Automating GPU Infrastructure for Kubernetes - Lucas Servén Marín, CoreOS
How to deploy NVIDIA GPU Operator Deployment on Kubernetes
Building a GPU Cluster for Kubernetes with NVIDIA Base Command Manager (BCM)
Kubernetes resource optimization: Tackling CPU and GPU waste through automation, with Andrew Hillier
Deploy and Scale AI Workloads with NVIDIA Run:ai on Azure Kubernetes Service (AKS)
Optimizing GPU Usage in EKS: Improving Performance & Security in Kubernetes - Natalie Serebryakoval
How vCluster Makes AI Infrastructure Scalable | Saiyam Pathak, vCluster Labs
AI Infrastructure on Kubernetes: NVIDIA Run:ai & KAITO
Inside the Future of AIOps: Automation, Scale & ROI | Rob Hirschfeld, RackN
Slurm vs Kubernetes : What to choose to run my AI workloads?
Kubernetes Explained in 6 Minutes | k8s Architecture
AI Meets Kubernetes: Architecting GPU Infrastructure with Isolation and Efficiency in Mind.
The GPU Problem That's Reinventing Kubernetes Core Technology | Simone Morellato, vCluster
GPU Virtualization and Capacity Management on Kubernetes with Run.ai
🧠 Setting Kubernetes cluster on a GPU node with NVIDIA Operator | Vast.ai GPU Cluster Demo
NVIDIA GPU Operator: Simplifying GPU Management in Kubernetes - Kevin Jones (NVIDIA)
Everything you Need to Know about using GPUs with Kubernetes - Rohit Agarwal, Google
Benchmarking GPU Scheduling for Massive-Scale Ray Workloads at Minimal Cost - MSFT | Ray Summit 2025
The Path to GPU as a Service in Kubernetes - Renaud Gaubert, NVIDIA (Intermediate Skill Level)
Run Anywhere. Automate Everything. Mirantis k0rdent in 30 Seconds