英伟达护城河又宽了!低调收购开源算力调度王牌工具,全球过半顶级超算在用,Thinking Machines也离不开它
NvidiaNvidia(US:NVDA) 量子位·2025-12-17 03:38

Core Viewpoint - NVIDIA's acquisition of SchedMD is seen as a strategic move to expand its competitive edge in the HPC and AI sectors by integrating SchedMD's Slurm system into its ecosystem, thereby enhancing its influence beyond hardware to resource scheduling [1][11][15]. Group 1: SchedMD Overview - SchedMD, founded in 2010, specializes in large-scale computing task scheduling technology [5]. - The core asset of SchedMD is the open-source workload management system Slurm, which efficiently allocates computing resources across numerous devices for tasks such as AI model training and scientific research [6][8]. - Slurm is utilized by over half of the TOP500 supercomputers globally, as well as by major tech companies like Meta and various AI startups [3][9][10]. Group 2: Strategic Importance of the Acquisition - The acquisition allows for low integration costs due to a decade-long collaboration between NVIDIA and SchedMD, facilitating a smooth transition of technology and team integration [12][13]. - The strategic value of the acquisition lies in extending NVIDIA's influence from hardware to scheduling, ensuring that even clients using AMD or Intel chips will rely on NVIDIA's ecosystem through Slurm [14][15]. - This move further solidifies NVIDIA's position among key customer groups, including supercomputing centers, cloud providers, and AI enterprises [16]. Group 3: Future Considerations - NVIDIA has committed to maintaining Slurm's open-source and vendor-neutral attributes, ensuring continued access for global users [18]. - However, there are concerns regarding NVIDIA's ongoing investment in critical projects like Slinky, which supports Slurm-on-Kubernetes services, raising questions about the future stability of related businesses [19][21].