Скачать или смотреть Install NVIDIA Rapids On Windows 10 | TUTORIAL

A step-by-step tutorial for installing Nvidia Rapids on Windows 10 and Windows 11.

This video will explain how to:
1:33 Sign Up To Windows Insider Program
2:32 Enable CPU Virtualisation & TPM
3:24 Force-enable Developer Channel
4:04 Install Windows 11
4:49 Install the latest NVIDIA CUDA on WSL Driver
5:43 Install Linux Ubuntu 18.04
6:24 Install Miniconda
7:30 Install NVIDIA Rapids
8:09 Run NVIDIA Rapids with Jupyter Notebook
8:45 Copy Files from Windows to Ubuntu

This video follows the exact same installation steps in the video from the official NVIDIA Developers YouTube channel called “RAPIDS on Microsoft Windows 10 using WSL 2” and you should check that out:
   • RAPIDS on Microsoft Windows 10 using WSL 2  

The only thing is, when they made their video, the latest Developer version of Windows was Windows 10 which made installation straightforward.
But now that the latest Developer version is Windows 11, there’s a couple of extra steps you’ll need to do which this video will cover.

Nvidia Rapids is a data science framework for accelerating data science pipelines with an NVIDIA GPU (requires Pascal, Turing, Ampere, or better). It uses Python syntax and contains many awesome functions similar to Pandas Dataframes, and Sklearn (SciKit Learn).

Nvidia Rapids uses NVIDIA CUDA GPU memory to accelerate:
✅ Machine Learning
✅ Explatory Data Analysis
✅ Data Cleaning
✅ Data Preparation

By the end of it, you should have the following packages installed:
✅ cuDF
✅ cuML
✅ cuGraph
✅ cuSignal
✅ cuSpatial
✅ cuxfilter

#NvidiaRapids, #NvidiaRapidsWindows #NvidiaRapidsTutorial