Create & Manage Tenant Clusters Like a Hyperscaler
- Launch your Kubernetes platform in days
- Automate tenant and infra provisioning
- Ensure strict isolation, including hardware isolation on bare metal infra
- Isolated Kubernetes environments per team, project, or training run
- Cloud-like self-service for ML engineers without new cluster overhead
- Maximize utilization with automatic allocation of nodes to tenants based on capacity needs
“With vCluster on DGX systems, you can bring the elasticity, automation, and multi-tenancy of Kubernetes onto your on-prem infrastructure. Get the experience of the public cloud on your DGX systems.”
- One platform to manage tenants across EKS, GKE, AKS, and private cloud
- Consistent developer experience regardless of the underlying infrastructure
- Shift workloads between environments without re-architecting
Virtual control planes, real isolation.
Choose the model that fits your infrastructure
- Faster spin up time
- Less resources needed
- Manage tenant control planes the Kubernetes-native way
- OS-level separation between every tenant
- Built for strict compliance requirements
- Works with KubeVirt or any VM provisioner
Choose the model that fits your infrastructure
- Dedicated nodes with no hardware sharing between tenants
- Full GPU memory isolation, no noisy-neighbor interference
- Meets the strictest compliance and data residency requirements
- Maximum tenant density on shared infrastructure
- Namespace isolation with network policies and resource quotas
- Lower cost per tenant
Combine with vNode for runtime-level isolation — or pair with gVisor or Kata Containers. Blocks container escapes and kernel exploits at the node level.
Your tenants see only their cluster.
Nothing else.
Most Kubernetes platforms expose control plane nodes, platform agents, and other tenants’ infrastructure to every tenant. vCluster virtualizes the control plane entirely, reducing your risk as a platform operator and giving your tenants the clean, isolated experience they’d get from a hyperscaler.
Standard Control Plane Nodes
- No isolation: Tenants see platform internals they shouldn’t. Hyperscaler clusters don’t expose this, they abstract it from any end-user.
- Security exposure: Control plane components can be compromised via tenant workloads
- Stability risk: Tenants can accidentally delete or modify platform components, causing downtime
Virtualized Control Plane
- Clean experience: Tenants see only their own cluster’s worker nodes and pods: the isolated view they’d expect from a hyperscaler
- No security exposure: Control plane and platform components are fully hidden from tenant workloads
- No stability risk: Platform infrastructure is protected from accidental changes or deletions by tenants
You think you can DIY this?
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.
Plus 1M+ CPU nodes in production and growing
Battle tested at massive scale across enterprise and hyperscaler environments
Continuously growing as new chip generations and K8s versions ship
5+ years of R&D and product engineering by a team of infra and distributed systems experts
Control planes that auto-heal and self-scale. Tenant disruptions can’t take your platform down.
Runs millions of production clusters across every major cloud and bare metal environment.
Hardened by default: tenant isolation, RBAC, and network policies built in from day one.
Including containerd and Linux kernel-level attack surfaces. Most platforms never go this deep.
Deep infra and Kubernetes experts on call. Not a generalist tier-1 help desk.
Production-tested by thousands of teams worldwide and backed by a massive open source community.
Officially CNCF certified. Build on standards, not proprietary lock-in.
New features, chip generation support, and K8s version compatibility shipped continuously, not quarterly.
The best in the industry trust vCluster.
From R&D to production: how to build a secure, multi-tenant NVLink cluster that scales.
A blueprint for bringing cloud-grade elasticity and automation to NVIDIA DGX systems.
A conversation on enterprise Kubernetes operations at scale with two of the world’s largest infrastructure teams.
NScale on building a production GPU cloud using vCluster for tenant isolation at scale.
Your playbook for scaling Kubernetes securely with multi-tenancy that actually works.
How Adobe uses vCluster to deliver isolated Kubernetes environments to internal teams.
Deploy vCluster in minutes.
# vcluster.yaml
privateNodes:
enabled: true
controlPlane:
service:
spec:
# could also be LoadBalancer if available
type: NodePort# vcluster.yaml
sync:
fromHost:
nodes:
# set to true for real node specs
enabled: falseDeploy on...
Talk to a Kubernetes expert and get a live walkthrough built around your use case.
