AMD expands Ryzen AI 400 Series to power next-generation Copilot+ PCs across desktop and mobile

At Mobile World Congress 2026, AMD unveiled an expanded Ryzen AI portfolio, introducing new Ryzen AI 400 Series and Ryzen AI PRO 400 Series desktop processors alongside broader mobile workstation support. The announcement signals a push to bring on-device artificial intelligence capabilities to a wider range of commercial and consumer PCs, positioning local AI acceleration as a core feature of the next PC cycle.

The new desktop processors are described as the first designed to support Microsoft Copilot+ PC experiences on desktop systems. By integrating a dedicated neural processing unit capable of delivering up to 50 trillion operations per second, the chips are intended to enable AI assistants, productivity tools and large language models to run locally. This approach is framed as a way to enhance performance and responsiveness while keeping sensitive data on the device rather than in the cloud.

AMD said the expanded portfolio allows original equipment manufacturers to develop AI-enabled systems across desktops, notebooks and mobile workstations. The move reflects a broader industry shift towards hybrid AI architectures, where inference workloads are increasingly distributed between cloud and endpoint devices.

Desktop processors target Copilot+ and professional workloads

The Ryzen AI 400 Series desktop family combines Zen 5 CPU cores, RDNA 3.5 graphics and an XDNA 2 neural processing unit to deliver a blend of compute, graphics and AI acceleration. AMD positions the processors for office professionals, developers and power users who require consistent performance across multitasking, collaboration and AI-assisted workflows.

Jack Huynh, senior vice president and general manager of AMD’s Computing and Graphics Group, said, “The desktop PC is evolving from a tool you use to an intelligent assistant that works alongside you. With the Ryzen AI 400 Series processors – the world’s first designed to power new Copilot+ experiences on the desktop – we’re bringing powerful AI acceleration that enables our partners to build systems that empower both enterprises and consumers to do more and create more.”

The desktop lineup includes multiple 65W and 35W variants. At the higher end, the Ryzen AI 7 450G and Ryzen AI 7 450GE feature 8 cores and 16 threads, boost frequencies of up to 5.1 GHz and up to 24MB of total cache. These models integrate Radeon 860M graphics with eight graphics cores and support up to 50 TOPS of AI compute. More mainstream configurations, such as the Ryzen AI 5 440G, 440GE, 435G and 435GE, offer 6 cores and 12 threads with boost speeds of up to 4.8 GHz or 4.5 GHz depending on the model, paired with Radeon 840M graphics and up to 50 TOPS of NPU performance.

AMD also introduced PRO-branded equivalents of these desktop chips, including the Ryzen AI 7 PRO 450G and 450GE and the Ryzen AI 5 PRO 440G, 440GE, 435G and 435GE. These mirror the core counts, clock speeds and graphics configurations of the standard models, while integrating enterprise-focused platform features.

AM5 desktop systems powered by Ryzen AI 400 Series processors are expected to be available from the second quarter of 2026, with HP and Lenovo among the initial OEM partners.

Mobile processors extend AI acceleration to notebooks and workstations

Beyond the desktop, AMD expanded its Ryzen AI PRO 400 Series mobile portfolio to address commercial notebooks and mobile workstations. The Ryzen AI 9 HX PRO 470 is positioned as the flagship mobile processor in the range, delivering up to 30% faster multithreaded performance compared with Intel Core Ultra X7 358H in AMD’s internal testing.

The comparison was based on benchmarking conducted in February 2026 using Cinebench 2026, Blender CPU 4.3 and other workload tests under Windows 11 Pro in performance mode. AMD indicated that results may vary depending on system configuration and driver versions.

Mobile Ryzen AI PRO 400 Series processors incorporate an NPU capable of delivering up to 60 TOPS of AI compute, extending Copilot+ PC experiences to thinner and lighter form factors. AMD also highlighted power efficiency and what it defines as “all-day battery life”, which it describes as at least eight hours of continuous use, depending on configuration and workload.

The company confirmed that Ryzen AI PRO 400 Series mobile processors will power next-generation mobile workstations with validated support for independent software vendors. These systems are designed to accelerate engineering, design and other professional applications by leveraging CPU, GPU and NPU resources in tandem.

Mobile workstations based on the new processors are expected to ship in the second quarter of 2026 from OEMs including Dell Technologies, HP and Lenovo.

AMD PRO platform focuses on enterprise security and manageability

Alongside the hardware launch, AMD emphasised its AMD PRO platform, which underpins the PRO variants of the Ryzen AI 400 Series. The platform combines hardware-level protections with management capabilities intended to simplify IT operations across distributed PC fleets.

AMD said it has expanded remote management features to improve visibility, recovery and control for IT administrators. The goal is to enable system diagnostics, restoration and maintenance without requiring desk-side intervention, supporting business continuity in large-scale deployments.

Systems built on the AMD PRO platform are validated for compatibility with major commercial security solutions. AMD said this allows enterprises to integrate AI-enabled PCs into existing security ecosystems without overhauling established processes or tools.

The broader portfolio now spans consumer and enterprise desktops, commercial notebooks and mobile workstations, reflecting AMD’s ambition to position local AI acceleration as a standard capability across PC categories. With Copilot+ support and dedicated NPUs moving into mainstream configurations, the competitive battleground in 2026 is set to extend beyond raw CPU performance towards integrated AI throughput, manageability and energy efficiency across hybrid work environments.