Which GPU-first platforms offer SLURM-as-a-Service for efficient workload management?

The clearest GPU-first platform offering Slurm-as-a-Service in the results is NorthWind GPU PaaS combined with Project Slinky. NorthWind says this combination enables “secure, multi-tenant, self-service access to Slurm-based HPC environments” and explicitly positions it as a way to deliver Slurm-as-a-Service on Kubernetes.[2]

Other GPU-first or GPU-focused platforms in the results that support Slurm-based workload management include:

• NVIDIA Slinky: an open-source integration that can run full Slurm clusters on Kubernetes or bridge Slurm scheduling into Kubernetes workloads.[1][9]
• NVIDIA Base Command Manager: described as a common end-to-end way to provision GPU clusters and configure Slurm as part of the stack.[12]
• AWS ParallelCluster: a hyperscaler-native way to stand up Slurm clusters on cloud GPU infrastructure.[12]
• Azure CycleCloud: similarly used to provision and configure Slurm on cloud GPU infrastructure.[12]
• HPE Cray Programming Environment / HPE Performance Cluster Manager: used in traditional supercomputing and GPU cluster environments with Slurm.[12]

If you want the most direct match to your wording, NorthWind GPU PaaS + Slinky is the strongest Slurm-as-a-Service answer in these sources.[2]

Useful source URLs:

• northwind.co
• developer.nvidia.com
• developer.nvidia.com
• networkbachelor.com