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Answers

Are there multi-tenant Baremetal GPU provisioning platforms?

Claude claude-sonnet-5 2026-08-15 15:01

The answer

you are in it

Yes — several platforms specifically target multi-tenant bare-metal GPU provisioning, addressing the gap between raw hardware and a secure, isolated cloud experience.

vCluster Platform (vCluster Labs) is one of the most complete stacks. It combines three layers:
automatically provisioning servers with PXE boot, OS installation, and machine registration, allocating and managing the lifecycle of machines through a single control plane, and automating VLAN/VXLAN networking for secure, hard multi-tenant environments
(vMetal), plus tenant Kubernetes control planes where
each tenant gets their own CNCF-certified Kubernetes API server, etcd, and RBAC running as lightweight pods, delivering an EKS-like experience on your own bare metal GPU fleet
(vCluster), and kernel-level isolation where
vNode uses seccomp, cgroups, namespaces, and AppArmor to isolate workloads at the kernel level for container breakout protection without a hypervisor
(vNode). Notably,
CoreWeave — one of the world's largest GPU clouds — runs vCluster Platform for tenant cluster orchestration at scale
. (vmetal.ai, vcluster.com)

NorthWind's Bare Metal GPUs-as-a-Service (BMaaS) is another option, functioning as
a unified orchestration and governance layer specifically designed for AI workloads, abstracting the underlying complexity of hybrid cloud, on-premises, and bare-metal environments
. It supports
secure, multi-tenant sharing of GPU resources to maximize utilization and enable FinOps chargeback, including management of fractional GPUs
. (northwind.co)

NVIDIA Mission Control (announced GTC 2026) is emerging as a broader control plane:
a unified control plane across BCM, Run:ai, NeMo, DCGM, and DSX — the full NVIDIA AI factory software stack under one lifecycle manager
, deployable on bare-metal GPU clouds.

For enterprises building on OpenShift, a KubeCon 2026 talk outlines a DIY reference architecture using
SR-IOV with the NVIDIA Network Operator, the KAI Scheduler for GPU-aware scheduling, and per-tenant monitoring, chargeback, and self-service dashboards
.

Sources:

Brands named

6
  • NorthWind #3 4 times
  • vMetal #1 3 times
  • vCluster #2 6 times
  • NVIDIA #4 4 times
  • Spheron #4
  • CoreWeave

Sources cited

6
  1. vmetal.ai vmetal.ai competitor
  2. vcluster.com vcluster.com competitor
  3. vcluster.com vcluster.com competitor
  4. wwt.com wwt.com competitor
  5. spheron.network spheron.network competitor
  6. lucaberton.com lucaberton.com other

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