Prime Highlights
- Nvidia has acquired SchedMD, the company behind the widely used Slurm workload management system, to strengthen its push into open-source AI infrastructure.
- Alongside the acquisition, Nvidia unveiled Nemotron 3, a new family of open AI models designed to support the development of AI agents.
Key Facts
- Slurm, launched in 2002, is a critical workload manager for high-performance computing and AI, and Nvidia will continue to operate it as an open-source, vendor-neutral platform.
- The Nemotron 3 lineup includes Nano, Super, and Ultra models, each built to handle varying levels of AI complexity and performance needs.
Background
Nvidia has taken another major step to strengthen its presence in open-source artificial intelligence by acquiring SchedMD, the company behind Slurm, a widely used workload management system for high-performance computing and AI. At the same time, the semiconductor giant has introduced a new family of open AI models under the name Nemotron 3.
Nvidia said SchedMD will continue to operate Slurm as an open-source and vendor-neutral platform. Financial terms of the deal were not made public by the company. Slurm, launched in 2002, plays a critical role in managing computing workloads across data centres, research labs, and AI clusters. SchedMD was founded in 2010 by Slurm’s lead developers, Morris Jette and Danny Auble, who currently serve as the company’s chief executive.
In a blog post, Nvidia said it has worked closely with SchedMD for more than ten years and views Slurm as essential infrastructure for generative AI. The company plans to keep investing in the platform and expand its reach across different computing environments.
Along with the acquisition, Nvidia launched Nemotron 3, a new set of open AI models to help create AI agents. The company said the models are designed to balance efficiency and accuracy for different uses.
The Nemotron 3 lineup includes Nano, a smaller model for focused tasks; Super, designed for multi-agent applications; and Ultra, which handles more complex AI workloads. Nvidia said the models aim to give developers more control and transparency while building large-scale AI systems.
Nvidia is focusing more on open innovation and physical AI. The company sees robotics and self-driving cars as the next big drivers of demand for advanced AI and GPUs. This strategy makes Nvidia a key technology provider in these areas.