Leader, Future Supercomputing & AI Capabilities, Microsoft.
“Computing for AI and Science Beyond 2030”
Abstract
This talk will explore some predictions about how computing might evolve over the next decade or more, with a particular focus on AI (e.g., generative AI and LLMs) and science use cases, from local scale to the largest scales of supercomputing. The talk will cover both technology and human aspects. Some of these predictions are grounded in exploratory work or actual projects underway, others are based on personal observations and speculations, including from a decade of providing HPC Leadership training.
Bio
Andrew leads planning of future HPC & AI capabilities for Azure, as part of the corporate engineering & product group. He joined Microsoft in early 2020, after nearly 25 years experience in the supercomputing community. Andrew has been an HPC end-user, researcher, software developer, HPC service manager, and impartial consultant. He has been a trusted voice on HPC strategy, technology evaluation and benchmarking, metrics, cost/value models and more. He has been lucky to have had rare exposure to state-of-practice in a wide range of HPC services/facilities across industry, government and academia around the world. Andrew is active on twitter as @hpcnotes.
Please click to download 2024 Slides in pdf.
multicore.world 