--- title: Reduce your agent’s costs by 75% with GKE Agent Sandbox description: Google Cloud engineers tested how many AI agents can be packed onto a single GKE node (n2-standard-48) using progressive optimizations. Starting from a... canonical: https://daily.dev/posts/reduce-your-agent-s-costs-by-75-with-gke-agent-sandbox-njrc75arx twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Reduce your agent’s costs by 75% with GKE Agent Sandbox | daily.dev og:description: Google Cloud engineers tested how many AI agents can be packed onto a single GKE node (n2-standard-48) using progressive optimizations. Starting from a... og:url: https://daily.dev/posts/reduce-your-agent-s-costs-by-75-with-gke-agent-sandbox-njrc75arx og:image: https://api.daily.dev/og/posts/NjRC75aRX.png og:image:alt: Reduce your agent’s costs by 75% with GKE Agent Sandbox og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Reduce your agent’s costs by 75% with GKE Agent Sandbox **[Google Cloud](https://daily.dev/sources/gcp)** · 7 min read · 1 upvotes · 0 comments ## Summary Google Cloud engineers tested how many AI agents can be packed onto a single GKE node (n2-standard-48) using progressive optimizations. Starting from a baseline of 61 agents using microVMs (Kata containers), migrating to GKE Agent Sandbox (gVisor-based) raised the count to 88 agents — a 44% increase and 30%+ cost reduction. Adding GKE Pod snapshots to checkpoint idle agents further boosted density: 133 agents in performance-optimized mode and 274 agents in cost-optimized mode, representing 3.5x greater density and up to 75% cost reduction per agent compared to the microVM baseline. The post outlines three agent workload profiles — real-time, balanced, and headless — each with different latency tolerances and recommended GKE configurations. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Google Announces GKE Agent Sandbox and Hypercluster at Next '26, Positioning Kubernetes as AI Agent](https://daily.dev/posts/google-announces-gke-agent-sandbox-and-hypercluster-at-next-26-positioning-kubernetes-as-ai-agent-cfmrtqf9a) · InfoQ · 0 upvotes · 0 comments - [Google Cloud: A Deep Dive into GKE Sandbox for Agents](https://daily.dev/posts/google-cloud-a-deep-dive-into-gke-sandbox-for-agents-keoxzofzg) · The New Stack · 3 upvotes · 0 comments --- Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#ai-agents](https://daily.dev/tags/ai-agents), [#gke](https://daily.dev/tags/gke) [View this post on daily.dev](https://daily.dev/posts/reduce-your-agent-s-costs-by-75-with-gke-agent-sandbox-njrc75arx) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Reduce your agent’s costs by 75% with GKE Agent Sandbox","url":"https://daily.dev/posts/reduce-your-agent-s-costs-by-75-with-gke-agent-sandbox-njrc75arx","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/reduce-your-agent-s-costs-by-75-with-gke-agent-sandbox-njrc75arx"},"datePublished":"2026-07-30T16:01:56.918Z","dateModified":"2026-07-30T16:11:45.079Z","description":"Google Cloud engineers tested how many AI agents can be packed onto a single GKE node (n2-standard-48) using progressive optimizations. 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