GitHub - kubernetes-sigs/dra-driver-nvidia-gpu: DRA Driver for NVIDIA GPUs
github.comDRA Driver for NVIDIA GPUs. Contribute to kubernetes-sigs/dra-driver-nvidia-gpu development by creating an account on GitHub.
Smarter Scheduling for AI Workloads: Topology-Aware Scheduling
Why Topology? Why Now? At KubeCon NA 2025, one theme do…
Running AI Workloads on Rack-Scale Supercomputers: From Hardware to Topology-Aware Scheduling | NVIDIA Technical Blog
The NVIDIA GB200 NVL72 and NVIDIA GB300 NVL72 systems, featuring NVIDIA Blackwell architecture, are rack-scale supercomputers. They’re designed with 18 tightly coupled compute trays…
Running Large-Scale GPU Workloads on Kubernetes with Slurm | NVIDIA Technical Blog
Slurm is an open source cluster management and job scheduling system for Linux. It manages job scheduling for over 65% of TOP500 systems. Most organizations running large-scale AI training have years…
Feature Gates
This page contains an overview of the various feature gates an administrator can specify on different Kubernetes components. See feature stages for an explanation of the stages for a feature. Overview Feature gates are a set of key=value pairs that describe Kubernetes features. You can turn these features on or off using the --feature-gates command line flag on each Kubernetes component. How to enable Feature Gates To enable or disable a feature gate for a particular Kubernetes component, use the --feature-gates flag.