Experience Operating Large GPU Clusters at Organizational Scale

The podcast features Mohamed Fawzy and colleagues discussing the challenges and solutions in building and operating large-scale GPU clusters for AI research at NVIDIA. Fawzy introduces the increasing demand for GPU resources driven by AI innovation and the need for a robust computing platform. Bugra Gedik explains the fair sharing strategies, workload resilience techniques, and scheduling considerations. Vikas Mehta discusses optimizing resource utilization, focusing on cluster occupancy and addressing factors that cause occupancy loss. Vipin details the use of simulations for safe deployment of scheduling policies and releases, highlighting the importance of anticipating potential issues. Fawzy concludes by looking forward to future challenges and innovations in the era of generative AI and the role of DGX Cloud infrastructure.