Artificial Intelligence is advancing at an unprecedented pace-but behind every breakthrough model is a powerful, often overlooked force: hardware. As AI systems grow more complex, the design of the chips that power them is becoming a critical driver of performance, scalability, and innovation.

In this engaging and accessible session, we’ll explore how chip design fuels modern AI-from the fundamentals of how semiconductors are built to the role specialized processors play in training and deploying intelligent systems. Drawing from real-world industry examples and emerging trends, this session connects the dots between silicon, software, and the future of computing.

Our featured speaker, Nissy Zhou, a GPU Physical Design Engineer, brings deep expertise in semiconductor design and AI infrastructure. With firsthand experience in building the systems that power today’s most advanced technologies, Nissy offers a rare, behind-the-scenes look at the foundation of AI innovation.

Whether you're a leader, technologist, or simply curious about how AI really works under the hood, this session will give you a clearer understanding of the ecosystem shaping the future.

What You’ll Learn:

How chips are designed-from materials and transistors to full AI systems

The critical relationship between software and hardware in AI performance

Key differences between CPUs, GPUs, and emerging AI-specific chips

Why hardware is becoming the limiting factor-and opportunity-in AI innovation

Insights into the competitive landscape across companies like NVIDIA, Google, and Apple

Career pathways in semiconductor and AI infrastructure fields

Join us to connect with a dynamic community of innovators, expand your perspective on AI, and gain practical insights into the technology powering our future.

Reserve your spot and be part of the conversation.