- 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 announced a major expansion of its open source efforts, combining a software acquisition with new open AI models.
The company announced the acquisition of SchedMD, the developer of Slurm, an open source workload management system widely used in high-performance computing and AI.
Nvidia will continue to operate Slurm as vendor-agnostic software, ensuring compatibility with various hardware and providing support for existing HPC and AI clients.
Slurm and more
Slurm manages scheduling, queuing, and resource allocation across large computing clusters that run parallel tasks.
More than half of the top 10 and top 100 supercomputers listed in the TOP500 rely on these services, with enterprises, cloud providers, research labs and AI companies across all industries using the system, including organizations in autonomous driving, healthcare, energy, financial services, manufacturing and government.
Slurm runs on Nvidia’s latest hardware, and its developers continue to adapt it for high-performance AI workloads.
Along with the acquisition, Nvidia also introduced the Nemotron 3 family of open models, including Nano, Super and Ultra sizes.
The models use a hybrid architecture composed of experts 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, evaluation, and deployment in various computing environments.
Nvidia has released three trillion tokens of pre-training, post-training, and reinforcement learning data for Nemotron 3 models.
Additional AI tools, including NeMo RL and NeMo Evaluator, provide model evaluation and security assessment.
Early adopters integrating Nemotron 3 include companies in software, cybersecurity, media, manufacturing and cloud services.
Nvidia has made open source models, AI tools, and datasets available on GitHub and Hugging Face for developers creating agentic AI applications.
“Open innovation is the foundation of AI progress,” wrote Jensen Huang, founder and CEO of Nvidia, in the company’s press release.
“With Nemotron, we are transforming advanced AI into an open platform that provides developers with the transparency and efficiency they need to build agentic systems at scale. »
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