In the Eleventh edition of EMC2 workshop, we plan to facilitate conversation about the sustainability of large-scale AI computingsystems being developed to meet the ever-increasing demands of generative AI. This involves discussions spanning multiple interre-lated areas. First, we continue to serve as the leading forums for discussing the energy-efficiency aspect of GenAI workloads whichdirectly impact the overall viability and economic value of AI technology. Second, we reassess the scaling laws of AI with theprevalence of agentic, multi-modal, and reasoning-based models in conjunction with novel techniques such as a highly sparse expertarchitecture and disaggregated computation. Finally, we discuss sustainable and high-performance computing paradigms towardsefficient datacenters and hybrid computing models that can cater to the exponential growth in model sizes, application areas, anduser base. This would allow us to explore ideas to build the hardware, software, systems, and scaling infrastructure, as well as modelarchitectures that make AI technology even more prevalent and accessible.

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