Facebook's strength in AI innovation comes from the ability to quickly bring cutting-edge research into large scale production using a multi-faceted toolset. We'll discuss how Facebook leverages open source software to perform truly iterative AI research, scale it seamlessly for inference, and deploy it across the data center and mobile environments with ONNX.
Facebook AI Research (FAIR) in partnership with NVIDIA has designed a scale-out infrastructure built on NVIDIA DGX-1. This initiative began with an extensive evaluation of design approaches for multi-system scale, as well as considerations for networking and storage supporting one of the world's largest DGX-1 clusters. Attend this session to gain valuable insights into how one of the world's leading AI innovators is building a scale-out infrastructure for deep learning, learn architectural best practices, and participate in Q&A with featured panelists from FAIR and NVIDIA.