NVIDIA announced that it has acquired SchedMD, the developer of the Slurm workload manager, on December 15 2025. The deal expands NVIDIA’s open‑source AI ecosystem and adds a critical component for managing job scheduling and resource allocation in high‑performance computing and AI training clusters worldwide.
Slurm is installed on more than half of the top 10 and top 100 supercomputers in the TOP500 list, making it a de‑facto standard for large‑scale AI workloads. By integrating Slurm, NVIDIA can offer a more complete end‑to‑end AI stack—from GPU hardware and networking to the software that orchestrates workloads—thereby reinforcing its CUDA‑centric ecosystem and giving it a stronger foothold in the infrastructure layer that supports its products.
NVIDIA has stated that it will continue to develop and distribute Slurm as open‑source, vendor‑neutral software. CEO Danny Auble of SchedMD expressed enthusiasm about joining forces with NVIDIA, noting that the acquisition validates Slurm’s role in demanding HPC and AI environments and will accelerate its evolution to meet future needs. NVIDIA’s leadership emphasized that the move will enable faster innovation in AI infrastructure while preserving the open‑source community’s trust.
The acquisition positions NVIDIA to compete more effectively against rivals that are building proprietary AI infrastructure solutions. By owning a widely adopted workload manager, NVIDIA can lock in customers who rely on Slurm for their AI pipelines, deepen integration with its GPU and networking products, and create new revenue opportunities through enhanced support and services. The deal also signals NVIDIA’s commitment to fostering an open ecosystem, which can mitigate concerns about vendor lock‑in and attract a broader developer base.
Overall, the SchedMD acquisition strengthens NVIDIA’s strategic focus on becoming an AI infrastructure company. It expands the company’s software portfolio, enhances its competitive positioning in the HPC and AI markets, and provides a platform for future growth in AI‑driven workloads. While the financial terms were not disclosed, the move is expected to deliver long‑term value by aligning NVIDIA’s hardware strengths with a leading open‑source software stack.
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