Nvidia’s Expansion in Open Source AI: Acquisitions and New Model Releases
Nvidia Expands in Open Source AI
Nvidia continues to make strides in the open source AI space with recent announcements of an acquisition and the release of a new model family.
Acquisition of SchedMD
Nvidia recently acquired SchedMD, the developer behind the popular open source workload management system, Slurm. Slurm, designed for high-performance computing and AI, has been a critical infrastructure for generative AI since its launch in 2002. The acquisition of SchedMD will allow Nvidia to continue operating Slurm as open source, vendor-neutral software. Terms of the deal were not disclosed, but Nvidia expressed its commitment to investing in the technology and expanding its access to different systems.
New Model Family: Nvidia Nemotron 3
Alongside the acquisition, Nvidia also introduced a new family of open AI models called Nvidia Nemotron 3. This model family includes the Nemotron 3 Nano, a small model for targeted tasks, the Nemotron 3 Super for multi-AI agent applications, and the Nemotron 3 Ultra for more complex tasks. According to Nvidia, these models are the most efficient for building accurate AI agents.
Focus on Open Innovation
Jensen Huang, founder and CEO of Nvidia, emphasized the importance of open innovation in AI progress. With Nemotron, Nvidia aims to transform advanced AI into an open platform that provides developers with the transparency and efficiency needed to build agentic systems at scale.
Recent Developments
In addition to the acquisition and model release, Nvidia has been actively expanding its open source and open AI offerings. The company recently announced the Alpamayo-R1 open reasoning vision language model for autonomous driving research. Nvidia also added more workflows and guides for its Cosmos world models, which are open source under a permissive license, to help developers leverage the models for physical AI development.
Future Outlook
Nvidia’s focus on open source AI and its investments in physical AI reflect the company’s belief that this will be the next frontier for its GPUs. As more robotics and self-driving vehicle companies seek AI and software solutions for their technology, Nvidia aims to position itself as the leading supplier in this space.
