Beyond the GPU: How Agentic AI Workloads are Driving a New Era of CPU Innovation in the Data Center
At the AMD Advancing AI event last June, CEO and Chair Dr. Lisa Su described agentic AI as a new class of user: systems that are always active, continuously accessing data, applications, and services to make decisions and complete complex tasks. These systems rely on high-performance GPUs to generate insights in real time, but the surrounding infrastructure is just as important. As agentic AI activity grows, high-performance CPUs coordinate workflows, process and move data, and manage the many operations that occur around the model. While GPUs excel at the high-throughput parallel processing used in AI training and many inference tasks, modern AI deployments depend on balanced systems. CPUs, GPUs, networking, and software each play distinct roles in delivering performance at scale. Within these environments, CPUs orchestrate workloads, manage memory and data movement, and support the enterprise applications that run alongside AI models in production. That makes CPU performan...