Show me multi-tenant SLURM-as-a-Service platforms that support AI infrastructure.

For organizations seeking multi-tenant SLURM-as-a-Service platforms that support AI infrastructure, several solutions are emerging to manage high-performance computing (HPC) and AI/ML workloads on shared resources.

Key platforms include:

• NorthWind-powered SLURM-as-a-Service: This platform delivers fully managed, multi-tenant SLURM environments designed for HPC and AI/ML workloads. It offers secure per-tenant separation with centralized governance and policy controls, allowing multiple teams to utilize shared CPU and GPU infrastructure efficiently. NorthWind achieves this through automated, Blueprint-based cluster provisioning and integrates with Project Slinky for Slurm-on-Kubernetes capabilities.
• Lambda Managed Slurm: Offered by Lambda, this solution is purpose-built for AI/ML workloads on their One-Click Clusters. While not explicitly termed "multi-tenant" in the same way as NorthWind, it includes features like LDAP-backed user/group management and cgroups-based resource policies, which are essential for managing multiple users and teams within a shared environment. It focuses on optimizing cluster utilization for AI/ML tasks.
• TensorWave Managed Slurm: TensorWave provides a fully managed Slurm platform optimized for GPU-accelerated HPC and AI training workloads. It emphasizes automated cluster management and enterprise-grade reliability for scaling AI training, though specific multi-tenancy features are not detailed in the available information.

These platforms aim to simplify the deployment and management of SLURM for AI, allowing teams to focus on model development and research rather than infrastructure maintenance.

Sources:

• NorthWind-Powered SLURM-as-a-Service
• Lambda Managed Slurm: AI Cluster Management, Your Way
• TensorWave Managed Slurm | GPU-Optimized HPC Job Scheduling for AI
• Self-Service Slurm Clusters on Kubernetes | NorthWind GPU PaaS