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GPU scheduling

Kubernetes Did Not Miss the AI Wave. It Absorbed It

Kubernetes Did Not Miss the AI Wave. It Absorbed It

Enterprise AI is settling onto the cloud native stack, and the strongest evidence is not a vendor roadmap. It is what the ecosystem has already standardized ...
Alan Shimel | September 10, 2026 | AI gateways, AI Inference, AI infrastructure, AI observability, AI operations, cloud native, cloud native AI, cncf, Dynamic Resource Allocation, enterprise AI, gateway API, generative AI, GPU scheduling, kubernetes, Kubernetes AI, Kueue, llm-d, model routing, model serving, platform engineering
Kubeflow’s Graduation Is a Vote for Kubernetes as the AI Control Plane

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 ...
Alan Shimel | August 19, 2026 | agentic AI, AI infrastructure, AI lifecycle, AI platform, AI Workloads, cloud native AI, cncf, Distributed Training, enterprise AI, GPU scheduling, KServe, Kubeflow, Kubeflow graduation, Kubeflow Pipelines, Kubeflow Trainer, kubernetes, Kubernetes AI, MLOps, OpenTelemetry, platform engineering
Stop Treating GPUs Like Web Pods

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 ...
Veera Ravindra Divi | August 12, 2026 | AI infrastructure, AI serving, autoscaling, cloud costs, cloud native AI, DCGM exporter, DRA, Dynamic Resource Allocation, GPU costs, GPU scheduling, GPU sharing, GPU utilization, GPUs, inference workloads, KEDA, kubernetes, Kubernetes GPU scheduling, LLM Inference, MIG, model weights, MPS, NVIDIA GPUs, NVIDIA MIG, Prometheus, scale-to-zero, time-slicing
NVIDIA Is Putting Real Skin in the Open AI Game

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 ...
Alan Shimel | July 28, 2026 | accelerated computing, AI compute, AI infrastructure, cloud native AI, cncf, GPU cycles, GPU Dynamic Resource Allocation, GPU scheduling, KAI Scheduler, kubernetes, Kubernetes AI Conformance, Nvidia, open AI infrastructure, open source AI, vendor-neutral APIs
The Foundation Was Already Poured

The Foundation Was Already Poured

Techstrong's Experts Exchange this October, Cloud Native Now: The AI Stack, and this November's KubeCon in Salt Lake City are both making the same case for cloud native and AI. The argument ...
Alan Shimel | July 27, 2026 | agent governance, agent identity, agentic AI, AI agents, AI governance, AI infrastructure, AI security, AI stack, AI strategy, AI Workloads, cloud native, cloud native developers, cncf, enterprise AI, GPU scheduling, KubeCon, kubernetes, Kubernetes AI, MLOps, model serving, observability, platform engineering, sigstore, SLSA, software supply chain security
Fitting Square Kubernetes Into the Round AI-Native Apps

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? ...
Alan Shimel | September 8, 2025 | AI control plane, AI infrastructure, AI pipelines Kubernetes, AI-native applications, cloud-native vs AI-native, container orchestration AI, distributed training orchestration, GPU scheduling, inference at scale, internal developer platforms, Kubeflow, KubeRay, kubernetes, Kubernetes AI workloads, Kubernetes future, Kubernetes limitations, Kubernetes vs AI, platform engineering, Ray on Kubernetes, Volcano scheduler

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The Economics of Infrastructure Modernization
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20 October 2026
AI Agents Can Now Take Software Apart. DevOps Teams Need a Plan
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ThreatHunter.ai Halts Hundreds of Attacks in the past 48 hours: Combating Ransomware and Nation-State Cyber Threats Head-On

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Karmada Federated Control Plane for Kubernetes Achieves CNCF Graduation

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CloudBolt Adds Ability to Optimize GPU Consumption by Kubernetes Workload

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groundcover Acquires Wand Platform to Optimize Kubernetes Clusters

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AKS Is Growing – Along With Its Kubernetes Utilization Problem

October 6, 2026

Microsoft Bakes Linux Container Support Directly into Windows

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