ai-cloud

Network Isolation GPU Cluster for AI Clouds

Use Private Nodes for dedicated tenant compute and configure Netris network environments for hardware-backed L2 isolation. Each tenant cluster also receives its own virtualized control plane and RBAC boundary.

Trusted by the fastest-growing AI cloud providers
Problem

Isolation on Shared GPU Infrastructure Is Hard

Shared GPU infrastructure needs network boundaries that match the trust level of its tenants.

Namespace Isolation Is Too Weak

Namespace-only designs depend on shared cluster and network components that are unsuitable for untrusted tenants.

Separate Physical Clusters Are Too Expensive

A separate management stack for every tenant adds infrastructure and operational work.

DIY Network Segmentation Breaks Down at Scale

Manual network configuration becomes harder to apply consistently as tenant environments change.

Solution

Hardware-Level Network Isolation Per Tenant Cluster

vCluster uses Private Nodes for dedicated production compute and can integrate with Netris for hardware-backed L2 isolation. Each tenant also receives a separate virtualized control plane and RBAC boundary.

Isolation Features Built for GPU Cluster Scale

Combine isolated tenant control planes, Private Nodes, and optional Netris hardware network isolation for GPU infrastructure.

Network Isolation

Per-Tenant VLANs, VRFs, and ACLs

Netris integration can attach each tenant network environment to its own hardware-backed L2 boundary.

  • Hardware-enforced per-tenant network boundaries
  • VLANs, VXLANs, VRFs, and ACLs automated
  • Netris network automation
Hardware Isolation

Private Nodes With Per-Tenant CNI

Private Nodes dedicate physical or virtual worker capacity, networking, and storage to one tenant cluster at a time.

  • Dedicated physical GPU nodes per tenant
  • Per-tenant CNI and storage stack
  • No shared hardware between tenants
Workload Security

Kernel-Native Container Breakout Protection

vNode uses Linux user namespaces and seccomp filters to strengthen the runtime boundary for tenant workloads.

  • Seccomp, cgroups, namespaces per workload
  • No VM layer on bare metal performance
  • Stronger runtime boundary
Tenant Clusters

Isolated Control Planes Per GPU Tenant

Every tenant cluster gets its own virtualized API server and RBAC boundary on the control plane cluster.

  • Own API server and etcd per tenant
  • Provisioned in as little as one minute
  • Full RBAC isolation per tenant cluster
Compliance

Air-Gapped and FIPS-Ready Deployments

vCluster Platform supports air-gapped deployments and FIPS features on supported plans for regulated deployment patterns.

  • Air-gapped data center deployment supported
  • FIPS features on supported plans
  • Regulated deployment patterns

Why vCluster

This isn’t a side project. Behind every vCluster deployment is 5+ years of deep K8s engineering, security hardening, and battle-tested infrastructure work at massive scale.

100K+
GPUs Powered
50+
GPU Clouds & F500s
<45
Days to Launch
30K
GitHub Stars

Get Started in 3 Steps

1
Schedule a Demo

Talk to our team about your stack

2
Deploy vCluster

Deploy vCluster on your infra in minutes

3
Onboard Your Tenants

Go live with a hyperscaler-grade tenant experience in days

FAQs

How does vCluster enforce network isolation between GPU cluster tenants?

Private Nodes give each production tenant dedicated worker nodes and tenant-scoped networking. With the Metal3 and Netris integration configured, each network environment can receive its own hardware-backed L2 boundary.

Is this stronger than Kubernetes namespace-based network isolation?

In our analysis, namespace and NetworkPolicy controls operate inside shared cluster and network infrastructure. Private Nodes separate worker capacity, and Netris can move the network boundary into the physical fabric for untrusted tenants.

Can I run a network isolation GPU cluster without provisioning separate physical clusters?

Yes. The tenant control plane runs as isolated pods on the control plane cluster, so it does not require separate control-plane servers. Private Nodes still provide dedicated production worker capacity.

Does hardware-level network isolation affect GPU performance?

Private Nodes run tenant workloads directly on their assigned worker nodes. vNode can add a stronger runtime boundary without adding a VM layer, while the GPU driver and device plugin remain responsible for presenting GPU resources.

Does vCluster support compliance requirements for isolated GPU clusters?

vCluster Platform supports air-gapped deployments and FIPS features on supported plans. Netris network integration provides hardware-backed L2 isolation when configured for separate tenant network environments.

How quickly can I deploy a network-isolated GPU cluster environment?

Tenant control planes can be created quickly. Bare metal provisioning time depends on the infrastructure driver, server state, OS image, and network configuration.

Ship Hard Network Isolation at GPU Scale

See how vCluster delivers per-tenant VLANs, Private Nodes, and hardware-enforced isolation.