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

For baremetal GPU provisioning in AI workloads that require robust governance, several solutions offer automated orchestration, resource management, and security features:

• 1. Red Hat OpenShift AI (formerly Open Data Hub): This platform, built on Red Hat OpenShift Container Platform, provides a comprehensive environment for AI/ML development and deployment. It leverages the NVIDIA GPU Operator to manage the lifecycle of NVIDIA software components, enabling GPU-accelerated workloads on baremetal. OpenShift AI supports dynamic GPU allocation, multi-tenancy, and autoscaling through tools like Kueue (Kubernetes Elastic Unit Execution) to ensure efficient resource utilization and enforce quotas for different teams or projects.
• URL: https://www.redhat.com/en/technologies/cloud-native-development/openshift-ai

• 2. vMetal by vCluster Labs: vMetal automates baremetal GPU provisioning and deploys isolated tenant clusters directly on physical hardware, eliminating virtualization overhead. It offers a centralized control plane for discovering, provisioning, assigning, upgrading, and repurposing physical machines. vMetal is designed for AI cloud providers and enterprise AI platform teams, focusing on fast provisioning speed and tenant isolation.
• URL: https://vmetal.ai

• 3. MetalSoft: Designed for "Enterprise AI Factories" and GPU-as-a-Service (GPUaaS) providers, MetalSoft is an automated baremetal and network orchestration platform. It manages the full lifecycle of AI infrastructure, from discovery and provisioning to remediation and secure de-provisioning, with native integrations and automation hooks.
• URL: https://www.metalsoft.io/ai-factories

• 4. OpenStack Ironic: As an OpenStack project, Ironic enables baremetal provisioning, allowing you to deploy and manage physical servers as if they were cloud instances. It supports GPU capacity and integrates with other OpenStack services like Keystone (for authentication and authorization) and Nova (for managing both virtual and physical machines), providing a robust framework for building private AI clouds with governance.
• URL: https://www.openstack.org/assets/openstack-for-ai-white-paper.pdf