By Che Pan, Casey Hall and Eduardo Baptista <\/p>\n
SHANGHAI\/BEIJING Sept 17 (Reuters) – Huawei Technologies will launch two new artificial-intelligence semiconductors in 2027, rotating chairman David Wang said on Thursday, as the Chinese \u200ctech giant builds up its AI computing business and seeks to challenge U.S. chipmaker Nvidia. <\/p>\n
Huawei plans \u200cto launch the 960DT in the first quarter of 2027 and the Ascend 960PR in the third quarter, Wang said. <\/p>\n
The company \u200bis also working on ways to connect very large numbers of AI chips, allowing them to work together as one bigger computing system. Most advanced AI programmes require more processing power than a single chip can provide. <\/p>\n
Wang said in a speech at a company even in Shanghai that Huawei’s UnifiedBus technology would be a key link \u200cin the company’s next generation of large \u2060AI systems. The technology is intended to help chips share information and work together more efficiently. <\/p>\n
Huawei has developed 11 semiconductors based on UnifiedBus technology for use in its \u2060large systems, Wang said. Its largest linked systems, which the company calls superclusters, can support up to 1 million AI processors, he added. <\/p>\n
Huawei has shipped more than 1,000 smaller linked systems, called supernodes, to more than 370 customers, \u200bWang \u200bsaid. A supernode is a system that brings together many \u200bAI chips to tackle the same task. \u200cWang did not say how many chips could be connected within a single supernode, name customers, or give a breakdown of shipments. <\/p>\n
HUAWEI PART OF CHINA’S AI PUSH <\/p>\n
The United States and China are competing to develop the chips, data centres and software that underpin artificial intelligence. <\/p>\n
Washington has imposed export controls that restrict China’s access to certain advanced computing chips and semiconductor manufacturing equipment, while Chinese companies and policymakers have placed greater emphasis on \u200cbuilding domestic alternatives. <\/p>\n
That has made the ability to connect chips \u200bincreasingly important for Chinese technology companies. <\/p>\n
If they cannot freely buy \u200bthe most advanced foreign chips, they can seek \u200bmore computing power by joining larger numbers of locally available chips in one system. \u200cBut that approach only works well if the \u200bchips can exchange information \u200bquickly enough. <\/p>\n
U.S. export controls have helped Huawei emerge as a prominent Chinese supplier of AI chips. Still, it faces a well-established market leader in Nvidia, whose hardware and software tools are widely used \u200bby developers around the world. <\/p>\n
A strong \u200cdeveloper base will be important to Huawei’s effort to make its hardware easier to use. \u200bWang said Huawei’s AI chip ecosystem had 5,270 monthly active developers. <\/p>\n
(Reporting by Casey Hall and \u200bPan Che; Editing by Muralikumar Anantharaman and Jacqueline Wong) <\/p>\n","protected":false},"excerpt":{"rendered":"
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