IDC, Virtualroundtable in Partnership with Synopsys
Optimizing AI Hardware for Training and Inference at Scale
AI training and inference together define the full lifecycle of artificial intelligence, from building models in thecloud to delivering real-time intelligence at the edge. As investment accelerates, organizations must navigate arapidly evolving hardware landscape spanning GPUs, custom silicon, and emerging AI accelerators.
Synopsys and IDC will explore how AI hardware is evolving across cloud and edge environments, from large-scale training on platforms to inference powered by specialized architectures from both established and emerging players.
In this session, we will:
• Discuss the challenges and opportunities of AI training and inference workloads.
• Explore real-world use cases across industries, from industrial automation to autonomous systems.
• Examine the rise of physical AI and the role of physics-based simulation in enabling next-generation intelligent systems.
What To Expect
Session Focus Areas
• AI Training at Scale: Cloud and Hyperscaler Architectures.
• The Rise of AI Inference: From Datacenter to Edge.
• The Evolving AI Chip Ecosystem.
• From Models to Real-World Applications.
• Physical AI and the Role of Simulation.
Speakers
Ashish Nadkarni
Group Vice President and General Manager, Global Domain Lead, Enterprise Infrastructure
IDC
Read bio
Ashish Nadkarni
Ashish Nadkarni leads IDC’s enterprise infrastructure global research domain. Ashish oversees five global research subdomains: core infrastructure, cloud infrastructure and services, network infrastructure and services, semiconductors and enabling technologies, and digital and datacenter infrastructure and services. Ashish’s coverage spans infrastructure software platforms, cloud and edge services, storage and converged systems, compute infrastructure, service provider trends, enterprise, emerging and performance intensive workloads (AI and HPC).
Ashish draws upon his experience working in the IT industry to take a long view on the lifecycle of infrastructure-related services, deployments, systems, platforms, and technologies. Examples of his research coverage include heterogeneous, accelerated, edge, analog and quantum computing, rackscale, composable/disaggregated architecture, memory, flash and other data persistence technologies, high-speed fabrics and interconnects, operating systems, and software-defined infrastructure.
Prith Banerjee
Prith Banerjee is Senior Vice President of Innovation at Synopsys. Prith leads the Synopsys Innovation Group (SIG) which fosters advancements in EDA, Simulation & Analysis, and IP. Working closely with Fellows, Chief Technologists, Architects, and the Technical Leadership team, SIG shapes the company’s technology strategy and fosters cross-functional collaboration. The group engages with customers, partners, startups, and academia to refine and share Synopsys’ technology vision.
Prior to joining Synopsys, Prith served as Chief Technology Officer at Ansys, where he was responsible for guiding the company’s long-term technology vision. He has held multiple senior leadership roles across technology and industrial organizations, including Executive Vice President and Chief Technology Officer at Schneider Electric, Chief Technology Officer and Executive Vice President at ABB in Zurich,and Managing Director of Global Technology R&D at Accenture. He also served as Senior Vice President of Research and Director of HP Labs at Hewlett-Packard, where he oversaw global innovation efforts.
Earlier in his career, Prith was a leader in academia, serving as Dean of the College of Engineering at the University of Illinois at Chicago and as Chairman of the Electrical and Computer Engineering Department at Northwestern University. He began his academic career as a professor at the University of Illinois at Urbana-Champaign.
A serial entrepreneur, Prith founded AccelChip, an EDA software company acquired by Xilinx, and BINACHIP, where he served as Founder, Chairman, and Chief Scientist. His research interests span electronic design automation and parallel computing, and he is the author of over 350 technical papers and has supervised 37 Ph.D. students.
Prith has been widely recognized for his contributions to technology and innovation. He was named one of Fast Company’s Top 100 Business Leaders in 2009 and is a Fellow of AAAS, ACM, IEEE and National Academy of Inventors. He is also a recipient of the ASEE Terman Award and the NSF Presidential Young Investigator Award.
He earned his B.Tech. in Electronics Engineering from the Indian Institute of Technology, Kharagpur, where he was awarded the President’s Gold Medal. He holds an M.S. and Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign.
Sponsor
Sponsored By
Synopsys
Synopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. They deliver industry-leading silicon design, IP and simulation and analysis solutions. They partner closely with customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow. Companies trust Synopsys to pioneer new technologies to help them get to market faster, without compromise.