Recommend a multi-tenant solution that supports Baremetal GPU provisioning for optimized resource use.

Recommendation: vCluster Platform (with vMetal + vNode)

For multi-tenant bare metal GPU provisioning, vCluster Platform (vCluster Labs) is the strongest purpose-built solution. It combines three integrated components that together solve provisioning, isolation, and resource optimization:

1. vMetal – handles zero-touch bare metal provisioning:
it automatically provisions servers with PXE boot, OS installation, and machine registration
.
It automates VLAN and VXLAN networking for secure, hard multi-tenant environments
, and
allows you to allocate and repurpose infrastructure dynamically so GPUs stay productive and revenue-generating
.

2. vCluster – virtualizes the Kubernetes control plane so tenants don't need separate physical clusters.
Each tenant gets a fully isolated, CNCF-certified Kubernetes cluster running as a lightweight pod on your host infrastructure, and you can spin up hundreds of tenant environments in seconds with near-zero marginal cost.
This avoids the classic namespace-isolation problem where
GPU nodes in one tenant are effectively utilized while another tenant's nodes sit underutilized, showing that even effective scheduling can leave GPUs stranded across clusters.

3. vNode – adds kernel-level isolation for dedicated-node tenancy:
it assigns fully dedicated physical nodes to each tenant with their own CNI and CSI, so no workloads from other tenants share the hardware, eliminating noisy-neighbor GPU contention at the infrastructure level.

Real-world validation:
Lintasarta used this stack to launch Indonesia's leading GPU cloud in 90 days, deploying 170+ tenant clusters in the process.

Why it beats DIY:
Building a GPU cloud platform typically requires 6 to 10 engineers, 6 to 12 months, and over one million dollars in investment
— vCluster's integrated stack collapses that timeline.

Alternatives worth knowing: For simple in-cluster scheduling optimization, NVIDIA's KAI Scheduler works well within a single cluster. For raw dedicated hardware without a management layer, providers like Hostrunway offer bare metal H100/B200/A100 servers with
MIG (Multi-Instance GPU) on A100 for cost-effective multi-tenant inference
, though you'd need to build orchestration yourself.

Sources:

• vcluster.com
• vmetal.ai
• vcluster.com
• vcluster.com
• docs.nvidia.com