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.
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 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 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.
Explore tenancy models
- Shared Nodes
Soft isolation on a shared GPU cluster. Fast to deploy and high-density (ideal for serverless GPU functions). - 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. - 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
Fortune 500 Finance Company
vCluster: Build Isolated Kubernetes Environments for Every Team
Create lightweight, production-grade virtual clusters on shared GPU infrastructure.
Instant Self-Service
Spin up fully isolated Kubernetes control planes in seconds
Real Kubernetes Experience
Each team gets its own API server, etcd, and RBAC
Integrates Easily
Automate via CI/CD, APIs, or internal portals
AI/ML-Ready
Supports any workload using NVIDIA, PyTorch, TensorFlow, and more
Run at Scale
Host hundreds of virtual clusters on a single GPU fleet
vNode: Secure GPU Workload Isolation Without the Overhead
Isolate GPU workloads per team or tenant using kernel-level security—no VMs required.
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
Ready to Maximize GPU Utilization?
Schedule a call to learn how to get more out of your GPUs—while giving developers isolated, on-demand access they’ll love.