Watch Now!

First Name

Last Name

Email

Job Title

Company Name

Country

State

I want to receive communications from Synopsys about products, services, and events. I may unsubscribe at any time. Privacy Notice

By providing your information, your personal data will be provided to Synopsys, Inc. (a United States company), and representatives may contact you. Privacy Notice. Synopsys is not affiliated with the host entity.

IP Design Considerations for Real-Time Edge AI Systems

Understand how to overcome power, latency, and area constraints in Edge AI hardware design.
Gain practical insights for mitigating IP integration risks and accelerating deployment.
Discover strategies to ensure scalability and reliability for next-generation edge solutions.

Edge AI systems increasingly require on-chip integration of large-capacity memory, compute engines, and inference-optimized accelerators—all within strict power, latency, and footprint constraints. Explore proven methodologies for designing and integrating IP to meet the unique demands of real-time Edge AI systems.

In this Synopsys webinar you will:

Watch now to learn actionable approaches for building efficient, high-performance Edge AI systems.

Featured Speaker:

Hezi Saar, Executive Director, Synopsys

Privacy Policy