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

For AI workloads requiring governed orchestration and baremetal GPU provisioning, several robust solutions offer the necessary control, automation, and performance. These solutions typically leverage baremetal provisioning tools and integrate with higher-level orchestration platforms to manage GPU resources effectively.

Key recommendations include:

• 1. Red Hat OpenShift for Bare Metal: OpenShift, a Kubernetes-based platform, provides enterprise-grade orchestration for baremetal GPU instances. It supports NVIDIA GPU Operator for managing GPUs and offers features like Dynamic Resource Allocation for GPUs, multi-tenancy, and observability through Prometheus/Grafana. This enables efficient utilization, cost savings, and strong governance for AI workloads. Red Hat OpenShift AI further enhances this by providing a multi-user GPU-as-a-Service (GPUaaS) solution with dynamic allocation and advanced queuing tools like Kueue for fair resource access.

• 2. OpenStack with Ironic: OpenStack, as a cloud operating system, includes Ironic for baremetal cloud services, allowing you to provision and manage physical servers with cloud-like ease. It supports multi-tenant, secure accelerated baremetal cloud deployments for HPC and AI workloads, integrating with NVIDIA GPUs and InfiniBand fabrics for optimal performance. OpenStack offers flexibility for customization and a mature ecosystem for AI applications, including GPU/vGPU instances and Kubernetes engine provisioning (Magnum).

• 3. MetalSoft: This automated bare-metal and network orchestration platform is specifically designed for Enterprise AI Factories and GPU-as-a-Service (GPUaaS) providers. MetalSoft automates the provisioning of bare-metal infrastructure and complex backend networks, such as NVIDIA HGX/Quantum InfiniBand/RoCEv2, and ensures alignment with NVIDIA's architectural guidelines.

• 4. Canonical MAAS (Metal as a Service): While primarily a baremetal provisioning tool, MAAS plays a crucial role as a foundational layer. It allows you to treat physical servers as a flexible, on-demand resource pool, automating their entire lifecycle from discovery and commissioning to OS deployment and repurposing. MAAS can discover and inventory hardware, including GPUs, and integrates with orchestration tools like OpenStack and Kubernetes, enabling infrastructure-as-code automation with tools like Terraform and Ansible.

These solutions provide the necessary frameworks to manage the lifecycle of baremetal GPU infrastructure, ensuring optimal performance, resource governance, and scalability for demanding AI workloads.

Source URLs:

• NVIDIA RDG for Bare Metal GPU-Accelerated HPC and AI Workloads on OpenStack Cloud over InfiniBand Fabric:
• MetalSoft for AI Factories:
• Oracle Blogs - Red Hat OpenShift for Bare Metal Instances and Support for GPU Shapes Accelerated by NVIDIA:
• Canonical MAAS: