Nvidia is making a strong push into open-source artificial intelligence by acquiring SchedMD, the company behind the widely used Slurm workload manager, and unveiling a new family of AI models called Nemotron 3. These moves aim to expand access to AI tools for developers, researchers, and enterprises.
SchedMD develops Slurm, an open-source system that manages computing tasks across clusters and supercomputers. Nvidia’s acquisition will integrate Slurm into its AI and high-performance computing systems, but the company has assured users that Slurm will remain open-source and hardware-neutral. This ensures that research institutions and businesses can continue using and customizing the software freely.
Alongside this, Nvidia introduced Nemotron 3, which includes three models: Nano, Super, and Ultra. Nano is designed for efficient execution of smaller tasks, Super supports applications with multiple AI agents, and Ultra handles complex workloads requiring high performance. Nvidia has also released datasets, frameworks, and tools to help developers train, test, and adapt these models.
A key feature of Nemotron 3 is transparency. Nvidia is providing not just the model weights but also training data and the development framework. This openness allows developers to customize the models for different applications and contribute to their improvement.
The Nemotron 3 models are designed to deliver higher accuracy and faster performance while being flexible enough for deployment on cloud platforms and integration with popular open-source environments.
By combining Slurm’s infrastructure with open-source AI models, Nvidia is strengthening its role in the AI ecosystem. The company aims to foster collaboration, innovation, and accessibility, supporting developers and enterprises in building AI applications more efficiently and transparently.
