NVIDIA GPU Operator automates installation, configuration, and lifecycle management of the NVIDIA GPU software stack on Kubernetes, including drivers and supporting components.
Install and manage GPU drivers and related components using Kubernetes-native workflows.
Upgrades and configuration changes are applied declaratively via Helm values and Kubernetes resources.
Standardize GPU setup across nodes to run GPU workloads more predictably.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Install and manage NVIDIA GPU software components on Kubernetes nodes via an operator.
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.
