Why CPUs still matter in the age of AI agents
The New Stack article, "Why CPUs still matter in the age of AI agents," argues that while GPUs dominate AI training and inference, CPUs are still critical for the operation of AI agents. The article explains that AI agents perform many tasks that are not GPU-accelerated, such as orchestrating workflows, making API calls, processing data, and running business logic. These tasks are CPU-intensive and require the general-purpose processing capabilities that CPUs provide. The article highlights that as AI agents become more prevalent, the demand for CPU resources will increase, and organizations must ensure they have adequate CPU capacity to support agent-based applications. It suggests that a balanced approach to compute, combining both CPUs and GPUs, is necessary for optimal performance and cost efficiency.
Developers building AI agents must consider CPU capacity for orchestration and tool calls, not just GPU power.