Summary of When M1 DESTROYS a RTX card for Machine Learning | MacBook Pro vs Dell XPS 15

00:00:00 - 00:05:00

The author discusses the differences between dedicated graphics cards for machine learning, laptop vs desktop machines, and Apple vs non-Apple silicon dedicated graphics cards. He runs three different machine learning tests on three different dedicated graphics cards and the results show that the dedicated graphics cards are not that much different than the CPU in terms of performance. The author concludes that the new Apple silicon machines are better suited for machine learning than older laptops with discrete graphics cards.

• 00:00:00 The author discusses the differences between dedicated graphics cards for machine learning, laptop vs desktop machines, and Apple vs non-Apple silicon dedicated graphics cards. The author runs three different machine learning tests on three different dedicated graphics cards, and the results show that the dedicated graphics cards are not that much different than the CPU in terms of performance.
• 00:05:00 The author discusses how the new Apple silicon machines are better suited for machine learning than older laptops with discrete graphics cards, and how the lack of memory on some laptops can limit the performance of certain algorithms. He then shows how the new M1max machine is still using the graphics card even though the test is already completed, and how the machine is cooled and cooled well despite the high amount of memory in use.