AI infrastructure
Google Extends Kubernetes Service to Safely Run Agentic AI Workloads
At KubeCon + CloudNativeCon North America 2025, Google unveiled major GKE upgrades — including an AI sandbox, inference gateway, pod snapshots, and 130,000-node clusters — to optimize and secure agentic AI workloads ...
CNCF Adds Program to Standardize AI Workloads on Kubernetes Clusters
CNCF introduces the Certified Kubernetes AI Conformance Program to standardize AI and ML workload deployment, ensuring interoperability and sovereign cloud compliance ...
Why Agentic SREs Require Active Telemetry in Kubernetes
Discover how Active Telemetry enables Agentic SREs to move from reactive firefighting to autonomous diagnosis and proactive reliability in Kubernetes ...
Why Traditional Kubernetes Security Falls Short for AI Workloads
AI workloads on Kubernetes bring new security risks. Learn five principles—zero trust, observability, and policy-as-code—to protect distributed AI pipelines ...
Fitting Square Kubernetes Into the Round AI-Native Apps
Kubernetes tamed cloud-native workloads, but AI-native apps push its limits. Can it evolve for GPU-first, data-intensive AI — or is it time for new control planes? ...
