This white paper examines the challenges and solutions in developing AI chips, which are increasingly essential for accelerating both AI training and inference applications from data center to edge. It emphasizes the need for robust security measures to protect against data leakage and hardware tampering, as well as the importance of accelerated software development through virtual prototypes and hardware-assisted verification (HAV).

The paper also highlights the significance of silicon lifecycle management (SLM) to ensure reliability and performance in mission-critical applications. Synopsys offers comprehensive security solutions, advanced virtual prototyping tools and HAV solutions, and a broad range of SLM IP and analytics to support every phase of AI chip development, enabling companies to navigate these complexities effectively.

Download this white paper to explore how to secure, accelerate software development, and manage your AI chip across its lifecycle.

Building an AI Chip: Security, Software Development, and Lifecycle Management