AI agents do more than generate answers. They search for information, query databases, write and test code and take action.
Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution throughout a task.
As businesses put more agents to work, AI factories need CPUs that can execute those steps quickly and support many agents at once, all within the limits of available power.
What this means: AI infrastructure providers need to support more agents without making each one wait longer to get work done. And critically, AI factories are power limited. This means operators need to choose infrastructure that maximizes the work done for every watt.
Source: NVIDIA Blog — Read the full article on the original site ↗