AMD expands Ryzen AI 400 Series portfolio with new desktop and PRO processors at MWC 2026

AMD Ryzen AI PRO 400 Series desktop processor shown with exposed pin grid array and Ryzen PRO branding on the heatspreader. (Source: AMD)

At Mobile World Congress 2026 in Barcelona, AMD announced an expansion of its Ryzen AI PC lineup with the introduction of the Ryzen AI 400 Series and Ryzen AI PRO 400 Series processors. The new chips target next-generation AI PCs, including systems designed to support Copilot+ PC experiences, while extending AMD’s AI-focused platform across desktops, notebooks, and mobile workstations.

According to AMD, the Ryzen AI 400 Series represents its first desktop processor family built specifically for next-generation AI PC workloads. The processors integrate Zen 5 CPU cores, RDNA 3.5 graphics, and an XDNA 2 neural processing unit capable of delivering up to 50 TOPS of AI performance. This allows AI-assisted features and productivity tools to run locally on the device, reducing reliance on cloud processing and keeping sensitive data on the PC.

Diagram highlighting the CPU, GPU and NPU components inside an AMD Ryzen AI PRO processor, illustrating on-device AI acceleration architecture. (Source: AMD)
Diagram highlighting the CPU, GPU and NPU components inside an AMD Ryzen AI PRO processor, illustrating on-device AI acceleration architecture. (Source: AMD)

AMD says the expanded portfolio enables OEMs to introduce a broader range of AI PCs across multiple form factors, including high-performance desktops, laptops, and professional workstations. Desktop systems based on the Ryzen AI 400 Series are expected to use the AM5 platform and are scheduled to arrive from OEM partners such as HP and Lenovo starting in the second quarter of 2026.

Model Cores / Threads Boost / Base TDP Total Cache GPU Graphics Cores NPU (TOPS)
AMD Ryzen AI 7 450G 8 / 16 Up to 5.1 / 2.0 GHz 65W 24MB Radeon 860M 8 Up to 50
AMD Ryzen AI 5 440G 6 / 12 Up to 4.8 / 2.0 GHz 65W 22MB Radeon 840M 4 Up to 50
AMD Ryzen AI 5 435G 6 / 12 Up to 4.5 / 2.0 GHz 65W 14MB Radeon 840M 4 Up to 50
AMD Ryzen AI 7 450GE 8 / 16 Up to 5.1 / 2.0 GHz 35W 24MB Radeon 860M 8 Up to 50
AMD Ryzen AI 5 440GE 6 / 12 Up to 4.8 / 2.0 GHz 35W 22MB Radeon 840M 4 Up to 50
AMD Ryzen AI 5 435GE 6 / 12 Up to 4.5 / 2.0 GHz 35W 14MB Radeon 840M 4 Up to 50
AMD Ryzen AI 7 PRO 450G 8 / 16 Up to 5.1 / 2.0 GHz 65W 24MB Radeon 860M 8 Up to 50
AMD Ryzen AI 5 PRO 440G 6 / 12 Up to 4.8 / 2.0 GHz 65W 22MB Radeon 840M 4 Up to 50
AMD Ryzen AI 5 PRO 435G 6 / 12 Up to 4.5 / 2.0 GHz 65W 14MB Radeon 840M 4 Up to 50
AMD Ryzen AI 7 PRO 450GE 8 / 16 Up to 5.1 / 2.0 GHz 35W 24MB Radeon 860M 8 Up to 50
AMD Ryzen AI 5 PRO 440GE 6 / 12 Up to 4.8 / 2.0 GHz 35W 22MB Radeon 840M 4 Up to 50
AMD Ryzen AI 5 PRO 435GE 6 / 12 Up to 4.5 / 2.0 GHz 35W 14MB Radeon 840M 4 Up to 50

 

For mobile platforms, AMD highlighted the Ryzen AI PRO 400 Series processors, which are aimed at commercial notebooks and mobile workstations. The company claims that its Ryzen AI 9 HX PRO 470 delivers up to 30% higher multithreaded performance than Intel’s Core Ultra X7 3581, while maintaining all-day battery life in typical productivity workloads. These processors feature a more powerful NPU rated at up to 60 TOPS, enabling expanded on-device AI acceleration for enterprise use cases.

AMD also stated that Ryzen AI PRO 400 Series processors will power next-generation mobile workstations with independent software vendor validation, targeting professional applications that can leverage CPU, GPU, and NPU resources for engineering, creation, and technical workflows. Commercial notebooks with Ryzen AI PRO 400 Series chips are expected to begin shipping later in March, while mobile workstations are scheduled to arrive in the second quarter of 2026 from OEMs including Dell Technologies, HP, and Lenovo.

Alongside the new processors, AMD emphasized updates to its AMD PRO platform, focusing on enterprise security, manageability, and long-term platform stability. The company says the updated PRO stack improves remote management, system recovery, and compatibility with existing enterprise security solutions, supporting large-scale deployments of AI-enabled PCs.

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