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Do more with less: How GKE can reduce your cost per agent by 75%
Google Kubernetes Engine provides tools to increase AI agent density and reduce compute costs for autonomous digital workers.
Why it matters
Businesses can scale their fleets of AI agents without linearly increasing their cloud infrastructure budget.
The details
- GKE Agent Sandbox uses gVisor, a user-space kernel, for lightweight secure isolation.
- Pod snapshots freeze idle agents to persistent storage and resume in milliseconds.
- Cost-optimized configurations support up to 274 agents on a single node.
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In this article
Key connections
Google developed and open-sourced the gVisor secure container sandbox.
GKE Agent Sandbox is built with gVisor
GKE Agent Sandbox leverages gVisor to provide user-space kernel isolation.
GKE Agent Sandbox competes with Kata Containers
GKE Agent Sandbox provides secure isolation as an alternative to Kata Containers microVMs.
Kata Containers is built with MicroVMs
Kata Containers uses microVM technology to isolate container workloads.
OpenClaw and Hermes are open-source AI agent frameworks used for running agentic workloads.
OpenClaw uses GKE Agent Sandbox
OpenClaw agent profiles were tested on GKE Agent Sandbox to demonstrate density improvements.
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Hermes agents are deployed on virtual machines for isolated workload execution.
Google owns Google Compute Engine
Google Compute Engine provides scalable virtual machine instances on Google Cloud.
Google Kubernetes Engine is built with Kubernetes
Google Kubernetes Engine is built on Kubernetes for container orchestration.
Google owns GKE Agent Sandbox
Google Cloud provides GKE Agent Sandbox.
Google owns Google Kubernetes Engine
Google Kubernetes Engine is a managed Kubernetes service offered by Google.
Related events
GKE Agent Sandbox Reaches General Availability and 7x Usage Growth
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