Nvidia expands its open source offerings and finds new open source AI models

Nvidia continues to expand its footprint in open source AI on two fronts: acquisitions and new model releases.

The semiconductor giant announced on Monday that it has acquired SchedMD, the developer of a popular open source workload management system. Slurm. Nvidia said the company will continue to use the software, which is designed for high performance and AI, as an open, neutral software.

Slurm was first founded in 2002 and SchedMD was founded in 2010 by Slurm’s lead directors Morris Jette and Danny Auble. Auble is the current CEO of SchedMD.

Terms of the deal were not disclosed. Nvidia declined to comment further company blog post.

Nvidia has been working with SchedMD for more than ten years and said in its blog that the technology is very important in the development of AI. The company plans to continue to invest in technology and “accelerate” its access to various systems.

The semiconductor company released a new family of open-source AI models on Monday. The company said that this group of models, called Nvidia Nemotron 3it’s “an efficient family of open source models” for building accurate AI agents.

The model family includes the Nemotron 3 Nano, a small model for the tasks you need, the Nemotron 3 Super, a model designed for general AI applications, and the Nemotoron 3 Ultra, designed for more complex applications.

“Open innovation is at the heart of AI progress,” Jensen Huang, founder and CEO of Nvidia, wrote in a company statement. “With Nemotoron, we’re turning advanced AI into an open platform that gives developers the intuitive and scalable interface they need to create functional systems at scale.”

In recent months, Nvidia has pushed to strengthen its open source and open AI offerings.

Last week, the company announced a new open vision language, Alpine-R1which focuses on driving research. The company also said at the time that it had added more tours and guides to its global Cosmos models, which are open source under a license, to help developers use those models to create physical AI.

This project shows Nvidia’s bet Physical AI will be the next frontier for its GPUs. Nvidia wants to be the leading supplier of robotics — or self-driving cars — that are looking to AI and software to create the brains behind the technology.