As enterprises scale AI agents, Google is betting that idle infrastructure costs could become a major barrier to adoption. To address that challenge, the company on Thursday launched Agent Compute Engine, a service that suspends inactive agents and restores them on demand while preserving their execution state.
AI agents often spend long periods waiting for instructions, tool responses, or human approvals. While enterprises can reduce costs by shutting down the underlying compute resources, restarting agents typically requires rebuilding the execution environment and restoring context, adding latency. Google says its new Agent Compute Engine addresses that trade-off by preserving agent state in hardware-isolated microVMs that can be suspended and resumed on demand.
That choice of microVMs is intended to reduce the overhead associated with conventional virtual machines, which typically take longer to boot and require more resources to initialize, the company wrote in a blog post.
