Watch this BEFORE buying a LAPTOP for Machine Learning and AI π¦Ύ
Published 2021-06-29
What hardware do I need? What should I spend? What do I need to focus on?
Here's the follow-up on how to train machine learning models in the cloud for free:
Β Β Β β’Β accessΒ NvidiaΒ cloudΒ GPUΒ forΒ FREEΒ -Β 3Β ...Β Β
This video discusses the original M1. However, the same logic applies to the Apple M2 Pro and M2 Max, they're just β¨even betterβ¨.
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- blog.tensorflow.org/2020/11/accelerating-tensorfloβ¦
- scikit-learn.org/stable/modules/computing.html
- github.com/apple/tensorflow_macos
- www.tomshardware.com/features/amd-vs-intel-cpus
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β±οΈ Timestamps
00:00 Intro
00:29 Training with a Laptop
00:37 Difference Desktop and Laptop
01:23 The Apple Ecosystem
03:33 Do you even GPU, bro?
04:30 Everything you need to understand about computer hardware
08:49 What type of GPU you need
09:27 Should you even do Deep Learning on a Laptop
11:15 What to prioritize in your Laptop Hardware
12:25 Making it work with a small-ish Laptop
13:02 With a GPU you can try Nvidia RAPIDS cuML
13:47 What else is there to consider?
16:00 So can you train machine learning on your laptop?
17:01 My Recommendation
18:00 Byeeee
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Jesper Dramsch is a participant in the Amazon Services LLC Associates Program, an affiliate advertising program designed to provide a means for us to earn fees by linking to Amazon.com and affiliated sites.
Opinions my own. Not financial advice. Sponsors are acknowledged. For entertainment pu
All Comments (21)
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Here's how you train a model in the cloud for free: https://www.youtube.com/watch?v=Ld8vPbtyJWQ
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Man, this is so so helpful :) Many thanks for patiently covering all the key concepts !
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This channel needs way more subs! The content is high quality / well explained. :)
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Great advice. Because I've been looking for a second machine for my deep learning research. Now, I will switch my strategy from a local machine to the cloud. Thanks.
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You are so very correct. Especially for newer AI developers, long training times are not the norm. We use RTX through H100βs for most of our AI developmentβ at least on the training side. However for coding, data sci work, inference and UI/UX we all use our favorite OS, whichever that is. One thing to keep in mind for pro level large parameter/data set AI dev, you will often be using a dedicated server running in the kilowatts with AI grade TPU/GPUβs (e.g. V100βS, H100βs, etc). Whether owned, hosted or otherwise, few jobs will be run locally.
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Loved this video, Jesper. Thank you!!! Iβm happy I came across your channels
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Thanks a lot for making such a helpful video man.
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Thanks a lot, man! Very useful tips
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I got myself an m1 air a couple of months ago. One thing I dislike is that tensorflow has multiple issues with Mac. It's better to learn about scaling and deploying first, because clouds are always available, rather than throwing a large amount. As for whether it's worth it when you're very advanced in the field, I'll update when I get there π Side note I have a 3070 but I realised model design, preprocessing plays more of a part in ML.
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Just discovered your channel and I'm already a fan of you. I have recently started learning data Science, currently learning python and statistics. Looking forward to your guidance through this channel.
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Thank you You just saved me from getting broke π I was thinking of getting a pc but confused on what graphics card to get
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Thank you for this. I'm interested in ML for advancement in my career and your explanation is helpful.
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Excellent information!
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So, what is your suggestion for a person who is planing to get a laptop for ML/DL workloads?
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Should I consider buying a normal Laptop with Intel Iris Xe if i work in AI , ML, DL or some gaming laptops Nvdia RTX , GTX gpus ? Btw I am a non gamer
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That was really helpful. Many thanks
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hello, I really loved your video, I have a question, I am a computer sciences master degree student and I am taking courses like machine learning, deep learning and artificial intelligent, do you recommend the macbook air M1 or should I go for a pro or promax? I need it for my studies. thank you very much for your help.
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Very helpful! Thank you so much.
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Very very helpful π. Thanks alot .
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So for a windows user the lenovo ideapad 5 would be a perfect option you think?