AMD pushes agentic AI to local PCs
AMD has introduced its new Ryzen AI portfolio, focusing on 'agentic' PCs designed to handle complex, multi-step tasks locally rather than relying on cloud-based processing. The platform utilizes unified memory and specialized hardware to run large language models directly on consumer devices.
Why it matters
This shift toward local AI processing could significantly reduce cloud computing costs and improve data privacy for users running complex AI agents.
LOCAL processing is emerging as a key requirement for a new generation of AI applications as software agents take on more complex tasks, AMD said during an online briefing Wednesday, Sept. 30, outlining its approach to agentic PCs and its Ryzen AI portfolio.Michael Nordquist, AMD corporate vice president for client product marketing, said agentic computing differs from earlier generative AI use because systems are expected to work through tasks and outcomes rather than simply respond to individual prompts."As we move into agentic, that means you have an agent working on your behalf on more complex tasks where you really try to assign it a task or an outcome and actually reason through it," Nordquist said.He said this shift changes computing requirements because agents can run repeatedly and locally, increasing the importance of CPU, GPU, NPU and memory capacity.Nordquist said AMD has shipped tens of millions of AI PCs across more…
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