SOVEREIGN CLOUDS
Launch a Sovereign AI Cloud in Weeks.
Meet your data residency requirements. Give customers the hyperscaler Kubernetes experience. Operate your bare metal like a cloud. One platform. No compromises.
Trusted by sovereign AI cloud providers worldwide
The Market Reality
Sovereignty is baseline. Platform experience is what wins.
Sovereign cloud buyers aren’t just looking for a data residency checkbox. They’re evaluating three things at once, and most platforms can only deliver one of them.
Compliance is table stakes
Your customers need workloads to stay in-country, under your governance, with provable tenant isolation. That’s the entry requirement, not the differentiator.
Customers want the hyperscaler UX
They’ve used AWS EKS and Google GKE. They expect self-service Kubernetes environments, instant provisioning, and full compatibility with their existing tooling, on your sovereign infrastructure.
You’re running real bare metal
There’s no managed cloud below you. You provision, you operate, you maintain GPU servers. Your platform has to work from the ground up, without a team of infrastructure engineers for each layer.
The platforms winning sovereign cloud deals deliver all three at once.
Compliance enforcement at the infrastructure layer. A Kubernetes experience customers actually want to use. Bare metal operations that don’t require a separate toolchain. That’s the full platform story, and it’s exactly what vCluster was built to deliver.
The Landscape
Most approaches to Kubernetes on sovereign GPU infrastructure break at scale
Sovereign cloud providers need something purpose-built for their reality, not an enterprise tool adapted to it. The alternatives all fall short in the same ways.
DIY: Build It Yourself
Slow to build
Requires stitching Kubernetes, custom tooling, and homegrown isolation together. Most teams are still building two years in.
Legacy Cluster Managers
Not built for GPUs
Heavy enterprise platforms designed for traditional apps. Not architected for AI workloads, bare metal, or GPU-native multi-tenancy.
Pivoting Cluster Managers
Unproven at scale
Limited real-world deployments and production track record. You don’t want to be the reference customer that proves their tech works.
vCluster
Purpose-Built for Sovereign AI
- Launch managed Kubernetes in weeks, not months
- Lightweight Kubernetes built for GPU infrastructure
- Built to scale multi-tenant GPU platforms
- Easy to extend and build on
Proven in production
Trusted by Nscale, Lintasarta, and Polarise, sovereign AI cloud providers on three continents.
One Platform. Four Layers. Everything You Need to Run a Sovereign AI Cloud.
vCluster delivers the complete infrastructure stack, from bare metal GPU provisioning up through sovereign tenant environments and ready-to-run AI/ML stacks. Each layer is production-proven and works independently or as a unified platform.
Certified Stacks
Sovereign AI/ML environments, turnkey
Hard workload isolation, no VM overhead
Full Kubernetes per tenant, within your boundary
Operate GPU infrastructure like a cloud
The cloud experience on your sovereign platform
Give every customer a turnkey AI/ML environment, Run:AI, Ray, Jupyter, that looks and feels like a hyperscaler service, all running on your in-country infrastructure.
Consistent, compliant environments at scale
Every customer environment inherits your sovereignty policies at creation time. No configuration drift, no manual compliance review per tenant.
Self-service for customers, control for you
Customers get the self-service provisioning they expect from AWS. You maintain full visibility and governance over every environment on your platform.
Hard boundaries between tenant workloads
Kernel-level isolation using seccomp, cgroups, and namespaces ensures workloads from different customers cannot interact, critical for sovereign compliance.
Bare metal GPU performance, fully preserved
Direct GPU access with near-zero overhead. No hypervisor tax, no passthrough complexity. Full H100 and A100 performance for every isolated tenant workload.
Safe root access for AI/agentic workloads
AI inference and agent runtimes often need dynamic package installs and elevated permissions. vNode delivers this safely, within strict isolation boundaries.
Every customer gets their own control plane
Each tenant gets a fully isolated Kubernetes API server, etcd, and RBAC, on your shared GPU infrastructure. Sovereignty enforced structurally, not by policy.
Maximize GPU utilization across all tenants
Hundreds of isolated customer clusters share the same GPU nodes. Stop leaving H100 and A100 compute idle because workloads can’t cross cluster boundaries.
Provision new environments in under 3 seconds
New customer environments spin up in seconds, not hours. Your sovereign cloud platform scales as fast as your sales team can close deals.
Zero-touch bare metal provisioning
PXE boot and configure GPU servers automatically. New hardware joins your fleet without manual intervention, keeping your data center in-country and under your control.
Full machine lifecycle management
Provision, upgrade, repurpose, and decommission hardware from one platform. No fragmented tooling, no vendor dependency for your sovereign infrastructure layer.
Hard network isolation, per tenant
Powered by Netris: hardware- enforced multi-tenancy with programmatic VLANs, VRFs, ACLs, and DPU policies provisioned across your full fabric. Hard network boundaries, zero manual ops.
Compliance and Regulatory Readiness
What sovereign cloud buyers actually need to close regulated deals
The requirements that matter to enterprise and government procurement teams, and why architecture is the only way to satisfy them.
GDPR, DORA, and NIS2 Ready
Structural data residency satisfies regulatory obligations for EU financial services, healthcare, and critical infrastructure buyers. Sovereignty enforced by architecture, verifiable by auditors.
Air-Gap and Offline Deployments
Deploy in fully disconnected environments with zero external dependencies. Critical for government, defense, and regulated enterprise sovereign cloud use cases.
No US Cloud Dependency
Deployable with zero calls to US- owned cloud services. Removes CLOUD Act exposure for EU regulated buyers who require that workloads never traverse non-EU infrastructure.
Per-Tenant Audit Trails
Full API audit logs, RBAC history, and resource usage per customer. Everything procurement teams and compliance auditors need to sign off on, scoped to each tenant.
Custom Governance Per Tenant
Apply different compliance profiles, network policies, and resource quotas to different customers. Enterprise commitments get stricter controls; dev tenants get more flexibility.
Procurement-Grade Isolation
Isolation backed by real Kubernetes API boundaries, not namespace labels. The architectural separation that enterprise and government procurement teams can verify, document, and sign off on.
Why vCluster
Why sovereign cloud providers choose vCluster
NVIDIA-validated architecture
Part of the NVIDIA DGX Reference Architecture for Sovereign AI. The validated choice for GPU cloud providers building sovereign AI infrastructure.
Open-source, fully auditable
No proprietary APIs, no vendor black boxes. Full source code transparency that regulated enterprise and government procurement teams require.
Scales without platform redesign
From 10 to hundreds of tenant clusters without re-architecting your platform. Proven at the scale of Nscale’s 100K GPU sovereign AI fleet.
Works with your existing toolchain
Helm, Cluster API, kubectl, Rancher, ArgoCD. No new tooling required for your platform team or your customers.
AI cloud operators are the core customer
Not a side project adapted from an enterprise tool. vCluster is purpose-built for GPU cloud providers, and sovereign cloud is a first-class use case on the roadmap.
Won in production at every level of regulation
Deployed by providers serving EU financial services, APAC government, and regulated enterprise. Proven across the strictest sovereign procurement requirements in the market.
Customer Stories
Sovereign AI cloud providers running vCluster in production
100K
GPUs planned for AI supercluster infrastructure
View case study
100%
Data residency enforced at the infrastructure layer, not policy
View case study
170+
Virtual clusters
in production
View case study
“vCluster lets us turn GPU infrastructure into customer-ready AI environments at a pace that was previously impossible. This is how we deliver on our promise of sovereign AI, fast, open, and fully European.”
Nicolas Kremer
CTO @ Polarise
CTO @ Polarise
Recommended Reading
Go deeper on sovereign AI cloud infrastructure
GUIDE
How to Build a Sovereign AI Cloud on Bare Metal GPUsA practical guide for EU neocloud operators delivering a hyperscaler-grade Kubernetes experience with full data sovereignty and no US cloud dependencies.
Read guide
GUIDE
vCluster Guide to Achieve ClusterMAX™ Platinum RatingLearn how to deliver enterprise-grade Kubernetes for AI workloads and improve ClusterMAX™ rating.
View guide
BUYER'S GUIDE
AI Cloud Buyer’s Guide to Kubernetes GPU PlatformsWhat to look for, what the alternatives get wrong, and what separates platforms built for AI infrastructure from those that aren’t.
Read guide
Your customers need sovereign Kubernetes. Your infrastructure can deliver it.
Join the sovereign GPU cloud providers across Europe, Asia, and beyond who trust vCluster to run compliant, isolated Kubernetes at scale.
