Learn to use a CUDA GPU to dramatically speed up code in Python.
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...
Book: https://paiml.com/docs/home/books/clo... 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/specializati...
O'Reilly Book: Practical MLOps: https://www.amazon.com/Practical-MLOp...
O'Reilly Book: Python for DevOps: https://www.amazon.com/gp/product/B08...
Pragmatic AI: An Introduction to Cloud-based Machine Learning: https://www.amazon.com/gp/product/B07...
Pragmatic AI Labs Book: Python Command-Line Tools: https://www.amazon.com/gp/product/B08...
Pragmatic AI Labs Book: Cloud Computing for Data Analysis: https://www.amazon.com/gp/product/B09...
Pragmatic AI Book: Minimal Python: https://www.amazon.com/gp/product/B08...
Pragmatic AI Book: Testing in Python: https://www.amazon.com/gp/product/B08...
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