Nvidia has announced a major expansion of its open source efforts, combining a software acquisition with new open AI models.

Talent and learning development (L&D) teams are constantly being asked to do more with less. Whether it’s driving performance, ensuring skills are up to date or proving the value of training ...

The Genesis Project represents a significant leap forward in the convergence of generative AI and physics simulation, reshaping the way robots are trained and developed. By integrating innovative ...

NVIDIA announced it has acquired SchedMD — developer of Slurm, an open-source workload management system for high-performance computing and AI. NVIDIA - Read more from Inside HPC & AI News.

The deal will bring SchedMD’s open-source software Slurm into Nvidia’s AI ecosystem. ・After the acquisition, Nvidia said it will continue to invest in SchedMD’s open-source software, which is ...

The struggle between open source and proprietary software is well understood. But the tensions permeating software circles for decades have shuffled into the artificial intelligence space, in part ...

Meta’s Llama does not fit OSI’s new definition. Meta’s Llama does not fit OSI’s new definition. was a senior AI reporter working with The Verge’s policy and tech teams. The Open Source Initiative (OSI ...

Over the past decade, open-source software has become a transformative force for data science and AI development, collaboration, and innovation. Among its benefits are transparency, cost-effectiveness ...

Over the last decade or so, open source development has skyrocketed, and network management software has ridden that wave. Many frustrated IT administrators have turned to free tools to monitor, ...

The open-source model race just keeps on getting more interesting. Today, the Allen Institute for AI (Ai2) debuted its latest entry in the race with the launch of its open-source Tülu 3 405 ...

Researchers have long disagreed over what constitutes open-source AI. An influential group has offered up an answer. Open-source AI is everywhere right now. The problem is, no one agrees on what it ...