NVIDIA Network Operator helps install and operate networking stack components required for performance-sensitive AI/HPC workloads, integrating with Kubernetes-native management.
Manage networking components with Helm and Kubernetes resources.
Targets environments where low-latency networking and RDMA are required.
Integrates with cluster lifecycle and standard deployment practices.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy NVIDIA networking components (for example RDMA-related) using an operator on Kubernetes.
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.
