Latest VLSI Techniques for 3nm Technology for Building Efficient AI Chips
Year: 2024
Type: article
Abstract: Modern AI chip design has achieved a remarkable milestone, delivering 10X productivity gains through advanced automation and machine learning optimization. Specifically, these improvements allow engineers to create more efficient designs while significantly reducing time-to-market. The integration of artificial intelligence into VLSI chip design has revolutionized how we approach complex semiconductor development. In fact, these technologies now enable the integration of billions of transistors onto a single chip, while optimizing power, performance, and area (PPA) for maximum efficiency. Furthermore, AI-driven predictive modeling helps identify potential issues early in the design phase, ensuring better outcomes before physical implementation. We will explore the latest techniques in 3nm technology, covering everything from process node fundamentals to thermal management systems. Our comprehensive guide examines power management architectures, memory integration methods, and neural processing unit designs that are essential for creating high-performance AI chips in today's competitive landscape.
DOI: 10.63995/dais5138
Authors: Q. Zhang, H. Deng, K. Song
Institution: Chang Gung University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4411121150