Volcano is a Kubernetes native batch scheduling system designed to efficiently manage high performance computing (HPC), machine learning (ML), deep learning, and other data intensive workloads. It extends Kubernetes' batch scheduling capabilities, offering optimized resource sharing, job lifecycle management, and advanced scheduling features.
Deploy Volcano on Kubernetes via Helm.
Schedule batch and AI workloads with queue-aware policies.
Coordinate pods that must start together for distributed jobs.
Control priorities and quotas across teams and workloads.
Additional Nebius infrastructure costs may apply. Use the Nebius Pricing Page to estimate your infrastructure costs.
Deploy Volcano 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 Volcano. See the documentation and project links above.
Infrastructure support
Provided by Nebius for the underlying cloud infrastructure.
