BUILT FOR AI FACTORIES
Run AI On-Prem Where Your Data Lives
Power your AI factory with vCluster and vNode. Deliver secure, high-performance, multi-tenant Kubernetes for pre-training, fine-tuning, and inference workloads, right where your data lives.
You’ve Got the Hardware.
Now Deliver the AI Experience.
Modern AI infrastructure demands more than GPUs; it needs a cloud-native control plane, workload isolation, and lifecycle automation. vCluster and vNode bridge the gap between traditional HPC hardware and the modern AI application layer.
Build scalable, multi-tenant environments for model training and serving
Avoid hypervisor overhead and VM sprawl
Provide cloud-like flexibility on bare metal or virtualized infra
The Platform Stack for On-Prem AI Factories
vCluster and vNode are the missing layer for bringing cloud-native AI infrastructure to on-prem environments. Deliver a secure, scalable, production-grade Kubernetes experience on GPUs—without rebuilding your platform stack.
Virtual Clusters
Provision isolated Kubernetes control planes for each AI team or workload.
- Lightweight, production-ready Kubernetes
- Full tenant-level RBAC, quotas, and policies
- Compatible with MIG, MPS, DRA, and GPU schedulers
Virtual Nodes
Run isolated workloads on shared or dedicated GPU nodes; no hypervisors required.
- Kernel-level security with native GPU access
- High utilization and bare metal performance
- Support for pre-training, fine-tuning, and inference
The Ideal Balance of Utilization and Control
Too often, AI infrastructure forces a tradeoff: maximize hardware use or ensure workload isolation—not both. vCluster and vNode eliminate that compromise, delivering secure, multi-tenant AI infrastructure with cloud-like flexibility and bare-metal performance.
Future-Proof Your AI Infrastructure with Flexible Tenancy Modes
Whether your use case is experimentation, production inference, or enterprise-scale training, vCluster supports all three GPU tenancy models, as well as hybrid setups.
Explore tenancy models
- Shared Nodes
Tenants share nodes dynamically within a single cluster, with isolation enforced at the node level using vNode. Ideal for batch inference or bursty AI workloads where high density matters. Shared services like CNI and CSI remain in place and require policies for secure multi-tenancy. - Dedicated Nodes
Each tenant is assigned dedicated GPU nodes using Kubernetes Node Selector, making it easy to isolate training or tuning workloads while still allowing flexible reassignment. Shared services such as CNI and CSI require additional policy controls for full isolation. - Private Nodes
Tenants get a fully isolated virtual cluster backed by private GPU nodes—effectively forming their own separate cluster. Ideal for sensitive or long-running model training. This includes isolated control planes, networking (CNI), storage (CSI), and all node-level components, delivering complete workload and infrastructure separation.
Runs on VMs or Bare Metal — Your Choice
vCluster is a certified Kubernetes distribution that runs on any standard Kubernetes node—virtualized or bare metal.
- Works with vSphere, KVM, and bare metal GPU clusters
- Provision Private Nodes using KubeVirt, ClusterAPI, OpenStack, or other open-source tools
- Flexible enough to support hybrid infrastructure setups
Trusted by Hardware & Platform Leaders
“We needed a way to deliver cloud-like AI infrastructure in private data centers. vCluster gave us a Kubernetes-native path to scale across hundreds of nodes with full isolation and lifecycle control.”
AI Infrastructure Architect
Global Hardware Vendor
Global Hardware Vendor
vCluster: Deliver Isolated Kubernetes for Every AI Team
Create lightweight, production-grade virtual clusters across your private AI infrastructure.
Multi-Tenant
Ready
Securely support dosens of AI teams and use cases on shared clusters
Full Stack Separation
Each workload gets its own API server, etcd, and RBAC
GPU-Aware Architecture
Compatible with MIG, MPS, DRA, and GPU schedulers
Lifecycle Automation
Integrate with CI/CD, GitOps, and internal orchestration tools
Instant Provisioning
Virtual clusters provision in less than 3s
vNode: Run Secure, High-Performance GPU Workloads at Scale
Securely isolate GPU workloads for model training, tuning, and inference, without VM overhead.
Hardened Isolation
Enforce kernel-level security on shared or dedicated GPU nodes
Bare Metal Speed
Direct GPU access with zero hypervisor tax
Flexible Tenancy
Support dedicated, shared, and hybrid models on one platform
AI/ML-Optimized
Built for performance-sensitive LLMs, fine-tuning, and real-time inference
Day-2 Ready
Scales to hundreds of nodes with simplified operations and updates
Why Enterprise Platform Teams Choose vCluster + vNode
Boost GPU ROI
Maximize utilization across AI factories
Ensure Strong Isolation
Support secure multi-tenancy and compliance
Accelerate Provisioning
Launch environments in seconds, not hours
Infrastructure Agnostic
Works on any certified K8s distro
Stand Apart from Hyperscalers
Handle upgrades, operators, and config at scale
Scale with Confidence
Shared, dedicated, or hybrid—all supported natively
Ready to Power the Next Generation of On-Prem AI?
Let’s talk about how vCluster helps deliver Kubernetes-native AI infrastructure across your private GPU fleet.