Nvidia has strengthened its open-source artificial intelligence strategy by acquiring SchedMD, the company behind the widely used Slurm workload manager, and by launching a new family of open AI models known as Nemotron 3.
According to Nvidia, the acquisition of SchedMD is aimed at reinforcing the open-source infrastructure that underpins large-scale AI and high-performance computing (HPC) workloads. Slurm is a critical open-source tool used globally to schedule and manage jobs across massive computing clusters. Nvidia stated that Slurm will remain fully open source and vendor-neutral following the deal, ensuring continued support for the broader developer and research community. More details are available in the official Nvidia announcement on the SchedMD acquisition.
Alongside the acquisition, Nvidia unveiled the Nemotron 3 family of open-source AI models, designed to support advanced reasoning, agent-based AI systems, and enterprise-grade AI applications. The models are released in multiple sizes, including Nano, Super, and Ultra variants, allowing developers to balance performance and efficiency based on their needs. Nvidia has published technical details and availability information on its Nemotron 3 open-source model release page.
The move comes as competition in open-source AI intensifies, with companies worldwide releasing models and tools to attract developers and enterprises. Industry analysts note that Nvidia’s combined focus on open infrastructure software and open AI models could further entrench its position across the AI ecosystem. Reuters reported on the strategy shift in its coverage of Nvidia’s open-source AI expansion through the SchedMD deal.
Reuters also highlighted that the launch of Nemotron 3 aligns with a broader surge in open AI model development globally, particularly as companies respond to growing demand for transparent and customizable AI systems. Additional context on this trend can be found in Reuters’ report on Nvidia unveiling new open-source AI models amid global competition.
Together, the acquisition and model launch signal Nvidia’s intention to go beyond hardware leadership and play a larger role in shaping the future of open-source AI development.