Unleash the power of your NVIDIA GPU for blazing-fast data science! This video dives into how to accelerate your data science workflows using RAPIDS and cuDF, drastically reducing processing time for large datasets.

Learn how to seamlessly integrate GPU acceleration with your existing pandas code, without any major changes. We’ll cover: What is GPU acceleration and how it works; an Introduction to RAPIDS and its powerful libraries; Installing RAPIDS locally on your Windows 11 machine with WSL2; Checking CUDA compatibility and updating drivers; Setting up your VS Code environment.

Get ready to witness the incredible speed boost that GPU acceleration can bring to your data science projects! Check out our other helpful videos and resources below. Don’t forget to like, comment, and subscribe to stay updated on all things AI!

Links:
https://github.com/ReallyEasyAI/Nvidia-Gpu-acceleration-For-Data-science
https://developer.nvidia.com/blog/get-started-with-gpu-acceleration-for-data-science/
https://www.geeksforgeeks.org/what-is-gpu-acceleration/
https://rapids.ai/
https://rapids.ai/ecosystem/#software
https://docs.nvidia.com/deploy/cuda-compatibility/index.html
https://developer.nvidia.com/cuda-toolkit
https://www.nvidia.com/en-us/drivers/
https://docs.rapids.ai/deployment/stable/cloud/
https://docs.rapids.ai/install/
https://docs.rapids.ai/install/#system-req
https://www.youtube.com/watch?v=50TM9pfYv5U
https://learn.microsoft.com/en-us/windows/wsl/install
https://docs.rapids.ai/install/#selector

https://shop.reallyeasy.ai
https://www.youtube.com/@AINewsFresh
https://www.youtube.com/@AIPapersPodcastDaily
https://www.youtube.com/@DailyAINewsPodcast

Chapters:
00:00:00 Introduction
00:00:40 Get Started with GPU Acceleration for Data Science (Article)
00:01:43 Assumptions
00:02:23 What is GPU Acceleration?
00:04:46 What is RAPIDS?
00:05:57 Featured RAPIDS Libraries
00:07:00 RAPIDS: cuDF pandas Accelerator Mode
00:08:28 An Ecosystem of Hardware, Software, and Developers
00:09:32 ReallyEasy.AI Merch
00:11:07 Other Channels
00:12:34 Checking Your CUDA Compatibility
00:15:00 Latest NVIDIA Drivers
00:16:20 Demo: NVIDIA Information
00:17:38 Setting Up RAPIDS
00:18:25 RAPIDS Installation Guide
00:20:55 Installing Anaconda and VS Code
00:22:16 Installing WSL2
00:22:44 Upgrading WSL2
00:23:54 Getting into WSL2
00:25:04 Demo: Installing Conda
00:27:57 Installing RAPIDS
00:28:29 Activating the Conda Environment
00:30:34 Demo: Installing RAPIDS
00:33:37 Setting Up VS Code
00:34:04 Remote Development Extension
00:37:51 Demo: Connecting to WSL2 from VS Code
00:41:19 Jupyter Notebook Extension
00:41:42 Other Extensions
00:42:46 Navigating in WSL2 with VS Code
00:43:45 Copying Over the Files
00:44:49 Demo: Copying Files & Running the Code

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