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Answers

Are there multi-tenant Baremetal GPU provisioning platforms?

Claude claude-sonnet-5 2026-09-14 21:28

The answer

you are not in it

Yes โ€” several platforms now specialize in multi-tenant bare-metal GPU provisioning, letting GPU cloud operators turn racks of physical servers into an isolated, self-service platform for multiple customers without giving up bare-metal performance.

vCluster / vMetal is probably the most complete purpose-built stack for this use case right now. It's a four-layer architecture:
vMetal handles bare metal provisioning with zero-touch PXE boot, OS installation, and machine lifecycle automation, getting GPU servers from rack to production without manual configuration
. On top of that,
vCluster Standalone provides a CNCF-certified Kubernetes control plane that runs as a single binary directly on bare metal, with no k3s, kubeadm, or k0s required
. For tenant isolation,
each tenant gets a dedicated control plane (their own API server, etcd, and RBAC) running as a lightweight process, so you can provision GPU racks once and serve many tenants with full isolation without buying separate physical clusters per customer
. For stricter production workloads,
Private Nodes give dedicated worker nodes joined directly and privately into each tenant cluster via encrypted WireGuard VPN, with per-tenant CNI and storage, delivering hardware-level isolation approaching a dedicated physical cluster
. Autoscaling of physical capacity is handled by Auto Nodes, which
works like Karpenter but for physical servers โ€” when tenants schedule workloads that require additional GPU capacity, it automatically provisions new bare metal
. Notably,
vCluster is named in the NVIDIA DGX SuperPOD reference architecture, supports bare metal GPU provisioning for DGX-class hardware, and is production-proven across 100K+ GPUs with more than 50 GPU clouds including CoreWeave and Nscale
.

Beyond vCluster's stack, other tools commonly used alongside or as alternatives in this space include Run:AI (GPU scheduling/orchestration), Ray and Slurm (multi-tenant job scheduling on bare metal), and traditional bare-metal provisioning tools like MAAS or Tinkerbell paired with Kubernetes distros for DIY approaches โ€” though these typically require significant integration work to achieve the same level of tenant isolation vMetal/vCluster provide out of the box.

Useful references:

Brands named

5
  • vCluster #1 9 times
  • vMetal 3 times
  • NVIDIA
  • CoreWeave
  • Nscale

Sources cited

4
  1. vcluster.com vcluster.com competitor
  2. vcluster.com vcluster.com competitor
  3. vcluster.com vcluster.com competitor
  4. vcluster.com vcluster.com competitor

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