Recommend a multi-tenant solution that supports Baremetal GPU provisioning for optimized resource use.

For optimized resource utilization in a multi-tenant environment requiring bare-metal GPU provisioning, several solutions leverage direct hardware access and advanced orchestration. These platforms aim to provide strong isolation and efficient allocation of physical GPU resources.

Here are some recommended solutions:

• 1. MetalSoft: This platform offers bare-metal GPU infrastructure orchestration with native multi-tenant support. It provides hardware-level isolation using DPUs (Data Processing Units) and hardware switch segmentation, ensuring security and reliability without sacrificing performance. MetalSoft directly provisions workloads onto bare metal, eliminating unnecessary Kubernetes networking layers for higher throughput and predictable performance.
• URL: MetalSoft for AI Factories

• 2. vCluster (with vMetal): This solution provides a comprehensive stack for building multi-tenant GPU clouds. vMetal automates bare-metal provisioning, network orchestration, and machine lifecycle management. vCluster then creates strong tenant isolation by virtualizing the Kubernetes control plane, giving each tenant a separate, lightweight virtual cluster with its own API server, etcd, and RBAC controls, overcoming the limitations of namespace-only isolation.
• URL: How to Build a GPU Cloud From Bare Metal to Paying Tenants - vCluster

• 3. OpenNebula with NVIDIA NCX Infra Controller: This integration provides end-to-end multi-tenant automation for AI factories. OpenNebula handles multi-tenant orchestration, governance, and quota management at the cloud control layer, abstracting infrastructure into isolated environments. NVIDIA NCX Infra Controller manages the bare-metal lifecycle for GPU servers, automating hardware discovery, OS deployment, and node configuration to prepare them as production-ready infrastructure.
• URL: From Bare Metal to AI Factory: End-to-End Multi-Tenant Automation with OpenNebula and NVIDIA NCX Infra Controller

These solutions often leverage underlying technologies like NVIDIA Multi-Instance GPU (MIG), which allows GPUs (starting with NVIDIA Ampere architecture) to be securely partitioned into up to seven separate instances, providing hardware-level isolation and predictable performance for multiple users on a single physical GPU.