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News · 2026-10-22

Google gives each Gemini agent its own isolated micro-VM

@neuronium_ai @neuronium_ai

Google has built Agent Compute Engine, giving each Gemini agent its own hardware-isolated micro-virtual machine. The design also underpins Agent Substrate, Google’s open-source runtime based on Kubernetes. Google says it can fit ten times as many agents on a server; in a test with 200,000 agents, pausing and resuming work took less than 500 milliseconds. The architecture matters because it makes isolation and fast recovery part of the infrastructure for running agents, not just properties of the model.

Cover: Google gives each Gemini agent its own isolated micro-VM

What Google is adding

Google is also adding controls for managing agent workloads:

Token tracking
Routing requests to models
Support for third-party identity providers, including Ping Identity and SailPoint

These controls will also come to Cloud Run, GKE and managed endpoints.

The infrastructure bet

The tenfold capacity claim is striking, but the announcement gives no details about the comparison behind it. I think that missing baseline matters: the result could depend on what counts as an agent, how much work it does and what hardware the test used.

The sub-500-millisecond pause-and-resume result is more concrete, though it is still a test with 200,000 agents, not a description of performance under every workload. What I’d want to know is how the isolation and recovery costs change when agents are doing sustained work rather than waiting to be resumed. Google is making a case for the runtime; the unanswered question is whether its efficiency claims hold up across the workloads developers actually need to run.

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