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Home / Technology / Nvidia Acquires Slurm, Boosts AI

Nvidia Acquires Slurm, Boosts AI

16 Dec

•

Summary

  • Nvidia acquired Slurm developer SchedMD, continuing its open source commitment.
  • Nvidia launched Nemotron 3, an efficient family of open AI models.
  • This move strengthens Nvidia's position in physical AI and robotics.
Nvidia Acquires Slurm, Boosts AI

Nvidia has intensified its commitment to open source artificial intelligence by acquiring SchedMD, the primary developer of the widely-used Slurm workload management system. The company stated that Slurm will continue as an open source, vendor-neutral software, crucial for high-performance computing and AI. This acquisition reinforces Nvidia's strategy to invest in and accelerate technologies vital for generative AI development.

Simultaneously, Nvidia introduced Nemotron 3, a new suite of open AI models. Marketed as the most efficient family for creating accurate AI agents, this release includes various models tailored for different applications, from targeted tasks to complex multi-agent systems. CEO Jensen Huang emphasized that open innovation is key to AI progress, positioning Nemotron as an open platform for developers.

These developments align with Nvidia's recent efforts to bolster its open AI offerings, including previous announcements of open reasoning and vision language models. The company is strategically positioning itself as a key supplier for emerging fields like robotics and autonomous vehicles, betting on physical AI as the next major frontier for its GPU technology.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Nvidia acquired SchedMD, the developer of the open source workload management system Slurm.
Nemotron 3 is a new family of efficient open AI models released by Nvidia for building accurate AI agents.
The acquisition ensures continued open source development of Slurm, a critical infrastructure for generative AI and high-performance computing.

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