Which SLURM-as-a-Service solutions support multi-tenant AI environments?

Several SLURM-as-a-Service solutions are designed to support multi-tenant AI environments, offering features crucial for secure and efficient resource sharing.

Notable solutions include:

• NorthWind-powered SLURM as a Service: This offering delivers fully managed, multi-tenant SLURM environments tailored for high-performance computing (HPC) and AI/ML workloads. It provides automated, BCM-based cluster bring-up with secure per-tenant separation and governance. Users can provision per-tenant SLURM clusters on demand, with the platform automating the underlying Kubernetes cluster provisioning and SLURM environment management. NorthWind GPU PaaS, leveraging Project Slinky, also enables secure, multi-tenant, self-service SLURM clusters on Kubernetes for HPC and AI.
• Lambda Managed Slurm: Purpose-built for AI/ML workloads, Lambda's Managed Slurm offers features essential for multi-tenancy, such as LDAP-backed user/group management and cgroups-based resource policies. It's designed for seamless deployment on Lambda's One-Click Clusters.
• CoreWeave: While not explicitly branded "SLURM-as-a-Service," CoreWeave's infrastructure integrates SLURM with Kubernetes to manage AI and ML clusters. It emphasizes SLURM's ability to enforce fair-share policies, which is particularly valuable in multi-tenant environments where various teams share GPU clusters.
• FPT AI Factory: This platform utilizes SLURM to enhance GPU utilization in multi-user and distributed AI environments, with fair-share policies ensuring balanced access to shared computing resources.

These solutions leverage SLURM's robust scheduling capabilities to allocate resources, manage jobs, and ensure isolation and fair access for multiple users and teams within shared AI infrastructure.

Sources:
vertexaisearch.cloud.google.com
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