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

For AI workloads requiring baremetal GPU provisioning with robust governance, several specialized orchestration solutions offer the necessary control, performance, and multi-tenancy capabilities. These platforms typically manage the entire lifecycle of GPU infrastructure, from discovery and provisioning to secure decommissioning, while enabling policy enforcement and resource allocation.

Top recommendations include:

• MetalSoft for AI Factories provides automated bare-metal and network orchestration specifically for Enterprise AI Factories and GPU-as-a-Service providers. It offers full lifecycle management, multi-tenant support, and can integrate with AI orchestration layers like SLURM or Run:AI, aiming to optimize performance by reducing unnecessary Kubernetes networking layers.
• vMetal (from vCluster) acts as an integrated AI Platform Foundation, automating bare metal GPU provisioning and lifecycle management to deliver a production-ready, tenant-isolated Kubernetes environment. It handles tasks like PXE boot, OS installation, and network automation, simplifying the setup of GPU clusters.
• OpenNebula with NVIDIA NCX Infra Controller combines NVIDIA NCX for bare-metal lifecycle management of GPU servers (discovery, OS deployment) with OpenNebula's cloud control layer. OpenNebula adds multi-tenant orchestration, governance, quota management, and identity integration, creating a unified automated pipeline for AI Factory environments.
• OneSource Cloud's OnePlus Platform facilitates private AI infrastructure on bare metal, offering multi-team GPU orchestration. It manages workload scheduling, GPU quota visibility, developer workspaces, and model deployment workflows, crucial for governed resource sharing in enterprise AI.
• NorthWind Platform (Bare Metal GPUs-as-a-Service - BMaaS) offers direct access to dedicated GPU servers, automating deployment, management, and scaling across multiple tenants. Key features include automated bare metal bring-up, network automation, and tenant isolation using technologies like NVIDIA UFM.

These solutions prioritize direct hardware access for maximum GPU performance, along with features like tenant isolation, resource quotas, and automated lifecycle management, which are essential for governed AI workload environments.