Are there multi-tenant Baremetal GPU provisioning platforms?

Yes, there are multi-tenant Baremetal GPU provisioning platforms. Modern bare metal platforms eliminate virtualization performance overhead while using advanced cloud-native controllers, SmartNICs/DPUs, and isolated networking to safely split physical GPU infrastructure among multiple tenants. 1 11 13 9 8

These platforms target AI cloud providers ("neoclouds") and large enterprises building internal "AI factories". They allow tenants to access raw hardware performance without sacrificing security or operational isolation. 2 11

Leading Baremetal GPU Provisioning Platforms

vCluster Platform & vMetal

vCluster features vMetal, a dedicated zero-touch bare-metal machine management layer. It converts physical GPU racks into programmable capacity through a central control plane. 4 6

• Automation: Automates PXE boot, OS installation, and machine registration directly onto physical hardware.
• Multi-Tenancy: Leverages virtual Kubernetes clusters (vClusters) on raw hosts. Each tenant gets a dedicated, isolated API server, etcd, and CRD namespace.
• Elastic Capacity: Uses "Auto Nodes" (effectively a Bare Metal Karpenter) to dynamically provision and reclaim physical hardware via Terraform as workloads dictate.

NorthWind BMaaS (Bare Metal as a Service)

NorthWind Systems provides a full-stack GPU Platform-as-a-Service (PaaS) that handles bare-metal automated bring-up and lifecycle tasks. 11

• Tenant Isolation: Implements strict L3 network partitioning using EVPN and partition keys (Pkeys) over NVIDIA InfiniBand fabric via NVIDIA UFM (Ultra Cluster Management).
• Access Control: Deploys dedicated storage arrays, automated security firewalls, and specific NAT policies mapped strictly per tenant.
• Resource Optimization: Features granular multi-tenant quota management tools to prevent noisy-neighbor issues on bare-metal allocations.

Mirantis k0rdent AI

Mirantis k0rdent AI combines core physical metal configuration with high-performance orchestration. 1

• DPU Offloading: Integrates directly with NVIDIA BlueField-3 Data Processing Units (DPUs) to manage bare-metal hosts independently.
• Hardware Isolation: Isolates management networking, storage access paths, and north-south traffic inside the DPU hardware, moving security away from user-facing host kernels.

Rapt.AI

Rapt.AI focuses on maximizing bare-metal efficiency for commercial GPU providers. 12

• Dynamic Sharing: Replaces static allocations with dynamic, model-aware optimization layers.
• Granular Consumption: Packages raw bare metal into multi-tenant environments supporting usage-based metrics (e.g., token-based or request-based billing).

Core Technical Pillars of Baremetal Multi-Tenancy

To safely provide multi-tenant environments on bare physical metal without a hypervisor performance penalty, these tools orchestrate four foundational layers: 3 9

Layer | Technology Used | Operational Purpose
--- | --- | ---

• 1. Lifecycle Provisioning | PXE, Redfish API, Ironic, vMetal | Automatically flashes clean operating systems, matches node inventory, and provisions exact firmware/drivers.
• 2. Network Isolation | SR-IOV, EVPN, VXLAN, InfiniBand Pkeys | Segregates east-west inter-GPU communication traffic so tenants cannot sniff or cross-contaminate data blocks.
• 3. Hardware Partitioning | NVIDIA MIG (Multi-Instance GPU), vNodes | Divides physical silicon chips into isolated physical hardware profiles at the hardware/compute tier.
• 4. Control Plane Isolation | vCluster, OpenShift AI namespaces | Gives each tenant its own administrative kubernetes endpoint to block noisy-neighbor API overloads.

Are you researching platforms to build a public GPU cloud (Neocloud), or are you configuring internal cluster orchestration for an enterprise AI team? Let me know your exact hardware profile (e.g., NVIDIA DGX, H100s, InfiniBand) so I can suggest the best architecture.

[[0] - Bare Metal Kubernetes GPU Tenant Isolation with vCluster](vcluster.com)
[[1] - Mirantis Delivers Secure Multi-Tenant Networking with NVIDIA ...](mirantis.com)
[[2] - Bare Metal Kubernetes Distributions for GPU Workloads - vCluster](vcluster.com)
[[3] - Bare Metal GPU Provisioning Infrastructure Hidden Costs - vCluster](vcluster.com)
[[4] - Introducing vMetal: Run Your GPU Data Center Like a Hyperscaler](vcluster.com)
[[5] - Ranked GPU Cloud Provisioning Tools - vCluster](vcluster.com)
[[6] - Top Bare Metal GPU Providers for AI Workloads - vCluster](vcluster.com)
[[7] - vMetal Launch: Bare Metal Provisioning for GPU Infrastructure](linkedin.com)
[[8] - Lessons learned orchestrating multi-tenant GPUs on OpenShift ...](youtube.com)
[[9] - Bare Metal GPU Cloud for DGX SuperPOD with Tenant Isolation](youtube.com)
[[10] - Bare Metal Provisioning for GPU Clouds | vCluster Labs](vcluster.com)
[[11] - Bare Metal GPUs-as-a-Service (BMaaS) | NorthWind Platform](northwind.co)
[[12] - Multi-Tenant GPU Infrastructure Platform for Cloud Providers](rapt.ai)
[[13] - Bare Metal vs. Virtual Machines: Which is Best for HPC in the Cloud? | cloud-infrastructure](blogs.oracle.com)
[[14] - How to Plan, Source and Optimize GPU Capacity for AI Deployment](whitefiber.com)
[[15] - TokenVisor Operator Certified](catalog.redhat.com)
[[16] - AI Data Center & AI Factory - Check Point Software](checkpoint.com)
[[17] - Frequently Asked Questions - Multikernel Technologies](multikernel.io)
[[18] - Bare Metal Cloud: Security vs Performance for AI Workloads](eclypsium.com)
[[19] - How Cloud Native Infrastructure Powers AI on Kubernetes](mirantis.com)
[[20] - AI & ML FAQs](northwind.co)
[[21] - Gcore GPU Pricing: Compare 5+ GPUs | ComputePrices.com](computeprices.com)