Paperspace Reviews

I ordered some items like clothes on January 2 2023 but up till now I haven't received any of my orders. I have also requested for my refund still yet no response. Please i want my refund as soon as possible thanks

As a computer science student specializing in machine learning, paperspace gradient seems like the ideal service to train and build ML models in the cloud. However, this service somehow manages to drop the ball on nearly every imaginable front.

First off, user accounts. You can't remove your credit card data from your account, only replace it. You can also not delete your account from the interface which is a bit frustrating. So is my card data just there in perpetuity? Other reviews already say enough about the random hidden pricing (i.e., how you pay them monthly for the privilege of being able to pay them more money to get a GPU), so I won't go too into detail on that. I will say that they added force-stop limits to notebooks so there's that I guess.

The product has really mostly evolved backwards. They added all this random stuff like automatic model deployment and dataset versioning which just doesn't work. I've never, not once, been able to successfully upload a dataset using their dataset system. Not in 2021, not now. Doesn't work via CLI, doesn't work via the web UI. The actually useful cross-notebook persistent storage feature on the other hand is still hidden deep in the docs and has no CLI OR web UI upload. Thanks I guess.

And what's up with the CLI anyway? You don't have to try and be the next AWS. Just have a functioning web interface. I know CLIs are cool and all that but the web UI barely works as is.

The main gradient product still hardly works perfectly, with notebooks sometimes randomly crashing or browser tabs freezing. And unlike in 2020/2021, now most of the time almost all the free GPUs are occupied anyway, kinda defeating the purpose of having them to begin with.

Also I thought it was kinda funny that back in 2020 they spammed me with about 30 e-mails asking me about my experience and if I wanted to have a video chat with the dev team about my experience. These emails abruptly stopped after I said I'd do it for a free month of gradient pro. I guess 8$ is where they draw the line for customer interaction. Fair enough lol.

Anyway long rant for me to say, I wish this product just worked. If I could just upload my damn dataset to a persistent storage that works (without having to pay more to put up an S3 container), and have a jupyter notebook with a GPU spun up in a few minutes, I'd rate this thing 7 stars. Instead it's just an exercise in frustration everytime I try to deal with it and I'm left hoping Google Colab eventually evolves past GPU roulette.

Trying to buy their pro plan, my card was declined. Why? They forget to hide error logs, turns out they try to charge me 1000$ directly to Strapi instead of 8$. freaking mad scam.

Paperspace has been a lifesaver for my work. I often have to train multiple machine learning algorithms, and if the supercomputer my company uses goes down, I know I can count on Paperspace to provide an easy-to-use and readily available service to keep my work going.

I’m relatively light user as research assistant tools.
Now, I subscribe “Pro”plan; middle class plan.It offers GPU that better than Free plan’s.
So far I’m satisfied with this plan and the service.
But I have a claim the utility, it is the number of notebooks that can be run same time.
Paperspace offers Pro Plan can run 3 notebook simultaneously but I can run only 1 notebook somehow.

The service is really good. It has jupyter notebooks with high powered machines that are available at good prices, or even the free machines that come with paying a small monthly fee.

Paperspace is hands down the best cloud GPU platform for ML students like myself. It powered through 3 personal projects of mine with unlimited GPU time limits for just $8 per month.
I'll keep using Paperspace unless their pricing changes a ridiculous amount.

I'm a data science student and first-steps researcher. I ran into paperspace because I needed decent computing power for proper pricing. I tried all cloud computing solutions, but they were expensive for small to mid-size solutions. Some of the cheapest/free ones have very restricted limitations, and I couldn't implement any DL advanced model or architecture because I ran out of RAM very quickly. With paperspace you don't have to worry about that. It offers very fair pricing for what you get in exchange, you can also deploy models, and you don't depend on building any formal API on any other hosting service. It's an all-at-once for researchers or professionals. Its gradient UI is very intuitive and informative, for it displays metrics about energy and memory consumption of your hardware resources to efficiently track your model's performance or any application you are running in this environment. Its pro version offers a great variety of GPUs, and you can have access to powerful ones for only $8 a month.
I highly recommend paperspace as a default machine learning platform for anyone wanting to deep dive into deep learning or use machine learning professionally.

I'm no ML or Data scientist - I work in Media - but, for my purposes, Paperspace has been amazing. No issues whatsoever with uptime or power, and the desktop streaming is extremely smooth with surprisingly little lag. Lots of options to build an ideal setup, all the familiar features I'd expect, some extras I didn't know I wanted and reliable data centers on both U.S coasts and in Europe.

Customer Support and Customer Success are both extremely responsive and diligent. I've had great interactions with them so far and even have access to their experts to help me dial in my setup for my specific needs.

A lot of reviews mention billing and overages; I'm a CORE user, so I'm not sure how it works on the Gradient side (each account has access to both), but there are options to set a time limit for the machines so they shut down after a set amount of hours. It hasn't betrayed me yet.

There's also a global compute limit setting, so you can dial in a maximum spend and a spend amount that will trigger an alert before you hit your max. I don't know if these are new features, but suffice it to say you can absolutely set guardrails to avoid a shock on your invoice.

I use my machines A LOT, and I've never felt compelled to set up a compute limit. Your mileage may vary, and I'm sure you could find something cheaper out there, but for the combination of quality and usability, Paperspace is a fantastic choice.

Last note: Paperspace appears to be evolving every day, so a lot of the reviews I've seen raise issues that have since been addressed. My experience has been that Paperspace focuses heavily on usability and moves to enhance the product as fast as I've seen any other solution.

Pro: Fast, and easy to use.

Con:

1. Paperspace should come with a technical solution so that I would not need to install the same package again and again before using it. Otherwise, it will cost me time and paperspace electricity...

2. For the hourly-charging machines, please send reminders to the on-going users so that they would not forget to turn off it after use. I personally, receive a 50$ bill from paperspace just for forgetting to turn off one...

I have been using paperspace to access fastai textbook and i use the jupyter notebook to run the fastai codes. So far it's been a great experience. I've had no issues and everything's smooth.

Their interface is clean and straightforward. They have lots of helpful videos to get started on a project. They host the fast.ai book a lot better than Google colab. That said, they don't have an option to create a project without defining some project style (e.g. fast.ai, R, visual analytics, etc.) that pre-populates some code into the project container.

I have been using Papersapce for more than 6 months and have mixed expressions about product and services. Initially been using free plan which is good, you will get a K80 GPU and 5GB storage which is okay no issues from this. Later I upgraded to Pro plan which is about $8 a month they will give you access to much larger GPUs(RTX4000, RTX5000, P5000 etc) and 15GB storage. So far so good, later a month when I check my bill its about $35 and continuously increasing every month. I have not seen the bills until the fourth month by then I have lost more than $130 which is ridiculously high for the services they provide. The difference in the bill is due to excess storage usage(15GB limit given for Pro plan). I have used about more than 50GB easily. The thing I don't like is I should be informed about the excess storage through email, notification without directly billing my card(I am student). Only thing I expect is better informed notifications before giving access directly and charging directly without informing the customer. Especially their customer service is very good, they will reply in real time.

Great service with great support team.
I had some problems with my machine and they fixed the problem quick and gave me server credit for the lost hours. Very great service, looking forward to hosting more VMs on there.

The service is OK, but there is hidden prices, and their billing system is buggy... If I'd known I would have selected another option from the start, so I wasted not only my money but also my time.

Edit: the customer service just came back to me about the higher-than-expected charges, but wasn't able to break down the total I was charged into a documented price list. So it seems even them don't really now how the fees are calculated. Nice to have somebody to talk to though, even if useless.