Bare metal machines and VMs for every cluster you run, through one stable API. Powered by the provisioning stacks you need today, and any you’ll need tomorrow.

Bare metal machines and VMs for every cluster you run, through one stable API. Powered by the provisioning stacks you need today, and any you’ll need tomorrow.

vMetal provisions the bare metal and VMs. vCluster turns them into products you ship.
Ship any cluster as a product
Kubernetes Clusters
Nested Clusters
Slurm Clusters
Run:AI Clusters
Ray Clusters
Inference Clusters
Dynamo · llm-d · + more
Agent Sandbox Clusters
+ more clusters
Operate every tenant at scale
Cluster Templates
Capacity Management
Observability
Node Autohealing
Billing
Provision hardware like a cloud
Bare Metal Machines
Virtual Machines
Future-proof your node provisioning
Bare Metal Provisioning Drivers
Network Automation
VM Provisioning Drivers
Run several systems at once or swap one out. Whatever the future brings, nothing above has to change.
A stable interface upward, no matter what you change underneath.
Bring your compute, networking, and storage layers together with ease.
We stand behind every open-source technology in the stack, in production.
Deep, battle-tested experience across every possible integration.
Metal3, KubeVirt, NVIDIA NICo, VMware, OpenStack, and more, under one layer.
Each capability below is months of specialized engineering, and every one has to be rebuilt whenever your hardware or provisioning stack changes.
Machine-layer capability
Typical engineering effort
Time to Build
Business impact if you DIY
Bare metal provisioning & PXE automation
2–3 infrastructure engineers
3–4 months
GPUs wait on a provisioning layer you are still building
Multi-driver abstraction (Metal3, NICo, KubeVirt)
2–3 platform engineers
4–6 months
Vendor lock-in and a re-architecture when hardware changes
VM provisioning alongside bare metal
1–2 engineers
2–3 months
Half your estate left unsupported
Network automation & tenant isolation
1–2 networking engineers
2–3 months
Complex networking increases operational risk
Machine lifecycle & autohealing
1–2 platform engineers
2–3 months
Manual ops and longer time to recover failed nodes
Turn racked GPUs into an on-demand machine API in weeks.
Open drivers, standard API, your hardware. Never re-architect to escape a vendor.
Kubernetes, Slurm, Ray, and inference all run on the same machine layer.
An EC2-class experience at your margins, with data residency at the infra layer.
Every stack and GPU supplier from one control plane. Scale without scaling headcount.
Commercial support behind every driver, from a team that runs the biggest AI clouds.
Everything you need to stand up the machine layer for a GPU cloud on your own infrastructure.

A blueprint for bringing cloud-grade elasticity and automation to NVIDIA DGX systems.

vMetal and Netris integrate machine provisioning with network automation for clean per-tenant isolation.

Deliver enterprise-grade infrastructure for AI workloads and improve your ClusterMAX™ rating.
One stable API for bare metal and VMs. Any provisioning stack. Fully supported in production.