What Does #Nvidia’s Acquisition of #SchedMD Mean for #Slurm?
Slurm was developed at LLNL in the early 2000s to replace commercial workload management software for #HPC clusters and #supercomputers.
Addison Snell, the CEO of Intersect360, says the acquisition of SchedMD makes sense considering the emerging focus on developing #AI models to accelerate scientific discovery and engineering, and the need to integrate traditional HPC workloads and new AI ones.
https://www.hpcwire.com/2026/01/06/what-does-nvidias-acquisition-of-schedmd-mean-for-slurm/

#Nvidia pledges more openness as it slurps up #Slurm
The chip giant revealed yesterday that it had acquired #SchedMD, the key developer behind Slurm, which Nvidia described in a statement as "an #opensource workload management system for high-performance computing (#HPC) and #AI."
"Nvidia insisted it will also support "a diverse hardware and software ecosystem, so customers can run heterogeneous clusters with the latest Slurm innovations."
https://www.theregister.com/2025/12/16/nvidia_slurm_nemotron/

Still makes me quite nervous!

🚀 #NVIDIA fortalece su ecosistema de #supercomputación e #IA con la adquisición de #SchedMD, el creador de #Slurm. La jugada busca potenciar la investigación de código abierto y la innovación en #HPC.

Nvidia bulks up open source offerings with an acquisition and new open AI models

https://fed.brid.gy/r/https://techcrunch.com/2025/12/15/nvidia-bulks-up-open-source-offerings-with-an-acquisition-and-new-open-ai-models/

Been experimenting with #Slinky from #schedmd to spin up #slurm clusters on demand in my #homelab on a #kubernetes cluster. This example was done after about 20 mins of reading and prep.

I don't know if the project is ready to replace any workloads I manage yet. Is someone out there using this in any capacity in their #hpc environment (and not for AI/ML focused things)?