NVIDIA Acquires Open-Source Workload Management Provider SchedMD
In recent developments, nvidia acquires open-source workload management provider schedmd nvidia will continue to distribute schedmd’s open-source, vendor-neutral slurm software, ensuring wide availability for high-performance computing and ai Experts suggest that december 15, 2025 by nvidia newsroom share email0 nvidia today announced it has acquired schedmd — the leading developer of slurm, an open-source workload management system for high-performance computing (hpc) and ai — to help strengthen the open-source software ecosystem and drive ai innovation for researchers, developers and enterprises Interestingly, nvidia will continue to develop and distribute slurm as open-source, vendor-neutral software, making it widely available to and supported by the broader hpc and ai community across diverse hardware and software environments Experts suggest that hpc and ai workloads involve complex computations running parallel tasks on clusters that require queuing, scheduling and allocating computational resources Experts suggest that as hpc and ai clusters get larger and more powerful, efficient resource utilization is critical In recent developments, as the leading workload manager and job scheduler in scalability, throughput and complex policy management, slurm is used in more than half of the top 10 and top 100 systems in the top500 list of supercomputers Experts suggest that slurm, which is supported on the latest nvidia hardware, is also part of the critical infrastructure needed for generative ai, used by foundation model developers and ai builders to manage model training and inference needs According to reports, “we’re thrilled to join forces with nvidia, as this acquisition is the ultimate validation of slurm’s critical role in the world’s most demanding hpc and ai environments,” said danny auble, ceo of schedmd
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