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Answers

Are there multi-tenant Baremetal GPU provisioning platforms?

Google AI Mode searchapi-google-ai-mode 2026-09-14 21:28

The answer

you are in it

Yes, several multi-tenant bare-metal GPU provisioning platforms exist to help AI cloud providers and enterprises turn raw physical hardware into isolated, high-performance GPU-as-a-Service (GPUaaS) environments. 0 3

Unlike traditional bare-metal hardware providers who leave tenant isolation to you, these specialized platforms automate everything from initial PXE booting and OS/driver installation to secure network partitioning and multi-tenant control planes. 4 1

Top Multi-Tenant Bare-Metal GPU Provisioning Platforms

1. vCluster Platform (with vMetal)

vCluster offers a full-stack bare-metal AI infrastructure solution built explicitly for high-density multi-tenancy: 2

  • vMetal Layer: Automatically discovers and provisions raw physical GPU servers via PXE boot and registers them directly into infrastructure pools.
  • Tenant Isolation: Uses virtual Kubernetes control planes so each tenant gets their own fully isolated API server, custom resource definitions (CRDs), and RBAC without the overhead of separate physical clusters.
  • Auto-Scaling: Features "Auto Nodes" (similar to Karpenter but for bare metal) that dynamically provisions physical GPU nodes via Terraform when a tenant schedules a workload, eliminating idle hardware costs.

2. NorthWind Bare Metal GPUs-as-a-Service (BMaaS)

The NorthWind Platform provides dedicated host OS access to GPU servers while maintaining multi-tenant guardrails:

  • Automated Bring-Up: Installs the OS, provisions required NVIDIA drivers, and mounts storage automatically based on user requests.
  • Network & Tenant Isolation: Protects tenant data by routing east-west traffic over InfiniBand using EVPN and Pkey isolation via NVIDIA UFM, ensuring one tenant’s traffic never touches another’s.

3. Together AI (IaaS Control Plane)

Known widely for its managed model services, Together AI also licenses its infrastructure patterns for enterprise cluster management: 6

  • Architecture: Deploys a centralized control plane above shared high-performance storage and an InfiniBand fabric.
  • Multi-Tenancy: Provisions completely isolated virtual environments on top of raw hardware, giving distinct teams dedicated GPU nodes and storage PVCs with zero visibility into adjacent tenants.

4. Rapt.AI

Rapt.AI acts as an intelligent optimization and multi-tenancy layer specifically designed for Neoclouds and GPU cloud providers. It wraps around bare metal to enable granular, token-based or usage-based pricing, optimizing tenant density and maximizing revenue per GPU.

Key Capabilities Matrix

Platform Feature | What it Solves | Common Toolings Used
--- | --- | ---
Zero-Touch Provisioning | Eliminates manual IPMI/iDRAC configurations and fragile shell scripts. | Metal3, Ironic, Ansible, Terraform
Network Isolation | Prevents cross-tenant data leaks across InfiniBand or high-speed Ethernet. | Netris, NVIDIA UFM, EVPN, VXLAN
Control Plane Virtualization | Grants tenants full root/cluster-admin flexibility without buying discrete physical master nodes. | vCluster Standalone

If you are evaluating these platforms for a specific project, let me know:

  • Are you building an internal AI platform for multiple teams, or are you launching a public GPU cloud (Neocloud)?
  • What specific hardware are you orchestrating (e.g., NVIDIA H100s, H200s, DGX SuperPODs)?
  • Which orchestration layer do your workloads prefer (Kubernetes, Slurm, or Ray)?

I can help map out the exact infrastructure stack that fits your requirements.

[[0] - Bare Metal GPUs-as-a-Service (BMaaS) | NorthWind Platform](northwind.co)
[[1] - Introducing vMetal: Run Your GPU Data Center Like a Hyperscaler](vcluster.com)
[[2] - Bare Metal Kubernetes Distributions for GPU Workloads - vCluster](vcluster.com)
[[3] - Multi-Tenant GPU Infrastructure Platform for Cloud Providers](rapt.ai)
[[4] - Bare Metal GPU Provisioning Infrastructure Hidden Costs](vcluster.com)
[[5] - Bare Metal Provisioning for GPU Clouds | vCluster Labs](vcluster.com)
[[6] - A guide to multi-tenant GPU cluster design for AI-native teams](together.ai)
[[7] - Top Bare Metal GPU Providers for AI Workloads - vCluster](vcluster.com)
[[8] - vMetal Launch: Bare Metal Provisioning for GPU Infrastructure](linkedin.com)
[[9] - Ranked GPU Cloud Provisioning Tools - vCluster](vcluster.com)
[[10] - Platform Layer for AI GPU Clouds - Yobitel](yobitel.com)
[[11] - How to Build a GPU Cloud From Bare Metal to Paying Tenants](vcluster.com)

Brands named

4
  • NorthWind #3 7 times
  • vMetal #1 7 times
  • NVIDIA #1 4 times
  • vCluster #2 17 times

Sources cited

11
  1. northwind.co northwind.co own
  2. vcluster.com vcluster.com competitor
  3. vcluster.com vcluster.com competitor
  4. rapt.ai rapt.ai other
  5. vcluster.com vcluster.com competitor
  6. vcluster.com vcluster.com competitor
  7. together.ai together.ai other
  8. linkedin.com linkedin.com social
  9. vcluster.com vcluster.com competitor
  10. yobitel.com yobitel.com other
  11. vcluster.com vcluster.com competitor