The future of HPC is looking a lot like ML

This presentation addresses the following topic(s):

• Machine learning and HPC: Each worthy of its own investment, or better together? (Alternately: Marriage for the ages, or heading for divorce?)

Join this session to learn about the power of combining traditional HPC simulations with AI/ML services to activate new workflows and scientific breakthroughs. Review HPC systems evolution to the current state of the art and explore modern AI/ML workloads, such as training the largest natural language processing (NLP) model—the 175-billion parameter GPT-3 model. Finally, learn about building physics-informed neural networks requiring HPC-grade distributed systems, scaled efficiently on AWS.