05:51
Visualizing Census Data with RAPIDS cuDF and Plotly Dash
22:04
GPU Accelerated Single Cell RNA with RAPIDS and Clara-Parabricks | KDD 2020 | Corey Nolet
26:13
Hyperparameter Optimization (HPO) with RAPIDS on AWS Sagemaker
16:40
Hyperparameter Optimization (HPO) with RAPIDS on Microsoft AzureML and NVIDIA GPUs
04:11
ISBM 2020 - GPU Accelerated Interactive Single Cell Analysis
56:59
State of RAPIDS: Bridging the GPU Data Science Ecosystem | GTC Digital 2020
08:47
Introduction to XGBoost
10:48
Introduction to RAPIDS
12:51
Introduction to Dask XGBoost
02:04
Accelerated with RAPIDS: Walmart uses RAPIDS to help develop better retail forecasting
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About
Welcome to the official RAPIDS YouTube channel.
RAPIDS is a free, open source data science acceleration platform for executing end-to-end data analytics and machine learning pipelines entirely on GPUs. Licensed under Apache 2.0 and incubated by NVIDIA®, RAPIDS utilizes NVIDIA CUDA® primitives for low-level compute optimization, while exposing GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.
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