Supercharging Distributed Cloud Agents with AMD's Next-Gen Zen 5 Architecture
For the first wave of generative AI, the interaction model was simple: tokens in, tokens out. A user entered a prompt, a model processed it, and the response appeared on screen. Most of the visible work happened during inference, often on a cloud GPU. That model is now changing. AI agents can read files, execute code, use client-side applications, call tools and complete multi-step tasks. In this new era, inference remains important, but generating tokens is only the first step. The new model is: Tokens in. Actions out. From answering questions to completing tasks Consider the difference between asking an AI assistant how to file your taxes and asking an agent to help file them. The first task is largely a language problem. The second may require the agent to open documents, extract data, perform calculations, interact with software and validate the result. This creates a continuous loop. The model decides what to do next, the agent calls a tool, the client C...