Running a HIPAA-Aware Multi-Agent Medical AI on GKE: A...
Google's GKE AI infrastructure docs list ~40 integrations. Here's a field map of which ones actually matter when the workload is a HIPAA-aware multi-agent medical AI, and where the gaps sit.
Google Kubernetes Engine (GKE) is the managed Kubernetes platform used to deploy multi-agent AI workloads. Posts cover GKE infrastructure for medical AI, production cluster patterns, node pool configuration, and the operational practices that keep GKE clusters stable under agentic workloads.
2 posts tagged with gke. ← All posts
Google's GKE AI infrastructure docs list ~40 integrations. Here's a field map of which ones actually matter when the workload is a HIPAA-aware multi-agent medical AI, and where the gaps sit.
Multi-agent stacks have state: vector indexes, chat histories, agent memory. GKE for AI workloads needs StatefulSets, PVCs, gateway controllers, and the patterns that work in 2026.
All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.