MacBook M1 for Machine Learning

Apple’s new M1 chipset offers a powerful processor for every task. It has the most advanced neural engine which offers up to 11 times better performance for machine learning compared to the older MacBooks. So, is the new MacBook M1 best for machine learning? Which one to choose between the MacBook Air and the Pro? In this article, I’ll answer all the questions that will help you decide whether to buy a MacBook M1 for machine learning.

Should You Buy MacBook M1 for Machine Learning?

The M1 chipset offers many possibilities to develop heavy machine learning models at a faster speed. If you are already familiar with machine learning and have worked on heavy projects like training a neural network for named entity recognition or identifying a person in an image, you should know how much time it takes to create such models.

Training such models takes a lot of time because we have to train these models on a large amount of data. Since we don’t get faster performance for processing a large amount of data, so we can’t see the model training faster. But the MacBook M1 can process a large amount of data at lightning speed.

The 16-core neural engine that we find in the M1 chipset can perform up to 11 trillion operations per second, which can provide you with faster performance in training heavy machine learning models. Machine learning is one of those tasks that require high computing power and faster processing speed. So yes, you should buy a MacBook M1 for machine learning because its CPU, GPU, and Neural engine are very well optimized for heavy machine learning tasks.

MacBook Air Vs Pro for Machine Learning

MacBook Air and Pro offer almost the same functionality for machine learning and for all other types of tasks that require high computing power. So it doesn’t matter which MacBook you choose. The only difference between the two systems is their charging speed and battery life. MacBook Air supports lower battery life than MacBook Pro, and MacBook Pro supports fast charging where MacBook Air lacks.

Summary

So the new Apple’s M1 chipset is fully optimized for machine learning developers. You can buy any MacBook between Air and Pro. They are so good for machine learning that even the base variant will give you a performance that you may have never experienced before. I hope you liked this article on MacBook M1 for machine learning. Feel free to ask your valuable questions in the comments section below.

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Aman Kharwal

Coder with the ♥️ of a Writer || Data Scientist | Solopreneur | Founder

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