vMetal delivers zero-touch bare metal provisioning for GPU fleets, eliminating virtualization overhead so AI cloud providers can scale from rack to production without delays. For production workloads, Private Nodes join dedicated worker nodes directly into each tenant cluster for hardware-level isolation.
Manual provisioning slows revenue, wastes capacity, and exposes tenants to unnecessary risk.
Based on publicly reported GPU cloud pricing, provisioning delays of several weeks can represent substantial lost revenue: the actual impact varies by fleet size and utilization.
Hand-configured PXE boots, OS installs, and network configs create inconsistencies that are difficult to debug across large GPU fleets.
Most provisioning tools stop at the OS layer, leaving platform teams to stitch together k3s, kubeadm, and cluster orchestration themselves.
vMetal handles PXE boot, OS install, machine registration, network automation, and full server lifecycle in one integrated stack. vCluster Standalone runs directly on bare metal as a single binary, eliminating intermediate dependencies like k3s or kubeadm and delivering a complete path from GPU racks to isolated tenant clusters.
A complete, production-proven stack that takes GPU servers from rack to managed Kubernetes without stitching together third-party tools.
vMetal handles PXE boot, OS installation, machine registration, and network configuration automatically. Every bare metal GPU server is provisioned consistently, from rack mount to production-ready, without manual intervention.
vCluster Standalone runs as a single binary on bare metal Linux with no external Kubernetes dependency. Ships with vCluster Standalone, no k3s or kubeadm required as a base layer between your GPU hardware and your tenant clusters.
Auto Nodes acts as bare metal Karpenter, automatically provisioning GPU nodes via Terraform when tenants schedule workloads. GPU capacity scales to demand without manual intervention from your operations team.
For production workloads, Private Nodes are the default: dedicated worker nodes joined directly into each tenant cluster, delivering hardware-level isolation. For dev, test, and trusted-team environments, spin up hundreds of isolated tenant environments on shared GPU infrastructure, each with its own API server, etcd, and RBAC.
Network isolation is enforced at the hardware level using VLANs, VXLANs, VRFs, ACLs, and DPU policies via vMetal/Netris integration, significantly limiting tenant-to-tenant network reachability.
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.
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Zero-touch bare metal provisioning means a GPU server goes from rack mount to production-ready without manual steps. vMetal automates PXE boot, OS installation, machine registration, and network configuration, so every server in your fleet is provisioned consistently. Operations teams define the desired state once, and vMetal handles execution across all physical nodes, reducing setup errors and compressing time-to-production significantly.
No. vCluster Standalone runs as a single binary directly on bare metal Linux with no external Kubernetes dependency. You do not need k3s, kubeadm, or k0s as a base layer. This means you can go from raw GPU servers to a fully operational Kubernetes control plane binary in a single step, without managing the complexity of intermediate infrastructure components.
vMetal handles the hardware layer, including PXE boot, OS install, and network automation. vCluster Standalone then runs directly on those provisioned servers as a lightweight Kubernetes binary. From there, the vCluster Platform creates fully isolated tenant clusters on top. For production deployments, Private Nodes, dedicated worker nodes joined directly into each tenant cluster, deliver hardware-level isolation. The result is a single integrated path from bare metal GPU servers to managed, isolated Kubernetes environments for your end customers, without stitching together separate vendor tools.
The platform powers 100K+ GPU nodes in production across 50+ GPU clouds and Fortune 500 customers. vCluster is named in the NVIDIA DGX SuperPOD reference architecture. Lintasarta, a GPU cloud in Indonesia, launched in 90 days using this stack. vMetal and the vCluster Platform are designed for the scale and reliability requirements of AI cloud providers deploying large GPU fleets.
Auto Nodes works like Karpenter but for physical servers. When tenants schedule workloads that require additional GPU capacity, Auto Nodes automatically provisions new bare metal nodes via Terraform to meet that demand. This eliminates the need for operations teams to manually intervene every time a tenant needs more GPU resources, allowing GPU cloud providers to scale capacity dynamically without proportional headcount growth.
Yes. The vCluster Platform supports air-gapped and FIPS deployment for environments with strict compliance requirements. The full stack, including bare metal provisioning, Kubernetes control plane binary, and tenant cluster orchestration, can be deployed in disconnected environments without requiring outbound internet access. This makes it suitable for government, defense, and regulated enterprise deployments that require isolated infrastructure.
See how vMetal and vCluster Platform take GPU servers from rack to production-ready tenant clusters.
