Autonomous vehicles: how to accelerate and scale autonomous vehicle development leveraging simulations

Development of highly automated and autonomous driving systems presents a massive data and computational challenge that impacts cost and time to market throughout the development cycle. Training, testing and validating self-driving systems requires large-scale deployment of compute, storage, and networking solutions to support the end-to-end workflow. By attending this session, attendees will learn how can accelerate the autonomous vehicle development process through simulations while also optimizing costs and time-to-market