Presentation
Optimizing HPC for AI: Essential Architectural Insights
DescriptionEarly adopters of AI, particularly in large language model (LLM) applications, are transforming industries like pharmaceuticals and high-performance computing (HPC). This session will explore key considerations for integrating AI with HPC, focusing on both hardware and software optimization.
We’ll discuss specialized hardware setups, such as GPUs and TPUs, which are essential for managing AI workloads, including thermal management strategies demonstrated by Europe’s first Exascale system, JUPITER. On the software side, we’ll cover the importance of tailored AI models and efficient resource management.
Finally, we'll present a case study from the European Centre for Medium-Range Weather Forecasts (ECMWF), showcasing how AI-driven optimization of their Tripleclouds model improved performance and accuracy. Featuring expert speakers and interactive polling, the session will provide practical strategies and real-world examples from leading projects in the HPC-AI arena. Participants will also have access to a downloadable white paper and customer case study.
We’ll discuss specialized hardware setups, such as GPUs and TPUs, which are essential for managing AI workloads, including thermal management strategies demonstrated by Europe’s first Exascale system, JUPITER. On the software side, we’ll cover the importance of tailored AI models and efficient resource management.
Finally, we'll present a case study from the European Centre for Medium-Range Weather Forecasts (ECMWF), showcasing how AI-driven optimization of their Tripleclouds model improved performance and accuracy. Featuring expert speakers and interactive polling, the session will provide practical strategies and real-world examples from leading projects in the HPC-AI arena. Participants will also have access to a downloadable white paper and customer case study.