cloud native AI
Autoscaling AI Workloads on Kubernetes With KEDA and What it Means for Agentic Systems
KEDA can scale Kubernetes AI workloads on real demand signals such as queue depth, helping model-serving and agent workloads respond faster while reducing idle compute costs ...
Kubeflow’s Graduation Is a Vote for Kubernetes as the AI Control Plane
Kubeflow’s CNCF graduation signals growing confidence in Kubernetes as a common control plane for production AI workloads, from training and pipelines to governance and inference ...
Kubernetes Wasn’t Built for GPUs. Make It Behave
Kubernetes counts whole GPUs and treats pods as disposable. An LLM pod is neither. Share the silicon with MIG/MPS/time-slicing and stop paying for idle ...
Stop Treating GPUs Like Web Pods
Kubernetes schedules accelerators as opaque integers, and your bill pays for it. Share the silicon, scale on the right signal and keep weights out of the image ...
NVIDIA Is Putting Real Skin in the Open AI Game
Open AI requires community-governed infrastructure and companies willing to contribute code, engineering and costly GPU cycles. NVIDIA is doing exactly that ...
Beyond the Model: Why AI Agent Orchestration Requires Cloud-Native Engineering
AI agent orchestration is a distributed systems challenge. Cloud-native engineering provides the resilience, observability, security and scalability needed for production AI ...
AI-driven Kubernetes in Action: Exploring AI-Assisted Kubernetes Operations
Discover how AI is transforming Kubernetes from reactive troubleshooting to proactive, intelligent automation. Learn about essential AIOps tools, resource optimization strategies, and the challenges of managing AI-enabled container orchestration at scale ...
Measuring AI-Driven Automation: The Metrics That Prove Whether Your Platform is Actually Getting Smarter
AI is reshaping cloud-native operations, but old automation metrics mislead. Learn the modern KPIs—MTTR, action quality, autonomy and cognitive load reduction ...
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 ...
