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We should really thank Mathematica for the notebook format.
Did mathematica invent the notebook format? Just curious..
I've been using Colab for over a year now. I train deep learning models on NLP and medical imaging datasets. It's a great tool and it lets you focus on the code and the models, instead of the hardware and OS. But $9.99/month is a little expensive for my taste. You can't customize it and if they change something you have to install software by hand sometimes. It should be $1.99/month, that's the kind of price I'd pay…
Can anyone see a reason why they wouldn’t just allow you to provision (and pay for) a persistent Google Cloud VM instead? (I currently do that manually and need port forwarding to a machine that runs Jupyter.) It’s hard for me to understand why Colab would build such a vague pro tier instead of the simplest possible solution: let me pay for my compute. There’s so much more potential, too; they could offer whole clust…
As far as utility for research, as a researcher, I _already have_ several local GPUs at my disposal, and I only use notebooks to kick the tires on things and visualize. The moment something starts to look like it's useful, I move it to a real *.py file where it's more maintainable and diffable.
Edit: actually I now think I know who this is geared towards. It's geared towards people who aren't going to really use it, and don't mind to pay $120/yr (+tax) for something they don't use. Which, IMO, is pretty smart.
Just wanted to share a Colab alternative I work on called Gradient[0] (also includes a free GPU). Some of the key differences: - Faster storage. Colab uses Google Drive which is convenient to use but very slow. For example, training datasets often contain a large amount of small files (eg 50k images in the sample TensorFlow and PyTorch datasets). Colab will start to crawl when it tries to ingest these files which is…
I've been using Colab for over a year now. I train deep learning models on NLP and medical imaging datasets. It's a great tool and it lets you focus on the code and the models, instead of the hardware and OS. But $9.99/month is a little expensive for my taste. You can't customize it and if they change something you have to install software by hand sometimes. It should be $1.99/month, that's the kind of price I'd pay…
I mean when modern GPUs are $1000 I'm curious how you think $9.99 is too much.
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Disclosure: I work on Google Cloud. Sorry about that. We (I) had screwed up and allowed users to smash themselves into the wall of "Huh, you keep getting preempted, but there's technically a slot right here". We've re-enabled some backpressure to keep you from getting hit over and over again, and instead see a stockout error when you should probably try another (less full) zone.
Hey, neat! Thanks for your work. I was hoping that this was the case, and I haven't tried since September. But I'll give it another shot now.
Can anyone see a reason why they wouldn’t just allow you to provision (and pay for) a persistent Google Cloud VM instead? (I currently do that manually and need port forwarding to a machine that runs Jupyter.) It’s hard for me to understand why Colab would build such a vague pro tier instead of the simplest possible solution: let me pay for my compute. There’s so much more potential, too; they could offer whole clust…
This is not cheap though. A V100 runs you over $1.5k a month if you don't turn it off.
Colab is the best notebook I've ever used. It is a real game-changer and I can totally understand why people who use daily would pay for it.
We should really thank Mathematica for the notebook format.