Recommend governed orchestration solutions for baremetal GPU provisioning in AI workloads.

Here are several governed orchestration solutions ideal for bare‑metal GPU provisioning in AI workloads, each tailored to different scales, governance needs, and operational styles:

• 1. NVIDIA AI Enterprise (GPU + Network Operators + Base Command Manager)
• Enables automated deployment of GPU drivers, container runtimes, and networking in Kubernetes via the GPU Operator, Network Operator, and DPU Operator, managed through the Base Command Manager for cluster provisioning and monitoring (docs.nvidia.com).

• 2. vMetal (by vCluster Labs)
• A newer platform (launched March 2026) offering a full lifecycle orchestration layer—from provisioning to repurposing GPU servers—with cloud-like automation. It’s NVIDIA Run:ai–compatible, supporting fairness and scheduling policies for AI workloads (vcluster.com).

• 3. MetalSoft Bare Metal Orchestrator
• Focused on bare-metal lifecycle management with GPU detection, secure provisioning, AI-driven troubleshooting, governance controls, and multi-site coordination—helpful for regulated environments or complex infrastructures (metalsoft.io).

• 4. Fairport
• Designed for rapid deployment: single-command installation bootstraps RKE2, networking, GPU operators, and even inference services. Offers built-in observability, job scheduling, and governance tools for inference pipelines (fairport.io).

• 5. Spectro Cloud
• Provides full-stack orchestration from bare metal to model, with strong governance features: declarative profiles, RBAC, quotas, cost/GPU metering, and policy enforcement across multi-cluster environments—even in air‑gapped or regulated settings (spectrocloud.com).

• 6. LayerOps
• Offers unified orchestration across cloud and bare-metal GPU resources. Useful for hybrid environments needing governance across providers—automates tagging, provider prioritization, and dynamic capacity selection (layerops.io).

Quick comparison by use case:

• Enterprise or on‑prem AI clusters with strict governance → NVIDIA AI Enterprise or Spectro Cloud
• Cloud‑style, policy‑driven provisioning at scale → vMetal or MetalSoft
• Rapid self-hosted AI inference deployment → Fairport
• Mixed on‑prem and cloud GPU orchestration → LayerOps

For more details or direct product links, let me know!