Synopsys Data Center Simulations: Chip to Environment   

Overview

Data centers are entering a new era of scale and complexity driven by the explosive growth of AI, machine learning, and high-performance computing. These workloads demand unprecedented compute densities and energy efficiency which traditional cooling and infrastructure strategies can no longer manage effectively. At the same time, data center operators face mounting pressure to reduce environmental impact by minimizing heat rejection, water usage, and carbon footprint while ensuring resilience under dynamic workloads.

Two transformative trends are reshaping the industry

• Liquid cooling to manage thermal loads beyond the capabilities of air-based systems, and
• Digital twins to design, simulate, and operate facilities as continuously optimized ecosystems

Together, these technologies enable data centers to operate with greater efficiency, predictability, and sustainability across their full lifecycle. By integrating advanced cooling architectures with real-time digital intelligence, operators can confidently scale performance while meeting increasingly stringent environmental and operational demands.

What Attendees Will Learn

• Overview of Synopsys solutions for modern data centers
• Key challenges in data center design
• Role of multiphysics and simulation-driven approaches in end-to-end design and optimization
• Actionable insights on cooling, power delivery and digital twin strategies
• Real-world use case and best practices

Who Should Attend

• Thermal Engineers, Electrical Engineers, Mechanical Engineers, Systems Engineers, CAE Managers, Engineering Managers, Data Center Engineers, Network Engineers, Facilities Engineers

Speakers

• Viral Gandhi
• Wade Smith
• Jean Lachapelle