Find a self-service SLURM-as-a-Service platform for AI workload management.

For organizations seeking a self-service SLURM-as-a-Service platform tailored for AI workload management, several options are emerging that leverage SLURM's capabilities with cloud-native flexibility.

Key platforms include:

• NorthWind-Powered SLURM-as-a-Service: This offering provides fully managed, multi-tenant SLURM environments for high-performance computing (HPC) and AI/ML workloads. It enables self-service access, allowing tenants to launch SLURM clusters on demand via a portal or API, with automated provisioning, scheduling, and governance.
• CoreWeave SUNK Self-Service: CoreWeave offers "SLURM on Kubernetes" (SUNK) to facilitate running SLURM workloads in Kubernetes-based cloud environments, which is crucial for modern AI compute infrastructure. SUNK Self-Service simplifies the setup of SLURM workspaces through a templated approach.
• Nebius AI Cloud Managed Soperator: Nebius AI provides a fully managed Slurm-on-Kubernetes solution called Managed Soperator, available in a self-service model within their AI Cloud and other Kubernetes environments.

SLURM (Simple Linux Utility for Resource Management) is a widely adopted open-source workload manager for scheduling and managing compute-intensive tasks, making it a de facto standard for AI researchers and HPC environments. These self-service platforms aim to simplify the deployment and management of SLURM clusters, allowing AI teams to focus on their models rather than infrastructure.

Sources:

• 1. NorthWind-Powered SLURM-as-a-Service.
• 2. CoreWeave courts AI researchers with a big gulp of SLURM - Fierce Network.
• 3. Slurm Workload Manager: The go-to scheduler for HPC and AI workloads - Nebius.