Engineering at AI Speed: Near-CFD Accuracy in 0.1 Seconds
October 27, 2026
11:00 AM ET / 10:00 AM CT / 8:00 AM PT / 4:00 PM GMT
Duration: 1 hour
Already registered? Click here to log in.
Summary
Centrifugal compressors are critical assets underpinning energy and industrial systems, from LNG and gas pipelines to refining, hydrogen, and data center power. Yet optimizing these complex machines depends on Computational Fluid Dynamics (CFD) simulations that can take hours or days to complete, limiting the speed and breadth of design exploration. Baker Hughes set out to change that.
- Learn how energy technology company Baker Hughes developed a physics-informed AI surrogate that generalizes across compressor families — a critical piece of equipment at the heart of key energy operations — eliminating the need to build and train a separate AI model for every centrifugal-compressor stage while preserving near-Computational Fluid Dynamics (CFD) accuracy.
- Examine blind-test results demonstrating 99.5% median accuracy in predicting 3D flow fields and compressor performance for geometries the model had never seen before.
- Understand how inference times were reduced from hours to fractions of a second, transforming engineering workflows from batch simulation to interactive design.
- See how NVIDIA PhysicsNeMo and the Dell Pro Max with GB300 accelerated computing enabled full-resolution model training, overcame memory constraints, and unlocked design-space explorations that were previously impractical at industrial scale.
Join Baker Hughes, Dell Technologies, and NVIDIA to discover how a physics-informed AI surrogate, trained on advanced deskside accelerated computing infrastructure, is collapsing simulation timelines and unlocking a new era of interactive turbomachinery design.
Speaker
Richard Borge
AI and Accelerated Computing Manager
Baker Hughes
Richard Borge is an engineering and technology leader at Baker Hughes, where he leads teams advancing artificial intelligence, including physics-based AI, sensing and signal intelligence, and advanced computing, for energy and industrial applications. With nearly two decades of experience across the public and private sectors, he has developed technology and AI solutions and helps shape the enterprise's AI strategy and technology partnerships. His work applies physics-based AI to accelerate simulation, optimize industrial processes, and shorten R&D cycles. He also supports innovation-led growth at Baker Hughes through externally funded research programs and the evaluation of start-ups and emerging technologies. Richard is a published author who holds multiple patents and industry awards, and a M.S. in Mechanical Engineering from the Georgia Institute of Technology.
Sangeeta Nundy
Staff AI Scientist
Baker Hughes
Sangeeta Nundy is an AI Specialist at Baker Hughes, where she advances physics-based AI, control optimization, signal intelligence, and computer vision for energy and industrial applications. With 11 years of experience in estimation, forecasting, uncertainty quantification, and digital twin development, she turns complex engineering challenges into mathematical and data-driven solutions grounded in physics and engineering constraints. Her work applies advanced analytics, scientific modeling, and AI-enhanced design and optimization to accelerate engineering design, improve operational performance, and turn data into actionable insights. She also supports innovation at Baker Hughes through externally funded research programs. Her forward-looking interests include generative design, agentic AI, and autonomous systems. Sangeeta holds an M.S. and a Ph.D. in Control Systems.
Dustin Mattio
AI and Accelerated Computing Advisor
NVIDIA
Dustin Mattio works at the intersection of accelerated computing, AI, and engineering. His focus is bringing technologies such as NVIDIA DGX, next-generation GPU architectures, containerization, and scalable AI infrastructure into real-world energy and engineering applications. He is passionate about connecting deep technical innovation with business strategy and helping teams adopt new approaches to AI, simulation, and high-performance computing.
Ahsan Yousufzai
Global Director, Energy
NVIDIA
Ahsan Yousufzai is the Global Director of Energy at NVIDIA, where he spearheads thought leadership to drive digital transformation across the energy sector through AI and accelerated computing. He works closely with leading Oil & Gas, Power & Utilities, EPC, and technology firms CxO’s to adopt AI and Digital Twins for faster and sustainable energy transition.
With over 20 years of global leadership experience at Siemens, GE, and Baker Hughes, Ahsan worked across Asia, Middle East, Europe, and the Americas. His deep industry expertise and passion for innovation position him at the forefront of reshaping the future of energy.
Veronica Thums
Industry Strategist, Energy & HCLS
Dell Technologies
Veronica Thums is a Global Industry Strategist for Energy and Healthcare Life Sciences in the Specialty PC business at Dell Technologies. She works closely with independent software vendors (ISVs), customers and technology partners spanning a range of workflows and marketing activations. Veronica focuses on enabling digital transformation through purpose-built technology and real-world outcomes.
Sponsored by:
