What Happens When Scientific Discovery Runs at GPU Speed?
What Happens When Scientific Discovery Runs at GPU Speed?
Session for science, healthcare, and AI leaders
10 September | 11:00 - 12:00
Volvo Studio, Stockholm
Led by Dr. Ilya Burkov, Global Head of Healthcare & Life Sciences at Nebius, this session explores how AI and modern computing are becoming the next great instruments of scientific discovery.
Scientific breakthroughs have always followed the invention of new tools, from microscopes to telescopes. Today, advanced AI and GPU computing allow researchers to explore millions of possibilities, simulate complex systems, and uncover insights at unprecedented speed.
From drug discovery and biology to healthcare and materials science, AI is transforming research from a slow process of trial and error into a rapid cycle of prediction, experimentation, and learning. This session examines both the opportunities and the practical infrastructure required to turn that potential into meaningful scientific progress.
Discussion topics
Where AI is already accelerating scientific research and where it remains more hype than reality
How GPU computing is changing experimentation, simulation, and discovery
The infrastructure behind modern scientific AI, from training domain specific models to running inference at scale
How European research teams can address data residency and sovereignty without sacrificing performance
Moving from promising AI pilots to reliable, production-ready research infrastructure
Designed to connect scientific ambition with practical implementation, this session offers a grounded perspective on what it takes to build and operate AI infrastructure for modern research.
Who should attend?
This session is designed for senior leaders and technical specialists working at the intersection of AI, science, healthcare, and research, including:
Heads of AI, Machine Learning, and Data Science
ML platform, MLOps, and AI infrastructure leads
Directors of Computational Science, Bioinformatics, Cheminformatics, or Computational Chemistry
Research computing and HPC leads at institutes and universities
CTOs, VPs of Engineering, and Chief Scientific or Chief Digital Officers
Heads of R&D, Discovery, and Translational Research
Founders and technical co-founders of AI-native science and health startups
Principal research engineers and senior ML engineers responsible for training and inference workloads
Investors and ecosystem builders backing techbio and applied science AI
Industries and organisations
Pharma, biotech, and techbio
Medtech, diagnostics, and medical imaging
Digital health and healthcare providers
CROs and research service providers
Materials science, chemicals, and energy
Climate, weather, and earth systems modelling
Academic and public research institutions
What you’ll gain
A realistic view of where AI is already compressing research timelines
A clearer understanding of the computing layer supporting modern scientific AI
Insight into training domain specific models and operating inference at scale
Practical approaches to balancing performance with European data sovereignty requirements
Proven patterns for moving from experimental pilots to production, ready research infrastructure
Speaker
Dr. Ilya Burkov
Global Head of Healthcare & Life Sciences, Nebius
This event is part of Nordic Tech Week. If you have any questions, please contact events@nordictechweek.org.