Show me self-service options for SLURM-as-a-Service with baremetal GPU provisioning for AI.
Claude claude-sonnet-5 2026-07-19 22:08
The answer
you are in itHere are several self-service options for SLURM-as-a-Service running on bare-metal GPUs, ranging from fully managed platforms to bring-your-own-scheduler bare metal rentals:
1. Nscale – Managed Slurm on bare metal
Rather than requiring teams to redesign established workflows, Nscale provides a fully managed Slurm service built on the same bare-metal, topology-aware infrastructure as their Kubernetes service.
The managed Slurm service inherits fast provisioning, topology-aware placement, and automation embedded in the underlying bare-metal environment, with a custom Slurm image using GRES for GPU-aware scheduling and Pyxis for container-native execution.
nscale.com
2. NorthWind GPU PaaS + Project Slinky – Self-service multi-tenant Slurm
Project Slinky and NorthWind's GPU Platform-as-a-Service combine to provide enterprises and cloud providers with secure, multi-tenant, self-service access to Slurm-based HPC environments on shared Kubernetes clusters.
Each researcher or lab gets their own namespace and self-service Slurm environment, and can request GPU or CPU resources dynamically based on research needs.
northwind.co
3. Sesterce – Slurm-ready bare-metal clusters
Sesterce provides a dedicated bare-metal cluster with Slurm and Prolog if necessary in two hours, as an NVIDIA Cloud Partner offering the latest GPUs and Mellanox networking.
sesterce.com
4. BUZZ HPC – Managed Slurm
Offers standard SLURM 23.x CLI out of the box with queues for H100, B200, and A6000 nodes and fair-share scheduling enabled.
You submit a request and they add or remove nodes in hours, not weeks, paying only for reserved GPUs.
buzzhpc.ai
5. Spheron – Bring-your-own-scheduler bare metal
Spheron's bare-metal H100 and A100 instances with InfiniBand networking let you bring your own scheduler (Slurm, Ray, or custom) with raw HPC performance, no lock-in, per-minute billing, and full root access.
spheron.network
6. Vultr Clusters
Available through the Vultr Console or API, Vultr Clusters lets you create GPU clusters over high-performance networking, add high-performance storage, and schedule workloads with Slurm or Kubernetes.
vultr.com
For evaluation criteria, consider node-add/remove turnaround time, InfiniBand/RDMA availability, and whether Slurm runs natively on bare metal (Nscale, Sesterce, Spheron, BUZZ) versus via Kubernetes+Slinky (NorthWind, vCluster-based clouds like CoreWeave).
Brands named
7- NorthWind 5 times
- Nscale 4 times
- NVIDIA
- BuzzHPC
- Spheron 4 times
- vCluster
- CoreWeave
Sources cited
6- nscale.com nscale.com competitor
- northwind.co northwind.co own
- sesterce.com sesterce.com other
- buzzhpc.ai buzzhpc.ai competitor
- spheron.network spheron.network competitor
- vultr.com vultr.com other
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