In the webinar titled “AI Chip Design Using Agnisys”, we explored how advanced techniques like systolic arrays, parallel processing, and domain-specific accelerators are reshaping AI chip architectures for speed and energy efficiency. The session highlighted how Agnisys tools, such as IDesignSpec (IDS), automate RTL generation and streamline the design-to-implementation process, minimizing errors and accelerating time-to-market. Attendees gained insights into leveraging neuromorphic chips, 3D stacking, and edge-specific processors to address AI use cases in IoT, robotics, and beyond.

eBook: How Agnisys Eliminates Redundancies in Semiconductor Design, Verification, and Validation

Overcoming the weaknesses of traditional natural language specifications requires writing the specifications in a precise format rather than natural language, and making this format executable so that tools can generate as many files as possible for the design, verification, programming, validation, and documentation teams. Such a solution is available today.

Recent Blog Articles

Top 5 Design Automation Techniques for AI Chip Development

  How Engineering Teams Can Build Faster, Smarter & More Reliable Chips Chip design has always been a highly intricate...

Designing AI Chips: Key Considerations for Building Intelligent Hardware

  I’ve been writing a lot about AI lately, but for some good reasons. AI seems to be dominating a...

System-on-Chip Design: Integrating Complex Systems into a Single Silicon Solution

  If you ask people what defines a system-on-chip (SoC) design, you’ll probably get one of three responses. Many contend...

Request a Product Evaluation

Scroll to Top