The #1 infrastructure platform for AI Clouds.
The architecture trusted by today’s fastest-growing AI Cloud providers.
Validated by
Where it started
CoreWeave didn’t just evaluate vCluster. They helped shape it.
CoreWeave Classic, the original CoreWeave managed Kubernetes offering, was built on vCluster. Their team helped define what hosted tenant Kubernetes for GPU infrastructure looks like.
Anchor
customer
Early design
partner
2022
Customer since the
first wave of AI Clouds
vCluster is the first proven solution for operationalizing virtual Kubernetes clusters at scale and we continue to be impressed by the vCluster team and the innovations they ship to customers like us.
Brian Venturo
CSO, CoreWeave
Proof, not promises
Boost Run launched a GPU-native managed Kubernetes service in 45 days.
Boost Run had the talent to build managed Kubernetes themselves. They chose vCluster instead.
<45
Days from decision
to production launch
0
New platform engineering
hires required
1
Unified Kubernetes
platform for every tenant
NVIDIA
Preferred Cloud
Service Provider
Partnering with vCluster was a deliberate strategic decision. It let us move at the speed our market demands without compromising on enterprise-grade quality.
Andrew Karos
CEO, Boost Run
Customer stories
Hear it from the operators who shipped.
How QumulusAI deploys AI infrastructure in minutes, not days
The ability to have a consistent delivery model, have Kubernetes as a service on a platform where you can bring in the latest generation, spin it up, tear it down, do it repeatably. That’s super powerful to enable those organizations and further drive the speed of innovation.
How Boost Run is building a full AI Cloud, not just a GPU provider
Do we spend multiple millions getting a Kubernetes stack up and running on our own, or do we partner with a firm that has actually done this before and can produce value in a very short amount of time? We picked the latter approach, obviously.
Proven at scale
AI Clouds standardize on tools that hold up at scale
Production AI Clouds. All built on vCluster.
100K
GPUs planned for AI
supercluster infrastructure
1 min
To spin up isolated K8s
environments
100%
Data residency enforced at
the infra layer
170+
Tenant clusters currently in
production
Also building on vCluster
Validated by NVIDIA
vCluster is the Kubernetes layer in NVIDIA’s DGX reference architecture.
We’re excited to collaborate with vCluster on their Infrastructure Tenancy Platform for AI. With vCluster on DGX systems, you can bring the elasticity, automation, and tenant isolation of Kubernetes onto your on-prem infrastructure. Get the experience of the public cloud on your DGX systems.
NVIDIA Data Center
@NVIDIADC
Networking partnership
Zero-touch network isolation for every tenant cluster.
Partnering with vCluster delivers cloud-grade automation for Kubernetes, giving AI operators the foundation to run securely, onboard tenants instantly, and monetize GPUs faster.
Alex Saroyan
CEO, Netris
- Per-tenant Layer 2 and Layer 3 domains, provisioned automatically
- Zero manual VLAN, ACL, or switch configuration
- NVIDIA-validated network automation platform
NVIDIA Run:AI conformant
Certified Stacks deliver production-ready AI environments, validated by NVIDIA.
Running AI at scale requires more than GPUs. It requires a platform that can coordinate scheduling, isolation, and infrastructure across the entire stack. vCluster Certified Stacks allow organizations to deploy NVIDIA Run:ai as a production-grade AI platform with strong tenant isolation.
Omri Geller
Vice President, NVIDIA
Run.ai Stack
Jupyter + VS Code
Developer environments
App Layer
Run:ai Scheduler
GPU workload scheduling
Scheduler
CoreDNS + Metrics
Cluster services
Essentials
vCluster
Tenant cluster deployment
Cluster
GPU Operator
NVIDIA device plugin
Drivers
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