Explore GPU-accelerated data science with RAPIDS in this conference talk from ODSC East 2019. Learn how RAPIDS leverages GPUs to accelerate Python-based data science workflows, including libraries like cuDF, cuML, and cuGraph. Discover the platform's integration with Dask and Numba for multi-GPU scaling and JIT compilation of User Defined Functions. Gain insights into RAPIDS' installation methods, interoperability with other libraries and deep learning frameworks, and its impact on large-scale data science problems. Understand the evolution of RAPIDS libraries, upcoming features, and long-term direction for GPU-powered data science.