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Baidu's Kunlunxin M300 to launch next year, multi-chip lineup based on new N architecture coming in 2028

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At the opening ceremony of Baidu World 2026 on November 12, Baidu founder 李彦宏 said AI compute demand has shifted from being training-dominated to a balance of training and inference, with the scaling of agent applications driving an explosion in inference demand. Kunlunxin outlined its product roadmap: the M100 has launched on schedule, the M300 will arrive next year, and in 2028 multiple chips based on a new N architecture will reach the market to match differentiated application scenarios.

Translation(model translation, not the source's own text)

Baidu Kunlunxin M300 to Launch Next Year, Multiple Chips Based on All-New N Architecture to Be Released in 2028

IT Home, November 12, on-site report: At the opening ceremony of Baidu World 2026 held today (November 12), Baidu founder 李彦宏, speaking about AI chips, said that in the past AI computing demand was mainly driven by training, whereas now training and inference are equally important, and in particular the scaling of agent applications has driven an explosive surge in inference computing demand. "We believe that inference will become the main driver of long-term sustained growth for AI chips."

IT Home learned at the conference site that Kunlunxin introduced its next product plans. Currently, the M100 has been launched on schedule, and the M300 will be launched next year. Among them, the M100 focuses on extreme cost-effectiveness; while the flagship M300 achieves an all-round leap in capabilities across multiple dimensions such as computing power, storage, and interconnect.

By 2028, multiple chips based on the all-new N architecture will also be brought to market, precisely matching differentiated application scenarios.

李彦宏 said that Baidu has always been a company that believes in technology and is willing to invest for the long term. "Kunlunxin is the result of our more than ten years of persistent investment, and its commercial value is gaining increasingly broad recognition."

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