Building an AI Chip: Pre Silicon Planning

This white paper explores the critical first stage of AI chip development: pre-silicon planning. As artificial intelligence emerges as the dominant consumer of computational power, the demand for specialized AI chips has surged. The paper provides an overview of the AI market, highlighting the rapid growth and potential of AI applications across various sectors. It discusses the challenges of designing AI chips, including increased costs and power demands due to complex workloads. The importance of architecture exploration and IP selection during the pre-silicon phase is emphasized, showcasing how Synopsys’ tools can streamline the design process and optimize performance and power efficiency.

Key Takeaways:

• The significance of pre-silicon planning in AI chip development and its impact on project timelines and costs.
• Key challenges in AI chip design, including power consumption, data movement, and the need for specialized hardware.
• How Synopsys’ solutions facilitate architecture exploration and IP selection to enhance design efficiency and performance.