Nvidia's December acquisition of SchedMD, the developer of the open-source Slurm workload manager, has ignited concerns among AI and supercomputing specialists. Slurm is crucial for training large language models and manages approximately 60% of the world's supercomputers, including those used for weather forecasting and defense. Critics fear Nvidia may leverage its control over Slurm to favor its own hardware and software over competitors like AMD and Intel, potentially creating a performance advantage for its chips. While Nvidia asserts its commitment to open-source and vendor-neutral software, past acquisitions like Bright Computing, which was optimized for Nvidia hardware, fuel these anxieties. Users are closely watching how Nvidia integrates new hardware and updates Slurm to gauge its true intentions regarding fair competition in the AI infrastructure landscape.