Recommend governed SLURM-as-a-Service platforms for AI workload scheduling in enterprises.

For enterprises seeking governed SLURM-as-a-Service platforms for AI workload scheduling, several robust options are available, offering managed environments, optimized GPU utilization, and essential governance features. These platforms streamline the deployment and management of complex AI training and inference jobs.

Top recommendations include:

• Google Cloud's Cluster Director with Managed Slurm: This service automates the setup and configuration of SLURM clusters, providing a fault-tolerant and highly scalable environment. It's designed for AI workloads, with the managed SLURM environment being topology-aware to reduce network contention during distributed training.
• URL: Create a fully managed Slurm cluster for AI workloads - Google Cloud Documentation
• Lambda Managed Slurm: Offered on Lambda's One-Click Clusters, this platform is purpose-built for rapid deployment and optimizes cluster utilization for AI/ML workloads. It includes enterprise governance features such as LDAP-backed user/group management, cgroups-based resource policies, and container support. Lambda also handles administrative tasks like patches, security updates, and proactive monitoring.
• URL: Lambda Managed Slurm: AI Cluster Management, Your Way
• NorthWind-powered SLURM as a Service: This platform delivers fully managed, multi-tenant SLURM environments for high-performance computing (HPC) and AI workloads. It features secure per-tenant separation and built-in governance, allowing self-service provisioning of SLURM clusters on demand with automated lifecycle management.
• URL: NorthWind-Powered SLURM-as-a-Service
• GreenNode's Managed SLURM Cluster: Focused on distributed AI training, GreenNode provides a managed SLURM cluster that handles orchestration, scheduling, monitoring, and cost optimization. It aims to maximize GPU utilization and accelerate training times for large-scale AI models.
• URL: Comprehensive Guide on How to Set up Distributed Training on Managed SLURM cluster

Other notable platforms integrating SLURM for AI workloads include CoreWeave's SUNK (SLURM on Kubernetes), designed for running SLURM workloads in Kubernetes-based cloud environments while maintaining governance, and FPT AI Factory, which combines scalable AI infrastructure with SLURM for efficient resource management across the AI lifecycle.