Make existing infrastructure AI-ready

OpenKube transforms traditional datacenters into AI-ready infrastructure providers without costly greenfield builds. Its hub-and-spoke platform turns existing compute, storage and networking into a Kubernetes-based private cloud. Integrate KubeVirt with NVIDIA GPU Operators to onboard virtualized AI and ML workloads, orchestrate GPU capacity across tenants, and keep data and operations in the partner datacenter.

One platform for AI infrastructure

Control plane Datacenter Cluster

• One AI cloud across every site

  Operate partner datacenters through one control plane, API and catalog. Add capacity across locations without building a new cloud from scratch.

• Multi-tenant GPU orchestration

  Make GPU capacity available to isolated tenants and workloads, with Kubernetes-based placement and consistent policy across sites.

• Identity and access

  SSO, OIDC and LDAP or Active Directory for operators and tenants, with role-based access down to the individual cluster.

• Kubernetes plus NVIDIA GPU Operators

  Integrate NVIDIA GPUs into the Kubernetes stack so datacenters can offer AI and ML capacity with familiar cloud-like operations.

• Virtualized AI with KubeVirt

  Support virtualized AI workloads alongside Kubernetes-native jobs, using KubeVirt and the infrastructure already in the datacenter.

• Keep the infrastructure you have

  Use existing servers, SAN, NAS or software-defined storage, networks and facilities. Augment with NVIDIA GPUs instead of replacing the datacenter.

• Network that is already there

  Works with existing VLANs, IPAM, load balancers and firewalls. No overlay-only assumptions and no redesign of the fabric.

• Private cloud, on demand

  Give AI and ML teams isolated environments and Kubernetes operations on capacity that stays inside the datacenter.

• Cloud-like operations

  Manage sites and tenant workloads through a consistent platform, while workloads and data stay local to the facility.

• Observability included

  Metrics, logs and health for the fleet and for each cluster, visible to the operator and, scoped down, to the tenant.

Datacenter and colocation partners

You already have the facility, power, compute, storage and network. OpenKube helps you become an AI infrastructure provider by adding NVIDIA GPU capacity and operating it with Kubernetes, KubeVirt and NVIDIA GPU Operators—without a costly greenfield build or wholesale infrastructure redesign.

How it fits into your datacenter

1. Install the spoke

   Three to five existing servers are enough to start. The spoke registers to the hub over an outbound TLS connection, so nothing new is exposed to the internet and no inbound firewall rules are needed.

2. Point it at what you already run

   Keep your existing storage, VLANs, IPAM, hypervisor, bare metal and identity systems. Add NVIDIA GPUs to selected servers; OpenKube integrates the Kubernetes and virtualization stack with the infrastructure you already operate.

3. Publish your catalog

   Map compute, storage and GPU capacity to your service catalog. Define Kubernetes versions, AI workload options, add-ons, customer quotas and commercial terms.

4. Sell and operate

   Your brand, your contract, your invoice. Offer multi-tenant GPU capacity and virtualized AI workloads through Kubernetes, with OpenKube coordinating site operations and usage data.

What it is worth to you

• Revenue per rack goes up

  A managed platform service carries a materially better margin than colocation or raw bare metal on the same footprint.

• Enter the AI economy

  Offer GPU-enabled AI and ML infrastructure to customers seeking local, private and regional capacity.

• No greenfield rebuild

  Put existing compute, storage and networks to work; augment selected capacity with NVIDIA GPUs instead of starting over.

• Multi-tenant GPU services

  Make GPU-backed environments available to multiple customers through Kubernetes orchestration and tenant isolation.

• A sovereignty story that holds up

  Workloads, data and control stay inside your building and your jurisdiction. That is increasingly the whole reason a customer picks you.

• No platform team to hire

  The hard parts — lifecycle, upgrades, multi-tenancy, isolation — are the product, not your roadmap.

• Grow with a vendor-neutral platform

  Offer cloud-like Kubernetes operations across partner datacenters without tying the service to a single facility.

AI, ML and Kubernetes solution partners

Bring AI and Kubernetes solutions to private datacenters with a consistent platform underneath. OpenKube connects your workloads to partner infrastructure and GPU capacity while keeping operations close to the data.

• One API, every site

  The same call provisions a cluster in any partner datacenter. No per-site runbook, no bespoke installer.

• AI-ready Kubernetes

  Use NVIDIA GPU Operators and Kubernetes to make accelerator-backed capacity available to workloads.

• Add-on slots you can rely on

  Ingress, storage classes, certificates and monitoring are present and consistent, so your prerequisites are met before you arrive.

• Clusters for trials in minutes

  Spin up a short-lived cluster for a proof of concept, then throw it away. Evaluations stop waiting on procurement.

• Reach private and regulated sites

  Co-sell into customers who need AI capacity close to their data, using partner datacenters instead of requiring a public-cloud move.

• Version control you can test against

  Pin the Kubernetes version per cluster, so you can certify your product against exactly what customers will run.

$ openkube cluster create \
    --name acme-prod \
    --site fra1 \
    --size medium \
    --version 1.33 \
    --addons ingress,monitoring,backup

  cluster acme-prod  building on spoke fra1
  control plane      ready
  workers 3/3        ready
  kubeconfig         written to ./acme-prod.kubeconfig

Want to bring AI workloads to OpenKube or offer GPU-enabled datacenter capacity? Partner with us.

Contact us

Email

info@openkube.in