Struggling to manage multiple Kubernetes clusters across regions and tenants? vCluster virtualizes the K8s control plane so every tenant gets a fully isolated, CNCF-certified cluster without provisioning separate physical infrastructure.
Traditional approaches force painful tradeoffs between isolation, cost, and operational scale.
Tenants can see cluster-wide agents and other tenants' resources. Namespace isolation is too weak for real GPU workloads.
Provisioning a physical cluster per tenant is too slow, too costly, and operationally unsustainable at scale.
Dozens of clusters across regions and clouds means fragmented visibility, inconsistent policies, and mounting maintenance overhead.
vCluster Platform virtualizes the Kubernetes control plane itself. Every tenant gets a real K8s API server, etcd, and RBAC as a lightweight pod, not a physical cluster, not a namespace. Manage hundreds of isolated tenant clusters from a single control plane, proven across 100K+ GPU nodes and 50+ GPU clouds.
From isolated tenant control planes to fleet-wide Day 2 operations, vCluster handles the full k8s multi cluster management lifecycle.
Each tenant cluster runs its own API server, etcd, and scheduler as a lightweight pod inside the control plane cluster. For production GPU tenants, Private Nodes, dedicated worker nodes with per-tenant CNI and storage, are the default, delivering hardware-level isolation that approaches a dedicated physical cluster.
Manage all tenant clusters from a single UI, CLI, and API. Enforce SSO, quotas, and templates consistently across every cluster in your fleet: regardless of region or cloud.
Built-in observability, updates, backups, disaster recovery, and compliance management across your entire cluster fleet. No bespoke tooling required to keep hundreds of tenant clusters healthy and compliant.
Run a single central control plane that spans multiple clouds and data centers. Enforce consistent policies and tenant isolation across every region without duplicating management infrastructure.
Every tenant cluster is a fully conformant, CNCF-certified Kubernetes control plane: 100% API compatibility guaranteed. Tenants use standard tooling without modification, eliminating compatibility risk across your fleet.
This isn’t a side project. Behind every vCluster deployment is 5+ years of deep K8s engineering, security hardening, and battle-tested infrastructure work at massive scale.
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Go live with a hyperscaler-grade tenant experience in days
Traditional k8s multi cluster management tools manage fleets of physical clusters that already exist. vCluster goes a step further by virtualizing the Kubernetes control plane itself, each tenant gets a real API server, etcd, scheduler, and RBAC running as a lightweight pod inside a shared control plane cluster. This means you provision isolated tenant clusters in seconds without the cost or complexity of spinning up separate physical infrastructure, while retaining full fleet management across all environments.
Each tenant gets a fully isolated, CNCF-certified Kubernetes cluster with its own API server, etcd, scheduler, and RBAC. This is not namespace-level partitioning. Tenants have cluster-admin within their environment, can install their own CRDs, and manage their own resources: completely independent from other tenants and from the control plane cluster.
vCluster Platform provides a central control plane that spans multiple clouds and data centers. You manage all tenant clusters, regardless of where they run, through a single UI, CLI, and API. Consistent SSO, quotas, templates, and policies apply across every region, eliminating the operational fragmentation that comes with managing isolated per-region cluster fleets.
vCluster provides a flexible isolation spectrum: Private Nodes (the production default) where tenants get fully dedicated physical hardware with their own CNI and CSI, shared nodes with resource quotas scoped to dev, test, CI/CD, and trusted-team workloads, and dedicated nodes that eliminate noisy-neighbor GPU contention. For deeper workload isolation, vNode adds kernel-native security using seccomp, cgroups, namespaces, and AppArmor, without introducing VM overhead or sacrificing GPU performance.
Yes. vCluster currently powers 100K+ GPU nodes in production across 50+ GPU clouds and Fortune 500 customers including CoreWeave and Nscale. It is named in the NVIDIA DGX SuperPOD reference architecture. Boost Run launched a managed Kubernetes offering in fewer than 45 days using vCluster, and Lintasarta launched a GPU cloud in 90 days with hundreds of tenant clusters.
Yes. vCluster Platform integrates natively with Terraform, Argo CD, CI/CD pipelines, and self-service portals. Platform teams can provision, configure, and lifecycle-manage tenant clusters entirely through code. This makes k8s multi cluster management fully automatable: new tenant environments can be created programmatically without manual intervention from platform engineering.
See how vCluster simplifies k8s multi cluster management across your GPU infrastructure.
