NVIDIA Device Plugin advertises GPU resources to Kubernetes so workloads can request and use GPUs through standard scheduling and runtime paths.
Makes GPUs visible to Kubernetes as schedulable resources.
Uses the device plugin framework for runtime GPU access.
Install and configure via Helm values for repeatable rollouts.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Expose NVIDIA GPUs to Kubernetes workloads via the standard device plugin mechanism.
Some applications are easier with a hand on the wheel. Talk to an architect who has deployed this in production.
Reliable AI infrastructure backed by top-tier NVIDIA GPUs, purpose-built for demanding inference workloads. Multiple deployment methods — virtual machines for full hardware control, Kubernetes for scalable cluster deployments, and managed serverless applications for teams that want inference running without infrastructure overhead
Learn about Nebius AI CloudNebius meets a broad set of security and compliance standards. Fine-grained IAM controls, audit logs, and encrypted storage are available out of the box — so teams can meet security requirements without additional tooling.
Explore the Trust centerApplication support
Provided by NVIDIA. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
