Stop provisioning full clusters for every GPU tenant. vCluster virtualizes the Kubernetes control plane so tenant clusters spin up in seconds on shared bare metal, with full API server, etcd, and RBAC per tenant.
Scaling GPU tenants with standard Kubernetes forces painful tradeoffs between isolation, cost, and speed.
Tenants can see platform internals they should not — cluster-wide agents, other tenants' nodes and pods, shared blast radius.
Provisioning separate physical clusters per tenant drives up costs, slows onboarding, and wastes GPU capacity at scale.
Building a GPU cloud platform yourself takes 6 to 10 engineers, 6 to 12 months, and significant capital investment.
vCluster virtualizes the Kubernetes control plane itself — running CNCF-certified tenant clusters as lightweight pods inside a host cluster. Every tenant gets a real API server, etcd, scheduler, and full cluster-admin without a single additional physical machine. Production-proven across 100K+ GPU nodes and 50+ GPU clouds.
A virtual control plane for Kubernetes that spans every layer — from bare metal provisioning to tenant cluster orchestration to workload-level security.
Each tenant gets a dedicated Kubernetes virtual control plane running as a pod — own API server, etcd, and scheduler — spinning up in seconds on shared GPU infrastructure with near-zero overhead.
Every tenant cluster is a fully conformant, CNCF-certified Kubernetes distribution — 100% API compatibility. Tenants run standard tooling, operators, and CRDs without hitting proprietary limitations.
Tenants requiring hard isolation get fully dedicated physical GPU nodes with their own CNI and CSI. No shared compute, no noisy-neighbor risk — complete hardware separation within the virtual control plane model.
vNode (currently in private beta) adds kernel-native workload isolation using seccomp, cgroups, namespaces, and AppArmor — preventing container breakouts at bare metal GPU performance. No hypervisor tax, no performance tradeoff.
Manage all tenant clusters from a single control plane via UI, CLI, and API. SSO, quotas, templates, and auto-sleep are built in — so platform teams operate hundreds of tenant environments without custom tooling.
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
A virtual control plane in Kubernetes is a fully isolated tenant K8s API server, etcd, and scheduler that runs as a lightweight process inside a host cluster — rather than on dedicated physical infrastructure. vCluster implements this model so each tenant gets a real Kubernetes control plane with full API compatibility, cluster-admin rights, and independent RBAC, without requiring separate physical machines. This is fundamentally different from namespace isolation, which shares a single control plane across all tenants.
Namespace isolation partitions resources within a single shared Kubernetes control plane. Tenants can still see cluster-wide agents, nodes, and platform internals they should not access. A virtual control plane gives each tenant their own API server and etcd entirely — so one tenant's activity cannot affect another's control plane state. This makes virtual control planes significantly stronger for GPU cloud environments where tenant security and API-level isolation are requirements.
Yes. vCluster includes a standalone binary mode that runs a lightweight Kubernetes distribution directly on bare metal — no k3s, kubeadm, or external Kubernetes dependency required. Virtual control planes for each tenant then run as pods inside that base layer. This approach powers more than 100K GPU nodes in production across 50+ GPU clouds, including GPU cloud providers that launched managed Kubernetes offerings in under 90 days.
vCluster has created more than 40 million virtual clusters across its production deployments, with customers running hundreds of isolated tenant environments on shared GPU infrastructure. The virtual control plane model adds near-zero marginal overhead per tenant because control planes run as lightweight pods — not full physical clusters. Actual scale depends on host cluster capacity, workload profiles, and the isolation tier selected for each tenant.
Yes. Each tenant cluster created by vCluster is a CNCF-certified Kubernetes distribution with 100% API compatibility. Tenants can install custom CRDs, configure RBAC, and use any standard Kubernetes tooling or operator without hitting proprietary API limitations. vCluster is also named in the NVIDIA DGX SuperPOD reference architecture and referenced in SemiAnalysis ClusterMax evaluation criteria for GPU cloud providers.
Boost Run launched a managed Kubernetes offering in fewer than 45 days with zero new platform engineering hires. Lintasarta built Indonesia's leading GPU cloud in 90 days with more than 170 tenant clusters running on vCluster. These timelines reflect the virtual control plane approach — tenant clusters spin up in seconds, and the platform ships with fleet management, self-service portals, and Day 2 operations built in, eliminating months of custom development.
See how a virtual control plane for Kubernetes scales your GPU cloud without physical cluster overhead.
