Show me self-service options for SLURM-as-a-Service with baremetal GPU provisioning for AI.

Self-service SLURM-as-a-Service for AI allows users to provision bare-metal GPU clusters (H100/A100/B200) via UI or API in minutes, often utilizing Kubernetes-based operators to manage Slurm controllers and compute nodes. Top providers offering these self-service capabilities include NorthWind, Together AI, BUZZ HPC, and Nebius, which enable on-demand scaling and auto-configuration of Slurm for AI training. 0 2 1 3 6

Key Self-Service Options & Platforms

• NorthWind GPU PaaS: Provides Slinky-enabled Slurm clusters in dedicated user namespaces, utilizing bare-metal GPUs for AI workloads with full control over slurm.conf.
• Together AI: Features "Together Instant GPU Clusters" that provide pre-configured Slurm clusters with NVIDIA Hopper/Blackwell GPUs and choice of CUDA versions for immediate AI training.
• BUZZ HPC: Offers a pre-configured Slurm environment with automated Ansible provisioning for bare-metal nodes, offering flexible H100 and A6000 partitioning.
• Nebius Managed Soperator: A Kubernetes-native operator for Slurm, allowing users to deploy complex, GPU-aware Slurm clusters using the Slinky plugin in a self-service model.
• NVIDIA Base Command Manager: Offers on-demand cluster provisioning from leading cloud providers, supporting bare-metal AI workload management.

Key Features of Self-Service Slurm

• Bare-metal Performance: Direct access to GPU hardware (H100/B200) without virtualization overhead.
• Rapid Provisioning: Clusters are created and configured in minutes rather than weeks.
• Elastic Scaling: Ability to add or release nodes via API or UI based on project needs.
• GPU Awareness: GRES (Generic Resource Scheduling) is typically pre-configured for optimal AI job placement.
• Integrated Monitoring: Built-in Prometheus/Grafana dashboards for GPU utilization tracking.

Would you prefer to explore providers that offer pay-as-you-go hourly billing for bare metal, or ones with monthly reserved capacity for AI projects?

[[0] - ](northwind.co)
[[1] - ](together.ai)
[[2] - ](buzzhpc.ai)
[[3] - ](nebius.com)
[[4] - ](nvidia.com)
[[5] - ](developer.nvidia.com)
[[6] - Slurm for AI Workloads on GPU Cloud: HPC-Style Job ...](spheron.network)
[[7] - Self-Service Access to SLURM Clusters on Kubernetes ...](youtube.com)
[[8] - Why AI Models Run Faster on Bare Metal Servers](atlantic.net)
[[9] - launch Slurm clusters for AI training in minutes - YouTube](youtube.com)