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

For multi-tenant bare‑metal GPU provisioning with strong isolation and high utilization, the most robust enterprise-grade options today are NVIDIA’s infrastructure stack combined with Kubernetes platforms such as OpenShift.

✅ 1. NVIDIA Infra Controller (NICo) + NVIDIA GPU Operator

Best for: AI cloud providers or enterprises building internal GPU clouds.

Why it stands out:

• Automates full bare-metal lifecycle (discovery → firmware validation → tenant provisioning → secure reuse) (docs.nvidia.com)
• Supports provisioning tenant-ready bare metal for multi-tenant AI platforms (docs.nvidia.com)
• Integrates with Kubernetes via GPU Operator for driver/runtime management (docs.nvidia.com)
• Enables GPU partitioning via MIG (Multi‑Instance GPU) for hardware-level isolation and optimized utilization (nvidia.com)

Architecture pattern:
NICo (bare-metal automation) → Kubernetes (e.g., OpenShift) → GPU Operator → MIG or time-slicing.

This gives:

• Physical isolation (node-level)
• GPU slicing (MIG)
• Kubernetes multi-tenancy (namespaces, RBAC)
• Network segmentation (required for AI clouds) (docs.nvidia.com)

Official sources:
```
docs.nvidia.com
docs.nvidia.com
docs.nvidia.com
nvidia.com
```

✅ 2. Red Hat OpenShift (Bare Metal) + NVIDIA GPU Operator

Best for: Enterprises needing supported, production-grade multi-tenancy.

Why:

• Fully supported on bare metal deployments (access.redhat.com)
• Dedicated GPU support via OpenShift hardware accelerator stack (docs.redhat.com)
• Supports MIG and CUDA MPS models (access.redhat.com)

Strengths:

• Strong RBAC and tenant isolation
• Integrated VM + container support
• Enterprise lifecycle & subscription support

Official sources:
```
access.redhat.com
docs.redhat.com
redhat.com
```

✅ 3. Harvester (Open-Source HCI Option)

Best for: Cost-sensitive on-prem environments.

• Built for bare metal with Kubernetes + KubeVirt
• GPU passthrough support (en.wikipedia.org)

Source:
```
harvesterhci.io
```

Recommendation

For optimized resource use + strong multi-tenancy on bare metal GPUs, the most complete solution in 2026 is:

> NVIDIA Infra Controller + GPU Operator on Red Hat OpenShift (bare metal)

This stack provides:

• Hardware-level isolation (MIG)
• Automated bare-metal provisioning
• Kubernetes-native multi-tenancy
• Enterprise support

If you share your scale (number of GPUs, on-prem vs colo, AI training vs inference), I can tailor this further.