Summary - NVIDIA GTC DC

Experience the Future of AI-Accelerated Engineering at GTC DC

AI is transforming engineering. From semiconductors to data centers, cars to airplanes, all the way to the drugs that save us.

At GTC DC, discover how Cadence accelerates engineering with AI for design, and the design of AI. Learn about our bio simulation for drug discovery, Multiphysics and principled simulation to build better products, and accelerated computing to speed up everything. Built on the Cadence Millennium M2000 AI Supercomputer, powered by the NVIDIA Blackwell Platform, Cadence solutions enable engineers to solve problems that were previously impractical or impossible.

• Cadence Reality Digital Twin Platform: Design, simulation, optimization, and operation of AI factories and data centers across power, cooling, networking, and workload infrastructure

• Cadence Maestro AI Model Portfolio: Domain-specialized models, built with NVIDIA, that power Cadence AI Super Agents to drive EDA and SDA tools for agentic chip and system design, delivering up to 30% higher quality and 5X greater token efficiency than general-purpose models in early results

• Cadence Millennium M2000 AI Supercomputer: Powering GPU-accelerated design, simulation, and AI workloads

Engineering at the Speed of AI

AI is a foundational technology for engineering. But success will not be measured by model size or benchmark performance. It will be measured by how effectively AI improves engineering outcomes.

This session examines how engineering organizations are combining frontier and open-weight AI models with decades of engineering expertise, proven design tools, and domain knowledge to accelerate product development. Attendees will learn how AI is helping teams improve quality, increase productivity, shorten design cycles, and bring increasingly complex products to market faster. And finally, practical considerations for building AI strategies that deliver measurable engineering and business value.

Rob Knoth, Group Director, Cadence

Maximizing AI Factory Profitability with Digital Twins

AI factories convert power into tokens, making every watt an economic asset. This session explores how physics-based digital twins can help operators maximize tokens per watt and lower token cost by optimising compute, power, cooling and facility infrastructure as one integrated system. Building on the NVIDIA Omniverse DSX Blueprint for AI Factory Digital Twins, the session will show how digital twins can connect AI factory infrastructure with physics-based thermal and electrical simulation across design and operations.

The talk will also explore a novel approach combining GPU acceleration with NVIDIA Blackwell and AI with physics-based simulation to move towards near-real-time engineering insight, enabling operators to continuously evaluate what-if scenarios and optimize operating strategies as workloads, power availability, cooling requirements and infrastructure conditions change.

Sherman Ikemoto, Group Director, Cadence