MAXIMIZE GPU EFFICIENCY

Achieve High GPU Utilization Without Sacrificing Isolation

Build your internal GPU cloud with vCluster and vNode, so developers get fast, secure access to GPUs, and your organization gets the most from every card.

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You’ve Got the GPUs. Now Unlock Their Full Potential.

Most enterprise GPU clusters are either underutilized or over-shared. Either developers get isolated environments at the cost of efficiency—or GPU resources are pooled with limited control and security. With vCluster and vNode, you get the best of both.

Maximize utilization across every node, card, and team
Guarantee tenant isolation for compliance, stability, and control
Enable rapid self-service for AI/ML teams and developers

The Platform Stack for a High-Performance Internal GPU Cloud

vCluster and vNode are the core building blocks behind modern, multi-tenant Kubernetes platforms—especially for GPU infrastructure. Deliver real, production-grade Kubernetes to every team across your internal GPU cloud—securely and efficiently.

Virtual Clusters

Provision isolated Kubernetes environments for each team without spinning up more clusters.

Fast, production-grade K8s control planes
Full RBAC, quota, and policy isolation
Compatible with DRA, MIG, MPS, and other GPU-sharing tech

Virtual Nodes

Securely run multiple GPU workloads on the same node using hardened, kernel-level isolation.

No VMs or hypervisors
Native access to GPU devices
Works with MIG, MPS, and Kubernetes device plugins

The Ideal Balance of Efficiency and Security

Too often, you’re forced to choose between utilization and isolation: traditional approaches optimize for one and sacrifice the other. vCluster and vNode remove that tradeoff, delivering the highest GPU efficiency with the strongest multi-tenant isolation in a single, unified solution.

Utilization

Isolation

Namespaces Only

Namespaces + MIG/MPS/DRA

vCluster + vNode

vCluster + vNode + MIG/MPS/DRA

Future-Proof Your GPU Strategy with Flexible Tenancy Modes

Unlike other solutions locked into a single mode, vCluster uniquely supports multiple GPU tenancy models—including powerful hybrid setups combining isolation and efficiency.

1. Shared Nodes
Tenants share nodes dynamically within a single cluster, with isolation enforced at the node level using vNode. Shared services like CNI and CSI remain in place and require policies for secure multi-tenancy.
2. Dedicated Nodes
Each tenant is assigned dedicated GPU nodes using Kubernetes Node Selector, making it easy to isolate workloads while still allowing flexible reassignment. Shared services such as CNI and CSI require additional policy controls for full isolation.
3. Private Nodes
Tenants get a fully isolated virtual cluster backed by private GPU nodes—effectively forming their own separate cluster. 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 Platform Teams at Global Scale

“We replaced our 1-cluster-per-team setup with virtual clusters and virtual nodes on a shared fleet. Now every team has what feels like their own dedicated GPU platform, with far better utilization.”

Platform Lead, Fortune 500 Finance Company

Build Isolated Kubernetes Environments for Every Team

Create lightweight, production-grade virtual clusters on shared GPU infrastructure.

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vNode: Secure GPU Workload Isolation Without the Overhead

Isolate GPU workloads per team or tenant using kernel-level security—no VMs required.

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Hardened Isolation: Secure workloads on shared or dedicated GPU nodes
Maximum Performance: Direct access to GPUs with zero hypervisor tax
Flexible Sharing Models: Supports both dedicated and shared tenancy in one system

Built for AI/ML: Optimized for inference, fine-tuning, and large model training
Operates at Scale: Simplifies isolation across fleets of GPU nodes

Why Enterprise Platform Teams Choose vCluster + vNode

Maximize GPU ROI
Share infrastructure securely, boost utilization to 90%+

Maintain Strong Isolation
Meet security and compliance needs with tenant-level boundaries

Faster Provisioning
Launch environments in seconds, not hours

Integrates with Existing Tools
CI/CD, portals, and self-service interfaces

Future-Proof Tenancy
Support shared, dedicated, and hybrid tenancy without rearchitecting

Works Anywhere
CNCF-compliant, works with any certified K8s distro