Launch Your Managed Kubernetes Service for GPUs, Faster
They want Kubernetes. You’ve got GPUs. Launch your managed service fast—with the flexibility, performance, and scalability your customers expect.
The Demand Is Real and Growing
Demand for managed Kubernetes on GPUs is surging. 40% of GPU cloud customers want a turnkey, Kubernetes-native service. Don’t let competitors or hyperscalers get there first. vCluster and vNode provide the architecture you need to build it fast, flexible, and production-ready.
Launch in weeks, not months.
Deliver great tenant autonomy.
Scale with confidence.
Support every GPU use case.
Introducing Virtual Clusters & Virtual Nodes
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 GPU customer fast.
Virtual Clusters
Give each customer their own Kubernetes control plane—API server, etcd, and RBAC— on shared infra. No separate physical clusters.
- Fast to provision
- Fully isolated
- Supports any tenant workloads using a certified K8s distro
Virtual Nodes
Isolate tenant workloads at the node level using hardened, kernel-based security—without VMs or hypervisors.
- Secure by design
- Bare metal performance on GPUs
- Supports shared & dedicated tenancy models
3 Deployment Models to Power Your GPU Cloud Offerings
Whether you’re launching a serverless GPU service (ECS-style) or a full-scale managed Kubernetes platform (EKS-style), these deployment modes give you the flexibility to deliver the right experience for every customer.
- 1. Shared Nodes
Soft isolation on a shared GPU cluster. Fast to deploy and high-density (ideal for serverless GPU functions). - 2. Dedicated Nodes
Hard isolation via node labels. Dedicated GPU pools per tenant for a managed Kubernetes service. - 3. Private Nodes
True node-level isolation, host GPUs join each vCluster as native nodes for the full Kubernetes experience.
“Our customers were asking for real Kubernetes, not a stripped-down version. vCluster let us launch a managed K8s service quickly and scale confidently. We’re giving customers what they want and doing it faster than the big hyperscalers.”
Cloud Platform Lead, Leading GPU Cloud Vendor
vNode: Secure Workload Isolation at the Node Level
Securely isolate tenants on dedicated GPU nodes within a shared host cluster.
Strong Tenant Isolation: Secure workloads on dedicated GPU nodes
Direct GPU Access: High performance, zero virtualization overhead
Shared or Dedicated: Support both multi-tenant models in one platform
AI/ML Ready: Built for training, inference, and fine-tuning
Scales with You: Isolation without the complexity of building it yourself
Why GPU Cloud Providers Choose vCluster + vNode
Launch Faster
Go to market in weeks with scalable control planes and built-in isolation.
Deliver a Premium Experience
Provide every customer a fully isolated, production-grade K8s environment.
Support Multiple Tiers
Offer shared, dedicated, or bring-your-own-node deployment models.
Boost Revenue per GPU
Maximize utilization without sacrificing performance or customer trust.
Stand Apart from Hyperscalers
Build a Kubernetes offering purpose-built for AI/MLworkloads.
Scale with Confidence
Proven architecture built to handle thousands of clusters and GPUs.
“vCluster is the first proven solution for operationalizing virtual Kubernetes clusters at scale and we continue to be impressed by the LoftLabs team and the innovations they ship to customers like us.”