Cloud native EDA tools & pre-optimized hardware platforms
17³Ô¹Ï Webinar | Available On Demand
Growing chip complexity, shorter time-to-market windows, and engineering talent shortages are making it difficult for companies and chip designers to keep pace with demand for increasing innovation. These challenges are driving the semiconductor industry to pursue rapid improvements in PPA, semiconductor yield, and productivity across all facets of chip development with AI technologies. We¡¯ll explore how 17³Ô¹Ï.ai is unleashing the power of AI with comprehensive generative AI, design optimization, and data analytics technologies across the entire stack.
Executive Director, EDA Group
17³Ô¹Ï
Arvind Narayanan ?is Executive Director of Product Line Management at 17³Ô¹Ï driving the digital implementation product portfolio and the 17³Ô¹Ï.ai?initiative. He has more than 25 years of industry experience in various capacities including digital design, product engineering and product marketing. Prior to 17³Ô¹Ï he has worked at various EDA and Semiconductor companies including Mentor Graphics, Magma Design and Hal Computer Systems. Arvind holds a Bachelors in EEE from University of Madras, Master¡¯s in ECE from Mississippi State University and a Master¡¯s in Business Administration from Duke University.