NVIDIA Acquires SchedMD

<p>NVIDIA says it has acquired SchedMD — the leading developer of Slurm&comma; an open-source workload management system for high-performance computing &lpar;HPC&rpar; and AI — to help strengthen the open-source software ecosystem and drive AI innovation for researchers&comma; developers and enterprises&period; The purchase price was not revealed&period;<&sol;p>&NewLine;<p>NVIDIA plans to continue to develop and distribute Slurm as open-source&comma; vendor-neutral software&comma; making it widely available to and supported by the broader HPC and AI community across diverse hardware and software environments&period;<&sol;p>&NewLine;<p>HPC and AI workloads involve complex computations running parallel tasks on clusters that require queuing&comma; scheduling and allocating computational resources&period; As HPC and AI clusters get larger and more powerful&comma; efficient resource utilization is critical&period;<&sol;p>&NewLine;<p>As the leading workload manager and job scheduler in scalability&comma; throughput and complex policy management&comma; Slurm is used in more than half of the top 10 and top 100 systems in the TOP500 list of supercomputers&period;<&sol;p>&NewLine;<p>Slurm&comma; which is supported on the latest NVIDIA hardware&comma; is also part of the critical infrastructure needed for generative AI&comma; used by foundation model developers and AI builders to manage model training and inference needs&period;<&sol;p>&NewLine;<p>&OpenCurlyDoubleQuote;We’re thrilled to join forces with NVIDIA&comma; as this acquisition is the ultimate validation of Slurm’s critical role in the world’s most demanding HPC and AI environments&comma;” said Danny Auble&comma; CEO of SchedMD&period; &OpenCurlyDoubleQuote;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&period;”<&sol;p>&NewLine;<p>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&period;<&sol;p>&NewLine;<p>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&comma; so customers can run heterogeneous clusters with the latest Slurm innovations&period;<&sol;p>&NewLine;<p>NVIDIA will continue to offer open-source software support&comma; training and development for Slurm to SchedMD’s hundreds of customers&comma; which include cloud providers&comma; manufacturers&comma; AI companies and research labs spanning industries such as autonomous driving&comma; healthcare and life sciences&comma; energy&comma; financial services&comma; manufacturing and government&period;<&sol;p>&NewLine;