Run your AI cloud like a hyperscaler.
One platform to turn raw GPUs into every kind of cluster, from bare metal up to Kubernetes, Slurm, inference, and more.
Every cluster is a managed product you can ship.
Sell to customers or serve internal teams, all from one platform.
Clusters
Ship any cluster as a product
Kubernetes Clusters
Nested Clusters
Oss
Slurm Clusters
Beta
Run:AI Clusters
Ray Clusters
Inference Clusters
Dynamo · llm-d · + more
Soon
Agent Sandbox Clusters
Soon
+ more clusters
Platform for Tenant Management
Operate every tenant at scale
Cluster Templates
Capacity Management
Observability
Node Autohealing
Soon
Billing
Alpha
One stable API to consume
Machines
Provision hardware like a cloud
Bare Metal Machines
Virtual Machines
Node provisioning & lifecycle management
Drivers
Future-proof your node provisioning
Bare Metal Provisioning Drivers
+ more
Network Automation
VM Provisioning Drivers
+ more
YOUR GPU INFRASTRUCTURE
Bare metal GPU & CPU servers · Networking · Storage
Why The AI Industry’s Best Leaders Rely on vCluster
Turnkey today, APIs when you’re ready to build your own.
It’s a two-way door: start turnkey, evolve to building blocks, with no re-platforming.
Every tenant gets their own isolated cluster. Nothing else.
Standard Kubernetes
Tenants see the platform’s internals and every other tenant.
With vCluster
Each tenant sees only their own isolated cluster.
Standard Slurm
Tenants see the platform’s internals and every other tenant.
With vCluster
Each tenant sees only their own isolated cluster.
Standard Run:AI
Tenants see the platform’s internals and every other tenant.
With vCluster
Each tenant sees only their own isolated cluster.
Standard Ray
Tenants see the platform’s internals and every other tenant.
With vCluster
Each tenant sees only their own isolated cluster.
One platform. Every kind of builder.
Unlock more revenue with a hyperscaler-like experience for your customers
- Managed clusters of every kind, from Kubernetes and Slurm to Ray and inference
- Automate tenant, cluster, and bare metal provisioning end to end
- Deep integration into your network and hardware layer
Trusted by the fastest-growing AI cloud providers
Give every AI team the GPU access they need, without multiplying your infrastructure
- Isolated clusters per team, project, or training run
- Cloud-like self-service for ML and research teams, with no new infrastructure overhead
- Maximize utilization with automatic node allocation based on capacity needs
Reference Architecture: vCluster on NVIDIA DGX
“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.”
Provision clusters across any public or private cloud, and shift workloads freely
- One platform to manage tenants across EKS, GKE, AKS, bare metal, and private cloud
- Consistent developer experience regardless of the underlying infrastructure
- Shift workloads between environments without re-architecting
Trusted by the teams at
Why vCluster
You think you can DIY this?
This isn’t a side project. Behind every deployment is 5+ years of deep infrastructure engineering, security hardening, and battle-tested operations at massive scale.
100K+
GPUs powered
1M+
CPUs powered
50+
GPU clouds & Fortune 500s
40+
Hardcore infra engineers
Resilient by design
Auto-healing control planes that keep tenants online.
Hardened and pentested to the kernel
Isolation, RBAC, and kernel-level security audits.
Real 24/7 expert support
Infra engineers on call, not a tier-1 help desk.
Always shipping
New chip and feature support continuously, not quarterly.
The best in the industry trust vCluster.
NVIDIA GTC 2026
Architecting Production-Grade NVLinked GPU Clusters for AIFrom R&D to production: how to build a secure, multi-tenant NVLink cluster that scales.
Watch session
Ebook
vCluster on NVIDIA DGX Systems Reference ArchitectureA blueprint for bringing cloud-grade elasticity and automation to NVIDIA DGX systems.
Read architecture
Conference Talk
Kubernetes at Enterprise Scale: JPMorganChase, NVIDIA & vCluster on AI InfrastructureA conversation on enterprise Kubernetes operations at scale with two of the world’s largest infrastructure teams.
Watch talk
YouTube
How Nscale Builds Kubernetes Platforms on Bare MetalNScale on building a production GPU cloud using vCluster for tenant isolation at scale.
Watch talk
4 books with a chapter on vCluster
Featured in leading Kubernetes and platform engineering booksYour playbook for scaling Kubernetes securely with multi-tenancy that actually works.
Browse the books
YouTube
Kubernetes Multi-Tenancy at Adobe ScaleHow Adobe uses vCluster to deliver isolated Kubernetes environments to internal teams.
Watch talk
GET STARTED
Deploy vCluster in minutes.
With a few simple commands, you can create your first cluster and define how workloads are isolated — all with a lightweight vcluster.yaml config.
Tenant clusters run on fully separate nodes with their own CNI, CSI, and control
# vcluster.yaml
privateNodes:
enabled: true
controlPlane:
service:
spec:
# could also be LoadBalancer if available
type: NodePortTenant clusters share the host’s nodes and plugins
# vcluster.yaml
sync:
fromHost:
nodes:
# set to true for real node specs
enabled: falseDeploy on...
EKS
GKE
AKS
Rancher
Bare Metal
KubeVirt
Tanzu
OpenShift
Private Cloud
Standalone
EKS
GKE
AKS
Rancher
Bare Metal
KubeVirt
Tanzu
OpenShift
Private Cloud
Standalone
See vCluster in action.
Talk to an AI infra expert and get a live walkthrough built around your use case.
