei, based on the pioneering Peerium computing architecture, will continue to build supernodes and clusters that meet customers’ training and inference requirements, making computing ubiquitous and intelligence accessible everywhere.”