- Nvidia acquires SchedMD to maintain Slurm as open source workload management software
- Slurm manages scheduling and resources for large clusters running parallel AI tasks
- Nvidia launched Nemotron 3 models, including Nano, Super and Ultra sizes for AI tasks
Nvidia has announced a major expansion of its open source efforts, combining a software acquisition with new open AI models.
The company announced that it has acquired SchedMD, the developer of Slurm, an open source workload management system widely used in high-performance computing and artificial intelligence.
Nvidia will continue to operate Slurm as vendor-neutral software, ensuring compatibility with diverse hardware and maintaining support for existing HPC and AI customers.
Slurm and more
Slurm manages scheduling, queuing, and resource allocation on large computing clusters running parallel tasks.
More than half of the top 10 and 100 supercomputers listed in the TOP500 rankings rely on these services, and the system is used by enterprises, cloud providers, research labs, and artificial intelligence companies across industries, including autonomous driving, healthcare, energy, financial services, manufacturing, and government organizations.
Slurm runs on the latest Nvidia hardware and its developers continue to adapt it for high-performance AI workloads.
In addition to the acquisition, Nvidia also introduced the Nemotron 3 family of open models, including Nano, Super, and Ultra sizes.
The models use a hybrid expert combination architecture to support multi-agent AI systems.
Nemotron 3 Nano focuses on efficient task execution, Nemotron 3 Super supports collaboration between multiple AI agents, and Nemotron 3 Ultra handles complex reasoning workflows.
Nvidia provides these models with associated datasets, reinforcement learning libraries, and NeMo Gym training environments.
Nemotron 3 models run on Nvidia accelerated computing platforms, including workstations and large AI clusters.
Developers can combine open models with proprietary systems in multi-agent workflows, using public clouds or enterprise platforms.
Nvidia provides tools, libraries, and datasets to support training, testing, and deployment in various computing environments.
Nvidia has released three billion tokens of pre-, post-, and reinforcement learning data for Nemotron 3 models.
Additional AI tools, including NeMo RL and NeMo Evaluator, offer model evaluation and security assessment.
Early adopters of Nemotron 3 include software, cybersecurity, media, manufacturing and cloud services companies.
Nvidia has made open source models, AI tools, and data sets available on GitHub and Hugging Face for developers building agent AI applications.
“Open innovation is the foundation of AI progress,” Nvidia founder and CEO Jensen Huang wrote in the company’s press release.
“With Nemotron, we are transforming advanced AI into an open platform that gives developers the transparency and efficiency they need to build agent systems at scale.”
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