Learn to use a CUDA GPU to dramatically speed up code in Python.

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United States Pragmatic AI Labs
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17,700
Published on ● Video Link: https://www.youtube.com/watch?v=JdAuPdtyRfo


Duration: 9:05
614 views
13

00:00 Start of Video
00:16 End of Moore's Law
01: 15 What is a TPU and ASIC
02:25 How a GPU works
03:05 Enabling GPU in Colab Notebook
04:16 Using Python Numba
05:40 Building Mandlebrots with and without GPU and Numba
07:49 CUDA Vectorize Functions
08:27 Copy Data to GPU Memory

Tutorial: https://noahgift.github.io/cloud-data-analysis-at-scale/topics/end-of-moores-law.html

Book: https://paiml.com/docs/home/books/cloud-computing-for-data/ If you enjoyed this video, here are additional resources to look at:

Coursera + Duke Specialization: Building Cloud Computing Solutions at Scale Specialization: https://www.coursera.org/specializations/building-cloud-computing-solutions-at-scale

O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOps-Operationalizing-Machine-Learning/dp/1098103017

O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B082P97LDW/

Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07FB8F8QP/

Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B0855FSFYZ

Pragmatic AI Labs Book: Cloud Computing for Data Analysis: https://www.amazon.com/gp/product/B0992BN7W8


Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B0855NSRR7

Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B0855NSRR7

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