NVIDIA Acquires SchedMD: Taking Control of Slurm to Supercharge GPU Cluster Scheduling and Slash Enterprise Multi-Cluster Overhead
NVIDIA announced on December 15, 2025, the acquisition of SchedMD — the primary developer and commercial supporter of Slurm, the world's most widely used open-source workload manager powering over 60% of TOP500 supercomputers and countless AI training clusters. This move tightens NVIDIA's grip on the full AI infrastructure stack, promising deeper GPU-aware scheduling, heterogeneous cluster optimization, and dramatic cost reductions for enterprises juggling massive multi-cluster environments. Slurm remains fully open-source and vendor-neutral, with NVIDIA committing to accelerated innovation while honoring existing customer support contracts.
NVIDIA Acquires SchedMD: Taking Control of Slurm to Supercharge AI Workload Scheduling and Slash Multi-Cluster Management Costs
NVIDIA announced on December 15, 2025, the acquisition of SchedMD — the primary developer and maintainer of Slurm, the world's most widely used open-source workload manager powering over 65% of TOP500 supercomputers. By bringing Slurm in-house after a decade-long collaboration, NVIDIA aims to deeply optimize GPU scheduling for massive AI training and inference, enable seamless heterogeneous cluster management, and dramatically reduce enterprise overhead in running multi-vendor, multi-site AI infrastructures. Slurm remains fully open-source and vendor-neutral, with NVIDIA committing to accelerated innovation and continued support for existing customers.
