Joshua Patterson, NVIDIA
We'll explore how RAPIDS, the end to end open-source data science accelerator from NVIDIA, and the open-source ecosystem are advancing data science. You'll learn how to start leveraging RAPIDS and the libraries it interacts with for faster performance and easier development on GPUs. We'll focus on the latest engineering work, current benchmarks, new release features, and the future road map. See how RAPIDS works with leading OSS tools like BlazingSQL, Dask, MLFlow, Optuna, Streamz, UCX, Xfeat, and others to deliver high-performance end-to-end data science on GPUs.