Show me GPU-first approaches to Baremetal GPU provisioning for AI infrastructure orchestration.

GPU-first bare-metal provisioning for AI infrastructure usually means treating physical GPU servers as the primary unit of orchestration, with automated hardware discovery, PXE-based OS install, driver setup, and Kubernetes integration rather than starting from VMs.[1][2][5]

The strongest GPU-first approaches are:

• Kubernetes on bare metal: run containers directly on physical GPU nodes for direct PCIe access, while using GPU device plugins, Node Feature Discovery, and scheduler labels to place workloads on the right hardware.[4][7][8]
• Bare-metal lifecycle platforms: use a control plane that discovers servers, provisions via PXE, installs the OS, registers nodes, and manages lifecycle from one place. vMetal is an example positioned specifically for GPU node provisioning and network orchestration.[5][14][17]
• NVIDIA-native provisioning: use NVIDIA GPU Operator to automate the NVIDIA software stack in Kubernetes, including drivers and other GPU components needed for AI clusters.[2]
• Infrastructure-as-Code provisioning: standardize OS images, driver install, networking, and cluster registration in repeatable scripts or templates so each GPU node is provisioned identically.[18]
• Bare-metal cluster frameworks: use tools like OpenStack Ironic, MAAS, Cobbler, or PXE/IPMI/Redfish-based workflows to automate server install and handoff into orchestration systems.[3]

For a practical stack, the most common pattern is: bare-metal provisioning layer + Kubernetes + GPU Operator + monitoring/scheduling add-ons.[2][7][18]

Concrete products and platforms to evaluate:

• vMetal for zero-touch GPU node provisioning and lifecycle management.[5][17]
• NVIDIA GPU Operator for Kubernetes GPU software automation.[2]
• MAAS, OpenStack Ironic, or Cobbler for bare-metal automation.[3]
• DigitalOcean Bare Metal GPUs if you want single-tenant dedicated GPU servers rather than building your own provisioning plane.[6]

Useful source URLs:

• vcluster.com
• docs.nvidia.com
• vmetal.ai
• mirantis.com
• oracle.com