AI infrastructure
Your Model Works in the Notebook and Breaks in the Cluster
A model working in a notebook gives you a particular kind of confidence. The metrics look good, the code runs top to bottom, the researcher demos it, leadership nods, and everyone agrees ...
GitOps Wasn’t Built for Models, and It Shows
GitOps won the deployment argument. Everything goes in Git, the cluster reconciles itself to match, and your repository becomes the one place that tells you what’s actually running. It’s clean and auditable ...
Stop Treating Your Models Like Microservices
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 ...
Azure Linux 4.0 Signals Microsoft’s Commitment to Open Source AI Infrastructure
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 ...
Pedal to Bare-Metal Kubernetes, Nutanix Forges NKP Metal
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 ...
How AI is Transforming Cloud‑Native Operations
AI is transforming cloud-native operations with predictive scaling, AIOps and automation to improve performance, efficiency and resilience ...
Istio Weaves ‘Future-Ready’ Service Mesh for AI
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 ...
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 ...
