Dedicated Kubernetes Environments for AI Clouds
Provision fully isolated, CNCF-certified tenant clusters on shared GPU hardware in seconds. vCluster delivers dedicated Kubernetes environments without the overhead of physical clusters.
Provision fully isolated, CNCF-certified tenant clusters on shared GPU hardware in seconds. vCluster delivers dedicated Kubernetes environments without the overhead of physical clusters.
Standard Kubernetes forces a tradeoff between tenant isolation and operational efficiency.
Tenants can see platform internals they should not — cluster-wide agents, other tenants' nodes and running pods.
Provisioning physical clusters per tenant multiplies hardware cost and adds hours of spin-up time per environment.
Based on vCluster customer conversations, building dedicated Kubernetes environments in-house typically requires 6 to 10 engineers, 6 to 12 months, with total investment often exceeding a million dollars.
vCluster virtualizes the Kubernetes control plane itself — giving every tenant their own API server, etcd, scheduler, and RBAC as a lightweight process. Dedicated Kubernetes environments spin up in seconds, proven across 100K+ GPU nodes and 50+ GPU clouds and Fortune 500 customers.
Every layer of the stack is designed to deliver strong tenant isolation and full Kubernetes compatibility without sacrificing performance.
Each tenant gets their own Kubernetes API server, etcd, and scheduler running as lightweight pods. Dedicated Kubernetes environments spin up in seconds with zero physical cluster provisioning.

Tenants receive fully dedicated physical nodes with their own CNI and CSI configuration. No workloads from other tenants share the same hardware, delivering complete node-level isolation.

Every dedicated Kubernetes environment is a fully conformant CNCF-certified cluster — 100% API compatibility. Tenants get a real Kubernetes cluster, not a proprietary or partial implementation.

Every tenant receives cluster-admin privileges within their dedicated environment. They can install CRDs, configure RBAC, and manage resources freely without impacting other tenants.

Manage hundreds of dedicated Kubernetes environments from a single control plane. Unified UI, CLI, and API with SSO, quotas, templates, and auto-sleep across the entire tenant 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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Deploy vCluster on your infra in minutes
Go live with a hyperscaler-grade tenant experience in days
vCluster virtualizes the Kubernetes control plane itself — each tenant gets their own real API server, etcd, scheduler, and RBAC running as isolated processes inside the host cluster. At the node level, Private Nodes give tenants fully dedicated physical hardware with their own CNI and CSI, meaning no other tenant's workloads run on the same machines. The result is a dedicated Kubernetes environment in every meaningful sense — isolated control plane, isolated data plane — without provisioning separate physical clusters.
Yes. Every tenant environment is a CNCF-certified Kubernetes cluster with 100% API compatibility. Tenants can use any standard Kubernetes tooling, install custom CRDs, configure RBAC, run Helm charts, and connect CI/CD pipelines exactly as they would with a standalone cluster. There is no proprietary API layer or partial Kubernetes implementation.
Tenant clusters spin up in seconds because the control plane runs as lightweight pods inside the host cluster — no physical infrastructure provisioning required. This is fundamentally different from provisioning a new physical cluster, which can take minutes to hours. The speed enables self-service workflows where tenants provision their own dedicated environments on demand.
vCluster offers a flexible isolation spectrum. Shared Nodes provide namespace-level boundaries on shared hardware. Private Nodes give tenants fully dedicated physical nodes with their own networking stack. Dedicated VMs add OS-level isolation for the control plane. vNode (currently in private beta) adds kernel-native workload isolation using seccomp, cgroups, and AppArmor at the workload level — without VM overhead or hypervisor tax. Teams can match isolation depth to their specific compliance and performance requirements.
Yes. The vCluster Platform includes a central fleet management layer with a unified UI, CLI, and API for managing all tenant clusters. Features like SSO, resource quotas, cluster templates, and auto-sleep work across the entire fleet. Boost Run launched a managed Kubernetes offering in less than 45 days, and Lintasarta launched Indonesia's leading GPU cloud in 90 days with 170+ tenant clusters under central management.
Yes. vCluster supports air-gapped and FIPS-compliant deployment configurations for environments with strict connectivity and regulatory requirements. This makes dedicated Kubernetes environments viable for regulated industries, government workloads, and enterprises with data residency constraints. Deployment is possible in fully disconnected environments without relying on public registries or external dependencies.
See how vCluster delivers isolated tenant clusters on GPU hardware in a live demo.