Orchestrating complex, autonomous AI agents requires a fundamentally different architecture in order to scale beyond simple chatbots. IT teams need airtight security, rapid response times, and automated management.
At Next '26, we announced groundbreaking updates to Google Kubernetes Engine (GKE) designed specifically to handle the demands of enterprise AI at scale:
- GKE Hypercluster: Manage up to one million chips across multiple Google Cloud regions through a single, unified capacity reserve.
- GKE Agent Sandbox: Execute complex, multi-agent workflows safely with scalable, low-latency gVisor kernel isolation.
- Intent-Based Autoscaling: Pull metrics directly from pods to cut scaling wait times by 5x (from 25 seconds to just 5 seconds) while lowering infrastructure costs.
Learn how these new capabilities eliminate heavy performance tuning and unlock unmatched infrastructure elasticity.
