Explore distributed multi-GPU computing using Dask, CuPy, and RAPIDS in this EuroPython 2019 conference talk. Discover how recent developments in NumPy community standards and protocols have simplified the integration of distributed and GPU computing libraries. Learn about GPU-accelerated clustering, the RAPIDS ecosystem for end-to-end GPU-accelerated data science, and the benefits of the Apache Arrow format. Dive into practical examples of distributed computing with Dask, including SVD benchmarks and scaling up with RAPIDS. Gain insights into the challenges of communication in distributed systems and explore the roadmap towards version 1.0 of these technologies. Enhance your understanding of high-performance computing techniques for data science applications.