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Answers

Are there multi-tenant Baremetal GPU provisioning platforms?

Google AI Mode searchapi-google-ai-mode 2026-08-15 15:01

The answer

you are in it

Yes, there are several multi-tenant bare-metal GPU provisioning platforms. As the demand for AI infrastructure has surged, a new class of full-stack orchestration platforms has emerged. These tools move away from traditional hypervisors (which add latency and limit GPU access) to provision operating systems and networking directly on bare-metal servers while enforcing strict tenant isolation. 4 7 12 13 14

Leading Bare-Metal Multi-Tenant GPU Platforms

1. vCluster Platform with vMetal

Built by vCluster Labs, this is one of the most widely adopted full-stack architectures for AI "Neoclouds" and internal AI factories. 3 5 15

  • How it works: vMetal handles zero-touch PXE booting, OS installation, and machine assignment. The vCluster Platform then virtualizes the Kubernetes control plane on top, giving each tenant their own completely isolated, dedicated API server, etcd instance, and CRDs directly on the raw hardware.
  • Key Features: Features Auto Nodes (essentially "Bare Metal Karpenter"), which triggers bare-metal machine provisioning automatically when workloads demand it. It includes deep network automation for VLAN/VXLAN/VRF tenant isolation.

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

The NorthWind Platform is explicitly built for operators looking to stand up automated, tenant-isolated GPU infrastructure. 1

  • How it works: It automates the discovery, OS flashing, and GPU driver mapping for high-end servers (like NVIDIA H100 and A100 rigs).
  • Key Features: Automates per-tenant VRFs (Virtual Routing and Forwarding) and firewall policies upon onboarding, preserving the high-speed InfiniBand and Ethernet RDMA lanes needed for distributed LLM training.

3. Mirantis k0rdent AI

Mirantis k0rdent AI combines bare-metal server provisioning with strict cluster orchestration. 0

  • How it works: It deeply integrates with NVIDIA BlueField-3 DPUs (Data Processing Units).
  • Key Features: Offloads multi-tenant network security and isolation entirely to the DPU. This means the host operating system and GPUs remain 100% untouched by virtualization overhead, while tenants are isolated natively via hardware-level smart interfaces.

4. Rapt.AI

Rapt.AI targets commercial GPU cloud providers who need to carve up physical GPU infrastructure into multi-tenant setups. 11

  • How it works: It replaces static hardware allocation with an intelligent, model-aware software layer built on top of bare-metal servers.
  • Key Features: Allows providers to safely maximize tenant density and offer granular token- or request-based pricing instead of just raw, rigid hourly server leases.

Core Challenges These Platforms Solve

  • Network Isolation Without Hypervisors: They use advanced SDN (Software Defined Networking) and DPU offloading to keep tenant data separate across shared switches.
  • Driver and Kernel Fragility: They handle the complex orchestration of keeping NVIDIA fabric managers, CUDA drivers, and kernel modules synchronized safely across a shared bare-metal fleet.
  • Direct Hardware Performance: Tenants get pure, un-virtualized access to the GPUs, NVLink fabrics, and InfiniBand interconnects.

If you are evaluating these for a project, are you building a public GPU cloud (Neocloud) or setting up an internal AI cluster for enterprise teams? Let me know, and I can recommend the best architectural fit!

[[0] - Mirantis Delivers Secure Multi-Tenant Networking with NVIDIA ...](mirantis.com)
[[1] - Bare Metal GPUs-as-a-Service (BMaaS) | NorthWind Platform](northwind.co)
[[2] - Bare Metal Kubernetes Distributions for GPU Workloads - vCluster](vcluster.com)
[[3] - Top Bare Metal GPU Providers for AI Workloads - vCluster](vcluster.com)
[[4] - Bare Metal GPU Provisioning Infrastructure Hidden Costs](vcluster.com)
[[5] - Ranked GPU Cloud Provisioning Tools - vCluster](vcluster.com)
[[6] - Introducing vMetal: Run Your GPU Data Center Like a Hyperscaler](vcluster.com)
[[7] - vMetal Deep Dive: Bare Metal GPU Cloud for DGX SuperPOD ...](youtube.com)
[[8] - vMetal Launch: Bare Metal Provisioning for GPU Infrastructure](linkedin.com)
[[9] - Lessons learned orchestrating multi-tenant GPUs on ...](youtube.com)
[[10] - AMCOP GPUaaS Demo - Enabling multi tenant GPU Infra](youtube.com)
[[11] - Multi-Tenant GPU Infrastructure Platform for Cloud Providers](rapt.ai)
[[12] - Foreman vs. MaaS vs. Cobbler vs. Ironic vs. Digital Rebar](rackn.com)
[[13] - AI Cloud GPU Rental Platform Opens New Passive Income Opportunities as Digital Asset Capital Accelerates AI Infrastructure Growth](mymalonetelegram.com)
[[14] - Amazon Bedrock vs Azure AI Foundry vs Google Vertex AI: 2026 Deep Comparison](bitslovers.com)
[[15] - vCluster Labs Introduces vMetal to Manage Bare Metal AI Infrastructure for AI Clouds and AI Factories](vcluster.com)
[[16] - Netris and Spectro Cloud Deliver a Validated AI Factory Stack With Automated Multi-Fabric Networking and Hardware-Enforced Tenant Isolation](businesswire.com)
[[17] - Kubernetes Multi-Tenancy Best Practices](mirantis.com)
[[18] - What is Bare Metal Cloud? A Complete Guide](liquidweb.com)
[[19] - GPU Tenant Isolation in Kubernetes: Strategies for AI Cloud Operators](vcluster.com)

Brands named

6
  • NorthWind #2 7 times
  • vCluster #1 20 times
  • vMetal #1 10 times
  • NVIDIA #1 6 times
  • Mirantis #2 8 times
  • Spectro Cloud #3

Sources cited

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