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, leveraging SLURM's capabilities for resource allocation, fair-share scheduling, and GPU management. These platforms often integrate SLURM with other technologies like Kubernetes to provide robust isolation and management for multiple users or teams.

Key solutions include:

• NorthWind-powered SLURM as a Service delivers fully managed, multi-tenant SLURM environments. It offers secure per-tenant separation and governance, allowing multiple teams to launch SLURM clusters on demand. This solution supports both HPC and AI/ML workloads on a single platform.
• CoreWeave integrates SLURM with Kubernetes, enabling fair-share policies that are valuable in multi-tenant environments where various research teams or business units share GPU clusters.
• Lambda Managed Slurm provides a fully supported SLURM offering purpose-built for AI/ML workloads. It includes LDAP-backed user/group management and cgroups-based resource policies, which are foundational for multi-tenant operations.
• FPT AI Factory complements SLURM with scalable GPU environments, emphasizing SLURM's role in improving GPU utilization in multi-user and distributed AI environments through fair-share policies.

SLURM's inherent features, such as fair-share scheduling and fine-grained GPU allocation (including NVIDIA MIG support), are crucial for multi-tenancy in AI, preventing any single team from monopolizing resources and ensuring equitable access.

Sources:

• vertexaisearch.cloud.google.com
• vertexaisearch.cloud.google.com
• vertexaisearch.cloud.google.com
• vertexaisearch.cloud.google.com
• vertexaisearch.cloud.google.com