AI infrastructure

A few years ago, it felt like Kubernetes had become the universal answer to infrastructure problems. Teams wanted resiliency? Kubernetes. Faster deployments? Kubernetes. Scalability? Kubernetes again. Eventually, the industry stopped treating cloud-native ...

Microsoft is widening its Linux strategy as AI infrastructure drives Azure’s growth, announcing Azure Linux 4.0 alongside the general availability of Azure Container Linux at Open Source Summit North America 2026. For ...

Nutanix extends its Cloud Platform to bare-metal infrastructure with NKP Metal. Learn how dual-native architecture simplifies Kubernetes for AI and edge workloads without sacrificing the Nutanix operating model ...

AI is transforming cloud-native operations with predictive scaling, AIOps and automation to improve performance, efficiency and resilience ...

At KubeCon + CNC 2026, Istio unveils Ambient Multicluster and the Gateway API Inference Extension to simplify AI infrastructure. Learn how sidecar-less mesh and agentgateway secure agentic workloads and boost deployment velocity ...

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 introduces the Certified Kubernetes AI Conformance Program to standardize AI and ML workload deployment, ensuring interoperability and sovereign cloud compliance ...

Discover how Active Telemetry enables Agentic SREs to move from reactive firefighting to autonomous diagnosis and proactive reliability in Kubernetes ...

AI workloads on Kubernetes bring new security risks. Learn five principles—zero trust, observability, and policy-as-code—to protect distributed AI pipelines ...

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? ...