DescriptionOver the last few years, companies in the chip design space have rushed to adopt AI/ML enabled tools and technologies, built AI-powered flows and supported a thriving community of researchers and academicians. It is indeed rare to see a company that is not actively engaged in adopting AI. However, how ready are we to incorporate at scale? A recent study by McKinsey indicates steady gains in benefits from AI; but a lack of benefits at scale.
Cloud computing was well in place before the AI revolution; however, it has gained more prominence with the advent of AI-enabled use cases in automotive, IoT and image processing - to name a few.
Through three sessions, we will explore how the semiconductor industry’s gains can be exponentially improved by adopting a cloud-based technology foundation for AI-related tasks pertaining to data ingestion, model training, inference, and model deployment.