Is Google CoLab Pro or CoLab Pro+ Worth it in 2023?

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Google Colab free is not what it used to be. Google introduced two new premium plans, as well as a pay as you go plan. For $9.99/month you can get Google Colab Pro and for $49.99/month you can get Google Colab Pro+. These two plans come with 100 and 500 compute units respectively. In this video I look at if these subscriptions might make sense for you.

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#Python #colab #deeplearning #gpu
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Adding to this video: I paid for collab pro and I didn't use my credits during the month then I canceled the pro plan to stop paying for something was not using. The compute credits can be used up to 90 days. I used the copute credits with the T4 GPU for feature extraction then after 1 h runtime the execution was terminated by collab. and my credits were used for nothing. It is frustrating that I am experiencing my paid compute credits in the same way that a free plan experiences.

pedroramon
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Just discovered your channel. I’m going to try out Paperspace as well. Could you also do a video on how you’re managing your experiment results, model training runs or dataset versions?

iknownotwhoiam
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Thanks for this review, man. Really helpful for me

nahuelhds
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With gpu prices a bit more manageable now, it seems like building a system makes a lot more sense with deep learning now that colab is no longer worth it.

stevedevney
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Can anyone tell me what exactly does compute unit actually mean?

musicandhappinessbyjo
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Thank you very much colab pro how much ram available

ahmedprog
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does anyone know how much disk colabs pro plus provide to us?

zicolavladimir
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Thanks for your insight. Please do a follow up video on better alternatives.

JanKrummrey
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I would like to build my own PC with dual RTX 4090 for machine learning, may I ask which motherboard and case you would recommend? I can hardly find a board that can fit two RTX 4090.

kitgary
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Jeff - This is exactly my frustration with Colab right now. Do you happen to know of a source that compares consumer-grade GPUs to purchase for machine learning? I'm thinking of just buying an Nvidia or AMD GPU to run locally, but all benchmarking sites focus on gaming performance, which may or may not be similar to machine learning.

mloewen
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Paperspace subscription is quite good, cost 8$ a month and you get to choose the GPU, they also have a free tier

luisramonramirezrodriguez
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thank you, please can you explain, what computer units means? its said you have 1300 unites, and for example if I purchase 100 unites, how long can I use that .. lets say I spend 5hr a day to work with Stable Diff.

Comic_Book_Creator
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How much intense we can run in Google colab pro+ in one time

samesamue
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I'm subscribed to Colab Pro, not Colab Pro+. I get A100-40GB all the time too. Does anyone get any higher? I actually need more VRAM for some heavy deep-learning training.

nullbeyondo
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Hi Jeff. How did you get the Googl Colab Runtime type to offer "Python 3.9 (tensorflow)"?

I'm trying to get Tensforflow 2.9 with Python 3.8 and am facing challenges. It just defaults to Python3.10 (latest)

cainnhemachena
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I have one question, which one is better collab pro + Services or buy NVIDA RTX 3060 for Research purspose

MOHSINALI-bkqo
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I am experimenting Colab Pro+ for CV and object identification training and inferencing. I have found loading images from my Google Drive really slows down the training. Is there a way to speed up the image loading process?

kdlin
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Im trying to export 5100 frames 2/3 times a week, do you think Colab pro will work?

xtoronto
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I had 3 Colab Pro+, but dropped all three after their pricing change. Just wasn’t worth it any more. Paperspace gave more bang.

fastrocket
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when you are subscribed as pro+ can you use a non-GPU runtime and leave it in the background (for example for a long gridsearch for a randomforest) and will it not consume your compute units?

mpfmax