PaperspaceReviews of paperspace.com

Great for vr game streming like steam vr or ocululs rift games ,easy to use,inexpensive,easy to customise Great company too with great support,responds whithin couple of hours😊the most important thing it works!!😊 They have a variety of virtual cloud gaming pc plans (core)staring from $0.45-$1.20 an hour(aprox)+ storage$7-$10 monthly) and optional extras like snaphots,assigning a public ip adress,creating templates etc,i find the p5000 plan suficiant for my needs Very pleased,would recomend to a friend😊 Latency is good as well(most of the time)

Recently, I was looking for a solution that allow me to work from anywhere I want on all the projet I used to work. I was needing a cloud desktop. And of course, Paperspae was the solution I needed. You can pay monthly, but you can pay only for what you use (hourly plans) ! Perfect ! I need to work, boot, I don't, shutdown. No loss of money. And you know what ? I don't loss my time too because Paperspace offer are strong and not low cost ! No stuttering, lag, or any kind of issue. Smooth is the term! A lot of option are included, it's adaptive! Your machine is slow? Upgrade! Too much powerfull for what you do ? Downgrade ! More space ? Add disk space ? Need a public IP ? Buy one for 3 bucks and assign it to your VM ! Last but not least, security. They are certified and you won't loss any data in case of any failure, and they are also protected from thief. This is something important these days. I love you folks, heart on you.

Very reliable and fast-deplayed jupyter notebooks, cheap and easy to use for machine learning, keep it up!

I use Paperspace for gaming mostly. I was able to create a machine very fast, which came with all the launchers one could need for games. Despite not having the fastest internet, I'm able to play and enjoy AAA games with minimum lag. An issue came up, which ended up being completely on my side of things, but the Paperspace staff helped me as best as they could, even during the holiday season. Couldn't be happier with my experience so far !

A friend introduced me to PaperSpace as a cloud gaming alternative to Google Stadia. After signing up, I requested access to an affordable GPU instance suitable for gaming. I was granted access by the next morning and spun up a machine using their gaming template. The template included Steam, the Blizzard client, and lots of other great gaming software. Most importantly Parsec! As a casual gamer, I plan to keep using PaperSpace as it allows access to my Steam games, has no noticeable lag, and is super affordable since I only pay for what I use (apart from a monthly storage fee). My return on investment (time, money, effort) versus buying and maintaining a gaming build is clearly superior. I would highly recommend the service to casual gamers with decent internet connections.

Great if you want to play Windows games on a Mac. Instead of having two computers, now you can run Windows within your Mac without having to use bootcamp. When you run a Steam game and stream it to Steam on you Mac, the frame rate still remained excellent and the sound was amazing

I primarily use my server to stream games that only run on Windows, because I only got a laptop which runs Linux. I got an Windows 10 server with an nvidia P4000 graphics card for about $0.5 per hour the machine is on, plus $5 a month for 50GB of storage. Then I can stream what ever game I want from the server, which is in Amsterdam, to Denmark with about 20-30 ms delay. I've tried to upgrade my server from 50GB to 100GB of storage, and the process was surprisingly easy and it only took 2 min for the upgrade to set in. I find their service intuitive and I really like that I can turn on my server through my phone browser before I need to use it. I've had no problems with my server or their service.

It just works. I was able to get my ML training job on Paperspace VM up-and-running in just a few minutes. Their predefined ML template has everything you need for your training purposes. I didn't use them for production loads or more complicated things like distributed training, but for my straightforward use case it did a great job. I first tried AWS pre-built AMI for DeepLearning, but that one is just a disgrace, doesn't work out of the box, and therefore deservingly has 1.5 star rating on AWS marketplace.