Hosted at CIC Miami and OPEN TO ALL.
If you're not attending the conference sign up for this meetup at https://www.meetup.com/Miami-Machine-Learning-Meetup/events/257719658/
Folks from NVIDIA will talk about their RAPIDS suite of open source software libraries for building data science and analytics pipelines entirely on graphics cards. RAPIDS relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes.