TLDR
- Nvidia has acquired SchedMD, the company behind Slurm, to expand its open-source software ecosystem for HPC and AI workloads.
- Slurm will remain open-source and vendor-neutral, with Nvidia committed to supporting diverse computing environments and systems.
- Nvidia plans to integrate Slurm with its Blackwell GPUs and InfiniBand networking to optimize AI training and scientific workloads.
- Nvidia introduced Nemotron 3 Nano models, targeting cost-effective, high-performance generative AI for writing and software development.
- With Meta exploring closed-source models, Nvidia aims to lead in open-source AI, aligning with U.S. security and transparency standards.
NVIDIA has acquired SchedMD, the company behind the open-source job scheduler Slurm, to enhance high-performance computing (HPC) and AI development. The acquisition allows Nvidia to expand its software ecosystem while keeping Slurm open-source and vendor-neutral.
Slurm to Remain Open-Source as Nvidia Deepens AI Infrastructure Focus
NVIDIA confirmed that Slurm will remain an open-source and hardware-agnostic workload manager. This ensures compatibility across various computing infrastructures. The company has worked with SchedMD for over ten years. Slurm is widely used in top-tier supercomputing systems and supports job scheduling across large CPU and GPU clusters. It manages complex computing workflows across heterogeneous hardware. NVIDIA plans to accelerate its access to next-generation hardware platforms.
The firm aims to integrate Slurm with its GPU and networking stack for better orchestration of AI and HPC workloads. This includes Nvidia’s latest Blackwell GPUs and InfiniBand networking. Nvidia says this will improve performance for AI training and scientific simulations.
The company stated, “Slurm is supported on the latest Nvidia hardware and is part of the infrastructure for generative AI.” This includes usage by foundation model developers. It helps manage large-scale model training and inference. Nvidia will also offer open-source software support and training for Slurm users. Its customer base spans cloud, manufacturing, healthcare, and government. This investment reflects NVIDIA’s commitment to AI infrastructure development.
New Nemotron Nano Models Released to Improve AI Efficiency
As reported by Blockonomi, Nvidia launched new open-source AI models earlier this week under its Nvidia TensorRT 3 Nano family. These models aim to reduce costs and improve efficiency. The launch responds to recent AI model releases in China.
Nemotron 3 Nano targets writing and software development use cases with enhanced performance on longer tasks. The model improves accuracy while maintaining lower operational costs. Nvidia released the model on Monday. Kari Briski, Nvidia’s Vice President of Generative AI, said the company focuses on trust and transparency. She emphasized the importance of making training tools and data available. The goal is to support customization and security testing.
Meta is reportedly shifting toward closed-source AI models. This move could increase Nvidia’s role in open-source AI development. Several U.S. agencies continue to restrict Chinese AI systems for national security reasons. Nvidia’s recent AI releases and the SchedMD acquisition align with its strategy to lead in AI infrastructure. These efforts support developers working on high-demand applications. The company continues to offer support for both AI and HPC users.
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