GPU cluster isolation means each tenant's jobs, data and control plane stay apart from every other tenant on the fleet. vCluster isolates the control plane, Private Nodes isolate the workers, and Netris can carry the boundary into the physical network.
GPU tenant isolation needs clear boundaries at the control plane, worker node, and network layers.
Namespace-only designs share control-plane and node-level components between tenants.
Running a separate management stack for every tenant increases infrastructure and operational work.
A shared API server and RBAC model cannot provide the same tenant control-plane boundary as a dedicated tenant cluster.
vCluster gives every tenant its own virtualized control plane and uses Private Nodes as the production default. Optional vNode and Netris integrations strengthen the runtime and physical network boundaries.
GPU cluster isolation spans the tenant control plane, dedicated Private Nodes, optional runtime isolation, and optional hardware network isolation.
Private Nodes assign dedicated worker nodes with tenant-scoped networking and storage to each production tenant cluster.
Each tenant receives its own virtualized Kubernetes control plane, API server, and RBAC boundary.
vNode adds a tenant isolation runtime using Linux user namespaces and seccomp filters for workloads that need a stronger runtime boundary.
The Netris integration can place each tenant network environment on a separate hardware-backed L2 boundary.
vCluster Platform supports air-gapped deployments and FIPS features on supported plans for regulated deployment patterns.
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Namespace-only designs share the Kubernetes control plane and node-level components. vCluster gives each tenant a separate virtualized control plane, while Private Nodes assign dedicated worker capacity to each production tenant cluster.
vCluster handles control plane and worker node isolation, and vNode can add a stronger runtime boundary with Linux user namespaces and seccomp. GPU partitioning (MIG, vGPU, time-slicing, or DRA) stays with the GPU operator and driver stack, and vCluster layers the tenant boundary over it.
vCluster Platform supports air-gapped deployments and FIPS features on supported plans. Private Nodes and optional Netris network isolation provide deployment controls for regulated environments without claiming compliance on the customer's behalf.
vCluster can power managed Kubernetes, Slurm, Ray, inference, and other tenant cluster products. Slurm keeps responsibility for Slurm scheduling through the Slinky integration, and partner platforms such as NVIDIA Run:ai keep their own schedulers.
vCluster provides turnkey tenant management and APIs for a custom experience. Templates, capacity policy, and centralized fleet operations reduce the platform work required to launch and operate tenant clusters. Boost Run went from decision to production launch in under 45 days.
No separate Kubernetes control-plane servers are required for each tenant. The tenant control plane runs as isolated pods, while Private Nodes provide dedicated worker capacity for production workloads.
Learn how 50+ GPU clouds implement tenant isolation with vCluster.
