In this talk, we'll discuss Project MagLev, NVIDIA's internal end-to-end AI platform that enables the development of NVIDIA's self-driving car software, DRIVE. We'll explore the platform that supports continuous data ingest from multiple cars (each producing TBs of data per hour) and enables autonomous AI designers to iterate training new neural network designs across thousands of GPU systems and validate their behavior over multi PB-scale data sets. We will talk about our overall architecture, from data center deployment to AI pipeline automation, large-scale AI dataset management, AI training & testing. We will also touch on RAPIDS (
http://rapids.ai), NVIDIA's new platform to accelerate data science.
