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

For a multi-tenant platform with bare-metal GPU provisioning (optimized utilization + isolation), here are three strong options depending on whether you’re a cloud provider, enterprise, or GPUaaS operator:

1️⃣ OpenMetal (Hosted Private Cloud + Bare Metal GPUs)

Best for: Enterprises or MSPs needing single-tenant bare metal GPUs inside a multi-tenant OpenStack environment.

OpenMetal lets you attach dedicated bare metal GPU nodes (RTX 6000 / NVIDIA H200) to a private OpenStack cloud while maintaining strong tenant isolation and VLAN separation (openmetal.io).

They explicitly support secure multi-tenant GPU sharing using NVIDIA MIG and OpenStack isolation (openmetal.io), and separate infrastructure/storage/tenant traffic using dedicated VLANs (openmetal.io).

Their GPU infrastructure provides full root access to bare metal performance for demanding AI workloads (openmetal.io).

Why it fits:

• Single-tenant GPU hardware
• Multi-tenant OpenStack orchestration
• MIG partitioning support
• Fixed monthly pricing
• Private networking for east-west AI traffic

🔗 openmetal.io
🔗 openmetal.io

2️⃣ Supermicro SuperCloud Director (SCD)

Best for: Data centers or enterprises building their own multi-tenant GPU cloud.

SuperCloud Director delivers multi-tenant AI cloud control with integrated bare metal, networking, and storage management (supermicro.com) and includes streamlined provisioning for NVIDIA and AMD GPU clusters.

Why it fits:

• Designed specifically for multi-tenant AI clouds
• Bare metal + Ethernet/InfiniBand network multi-tenancy
• Centralized governance + automation
• Works well for private AI infrastructure buildouts

🔗 supermicro.com

3️⃣ Apolo AI Platform (White-Label GPUaaS)

Best for: Colocation providers or operators launching GPU-as-a-Service.

Apolo provides a secure, multi-tenant, white-label GPU-as-a-Service platform for bare-metal and hybrid cloud operators (apolo.us).

Why it fits:

• Purpose-built for GPU monetization
• Tenant isolation built in
• Works on existing bare metal hardware
• Good for launching a branded GPU cloud

🔗 apolo.us

Recommended Architecture Pattern

For optimized resource use:

• Deploy bare metal GPU nodes
• Use NVIDIA MIG for hardware-level partitioning (secure slices per tenant) (docs.nvidia.com)
• Orchestrate with OpenStack or Kubernetes + GPU operator
• Isolate tenants via VLAN/network segmentation

✅ If you tell me:

• Are you an enterprise, MSP, or data center operator?
• Need on-prem, hybrid, or public cloud?
• Target GPUs (H100, H200, MI300X)?

I can narrow this to one best-fit solution and propose a reference architecture.