In the early 2010s, CPUs and GPUs adequately supported simple neural networks and language models. By 2025, the development of agentic AI, which can think, plan, and act autonomously, has transformed operational dynamics. AI-powered assistants now efficiently convert tasks into results across various sectors. Vamsi Boppana from AMD highlights that numerous specialized AI models will collaborate to solve problems, improving intelligence by eliminating traditional data processing latency. Enterprises find that achieving true autonomy demands new computing infrastructures that can accommodate these advanced AI agents.
We're heading into a world where hundreds of specialized, task-specific models known as agents can work together to solve a problem, much like human teams do.
When these models communicate with one another, the latency bottlenecks of traditional data processing begin to disappear.
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