Erase the Waiting Hassle with RAPIDS GPU Acceleration
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RAPIDS is a suite of open-source software libraries that allows users to execute end-to-end data science and analytics pipelines on GPUs. It includes libraries like cudf, cupy, and cuml that are analogous to popular Python data science libraries like pandas, numpy, and scikit-learn, but are optimized to run calculations on GPUs. This allows for faster performance for large-scale tasks like big data, machine learning, and image processing compared to CPUs.
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Erase the Waiting Hassle with RAPIDS GPU Acceleration
- 1. Erase the Waiting Hassle -by Andrada Olteanu-
- 2. What is RAPIDS? About RAPIDS: https://rapids.ai/about.html Suite of open-source software libraries
- 3. What is RAPIDS? About RAPIDS: https://rapids.ai/about.html Suite of open-source software libraries Execute end-to-end DS and analytics pipelines
- 4. What is RAPIDS? About RAPIDS: https://rapids.ai/about.html Suite of open-source software libraries Execute end-to-end DS and analytics pipelines On GPUs
- 5. What is RAPIDS? About RAPIDS: https://rapids.ai/about.html Suite of open-source software libraries Execute end-to-end DS and analytics pipelines On GPUs Development follows a 6-week release schedule
- 6. Why use GPU instead of CPU? NVIDIA DGX GPU (deep learning) About RAPIDS: https://rapids.ai/about.html
- 7. Why use GPU instead of CPU? https://medium.com/altumea/gpu-vs-cpu-computing-what-to-choose-a9788a2370c4#:~:text=Modern%20GPUs%20provide%20superior%20processing,learning%20and%20big%20data%20analysis.
- 8. Why use GPU instead of CPU? Less cores: 1 task per job *+- calculation https://medium.com/altumea/gpu-vs-cpu-computing-what-to-choose-a9788a2370c4#:~:text=Modern%20GPUs%20provide%20superior%20processing,learning%20and%20big%20data%20analysis.
- 9. Why use GPU instead of CPU? Less cores: 1 task per job *+- calculation More cores: Multiple tasks per job *matrix calculation https://medium.com/altumea/gpu-vs-cpu-computing-what-to-choose-a9788a2370c4#:~:text=Modern%20GPUs%20provide%20superior%20processing,learning%20and%20big%20data%20analysis.
- 10. Why use GPU instead of CPU? pandas numpy scikit-learn uses only 1 CPU core unit
- 11. Why use GPU instead of CPU? pandas numpy scikit-learn uses only 1 CPU core unit cudf cupy cuml uses GPU ;) VS
- 12. Why use GPU instead of CPU? pandas numpy scikit-learn uses only 1 CPU core unit cudf cupy cuml uses GPU ;) VS
- 13. When use GPU? * GPU doesn’t replace CPU
- 14. When use GPU? * GPU doesn’t replace CPU
- 15. When use GPU? * GPU doesn’t replace CPU Big Data
- 16. When use GPU? * GPU doesn’t replace CPU Big Data Machine Learning
- 17. When use GPU? * GPU doesn’t replace CPU Big Data Machine Learning Image Processing
- 18. Specs 👀 Get starter with RAPIDS: https://rapids.ai/start.html Install and use RAPIDS on Windows: https://andradaolteanu.medium.com/how-to-install-and-use-rapids-on-your-windows-workstation-a31af966ef62
- 19. Specs 👀 WSL2 *for Windows users only Get starter with RAPIDS: https://rapids.ai/start.html Install and use RAPIDS on Windows: https://andradaolteanu.medium.com/how-to-install-and-use-rapids-on-your-windows-workstation-a31af966ef62
- 20. Jupyter Notebook Lovers 💜 Get starter with RAPIDS: https://rapids.ai/start.html Install and use RAPIDS on Windows: https://andradaolteanu.medium.com/how-to-install-and-use-rapids-on-your-windows-workstation-a31af966ef62
- 21. Use GPU online &
- 22. Use GPU online &
- 25. @andradaolteanuu @Andrada Olteanu @andradaolteanuu Happy Data Sciencin’!