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AMD Expands Ryzen AI 400 to Desktop and Mobile, Targeting Copilot+ PCs

Google 우선 소스Published2026.03.04 09:49

At MWC 2026, NPUs are expected to deliver up to 50-60 TOPS, with OEM PCs like HP and Lenovo expected to follow in the second quarter.

As the AI PC race intensifies, PC manufacturers are emphasizing "on-device" computing performance, enabling AI tasks to be processed within the device itself rather than in the cloud. AMD is responding with a new processor that extends the Copilot+ PC trend to the desktop.

At 'MWC Barcelona 2026 (2nd-5th)' held in Barcelona, Spain on March 2nd (local time), AMD announced that it has expanded its AI PC portfolio by unveiling the 'Ryzen AI 400 Series' and 'Ryzen AI PRO 400 Series' desktop processors.

According to AMD, the Ryzen AI 400 desktop is positioned as a “next-generation desktop AI PC” product line that supports Microsoft’s Co-Pilot+ PC experience with NPU (Neural Processing Unit) performance of up to 50 TOPS. AMD explained that it is designed with a combination of Zen 5 CPU, RDNA 3.5 graphics, and XDNA 2 NPU.

The release method is OEM-centric. AMD expects AM5-based Ryzen AI 400 desktop systems to be available from OEMs such as HP and Lenovo starting in the second quarter of 2026. The revealed models include the 'Ryzen AI 7 450G/450GE', 'Ryzen AI 5 440G/440GE', and 'Ryzen AI 5 435G/435GE' with 6 to 8 core configurations, and a PRO model with added enterprise features was also presented.

On the mobile front, the Ryzen AI PRO 400 will expand to enterprise notebooks and mobile workstations. AMD announced that the PRO 400 mobile processor's NPU delivers up to 60 TOPS and added that OEM partners are preparing new commercial notebooks and workstations. AMD expects mobile workstations to be released starting in the second quarter of 2026 from companies like Dell, HP, and Lenovo.

AMD also highlighted its "AMD PRO" platform, targeting the enterprise market. AMD explained that it is designed to enhance visibility, recovery, and control by verifying security solution compatibility and strengthening remote management capabilities in distributed AI PC environments, and to support diagnosis and recovery without on-site visits.
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