
NVIDIA today announced it has acquired SchedMD — the leading developer of Slurm, an open-source workload management system for high-performance computing (HPC) and AI — to help strengthen the open-source software ecosystem and drive AI innovation for researchers, developers and enterprises.
NVIDIA will continue to develop and distribute Slurm as open-source, vendor-neutral software, making it widely available to and supported by the broader HPC and AI community across diverse hardware and software environments.
HPC and AI workloads involve complex computations running parallel tasks on clusters that require queuing, scheduling and allocating computational resources. As HPC and AI clusters get larger and more powerful, efficient resource utilization is critical.
As the leading workload manager and job scheduler in scalability, throughput and complex policy management, Slurm is used in more than half of the top 10 and top 100 systems in the TOP500 list of supercomputers.
Slurm, which is supported on the latest NVIDIA hardware, is also part of the critical infrastructure needed for generative AI, used by foundation model developers and AI builders to manage model training and inference needs.
“We’re thrilled to join forces with NVIDIA, as this acquisition is the ultimate validation of Slurm’s critical role in the world’s most demanding HPC and AI environments,” said Danny Auble, CEO of SchedMD. “NVIDIA’s deep expertise and investment in accelerated computing will enhance the development of Slurm — which will continue to be open source — to meet the demands of the next generation of AI and supercomputing.”
NVIDIA has been collaborating with SchedMD for over a decade and will continue investing in Slurm’s development to ensure it remains the leading open-source scheduler for HPC and AI.
NVIDIA will accelerate SchedMD’s access to new systems — allowing users of NVIDIA’s accelerated computing platform to optimize workloads across their entire compute infrastructure — while also supporting a diverse hardware and software ecosystem, so customers can run heterogeneous clusters with the latest Slurm innovations.
NVIDIA will continue to offer open-source software support, training and development for Slurm to SchedMD’s hundreds of customers, which include cloud providers, manufacturers, AI companies and research labs spanning industries such as autonomous driving, healthcare and life sciences, energy, financial services, manufacturing and government.
Together with SchedMD, NVIDIA is bolstering the open-source software ecosystem to catalyze HPC and AI innovation across industries, at every scale.
Now Generally Available, NVIDIA RTX PRO 5000 72GB Blackwell GPU Expands Memory Options for Desktop Agentic AI
Key considerations
- Investor positioning can change fast
- Volatility remains possible near catalysts
- Macro rates and liquidity can dominate flows
Reference reading
- https://blogs.nvidia.com/blog/nvidia-acquires-schedmd/#content
- https://www.nvidia.com/en-us/
- https://blogs.nvidia.com/?s=
- AI surpasses 2024 Bitcoin mining in energy usage, uses more H20 than the bottles of water people drink globally, study claims — says AI demand could hit 23GW an
- Here's why HBM is coming for your PC's RAM — HBM consumes around three times the wafer capacity of DDR5 per gigabyte, as AI supercharges demand for chips and ad
- Mini-ITX motherboard launches with four full-sized RAM slots in the middle of a RAM shortage — support for up to 256GB of glorious DDR5 on a tiny PCB
- TSMC brings its most advanced chipmaking node to the US yet, to begin equipment installation for 3mn months ahead of schedule — Arizona fab slated for productio
- Mixture of Experts Powers the Most Intelligent Frontier AI Models, Runs 10x Faster to Deliver 1/10 the Token Cost on NVIDIA Blackwell NVL72
Informational only. No financial advice. Do your own research.