Nvidia's acquisition of SchedMD, the company behind the Slurm workload manager used on ~60% of the world's supercomputers, is raising concerns among AI industry executives and supercomputing specialists. The worry is that Nvidia could subtly favor its own hardware (GPUs, InfiniBand) over competitors like AMD and Intel through roadmap decisions, integration timelines, and code prioritization. Analysts note that while Slurm's GPL v2.0 open-source license provides some protection — including the right to fork — it is not a complete shield, especially since Nvidia now employs most of the leading Slurm developers. The Bright Computing acquisition is cited as a precedent where software became optimized for Nvidia hardware. Experts recommend enterprises seek vendor-neutral SLA guarantees, diversify GPU procurement, and consider containerizing workloads to ease potential migration to alternative schedulers like Flux or Kubernetes.
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