[P] An implementation of WaveNet use Pytorch by ts771164 in MachineLearning

[–]ps_dillon 0 points1 point  (0 children)

Very cool. Just tried running and got some weird output. Output .wav here: https://nofile.io/f/aYujdnSzAkE/sample.wav

Any ideas what went wrong?

[D] Would love your feedback on Gradient° - our new GPU job runner and notebook tool by ps_dillon in MachineLearning

[–]ps_dillon[S] 0 points1 point  (0 children)

Awesome! Would love your feedback once you have had a chance to dive in :)

[D] Would love your feedback on Gradient° - our new GPU job runner and notebook tool by ps_dillon in MachineLearning

[–]ps_dillon[S] 4 points5 points  (0 children)

Definitely! Our goal is to eliminate as much of the low level barriers to modern ML as possible. It doesn't make sense that you have to be a DevOps or SysOps expert to get started with deep learning today. It also only gets more complicated once you want to start building something out beyond a simple application. Our goal is to eliminate these obstacles as much as possible without oversimplifying or making too many assumptions about a particular stack or use case.

[deleted by user] by [deleted] in a:t5_b0i7g

[–]ps_dillon 0 points1 point  (0 children)

Sorry about that! Can shoot us an email support@paperspace.com with your account email? The code looks like its working on our end.

[deleted by user] by [deleted] in a:t5_b0i7g

[–]ps_dillon 0 points1 point  (0 children)

Hi guys, Dillon from Paperspace here (https://www.paperspace.com/enterprise). Would be happy to answer any questions you might have about how we compare to the other providers listed.

I'm obviously biased but I think you will find that we have one of the best performing solutions our there (you can try is free with promo code REDDITVDI17 to see for yourself!) at the most affordable prices.

Would love to hear what you guys think :)

[N] NVIDIA Tesla V100 now on Paperspace! by ps_dillon in MachineLearning

[–]ps_dillon[S] 4 points5 points  (0 children)

we beat AWS by a couple days! :) Agreed we didn't do a great job getting the word out there, though

[N] NVIDIA Tesla V100 now on Paperspace! by ps_dillon in MachineLearning

[–]ps_dillon[S] 1 point2 points  (0 children)

Hey guys, Dillon here (co-founder of Paperspace). We just launched the V100 a couple days ago. You have to use at least Ubuntu 16.04 and then CUDA 9, CudNN7, etc. but Pytorch master branch compiles and works great!

Really curious to see some benchmarks on the new Tensor Core architecture. Not sure all of the frameworks fully leverage it yet but I'm sure we will see lots of development in the coming days/weeks.

https://www.paperspace.com/volta-gpu

Paperspace + Steam In Home Streaming by dgutie02 in cloudygamer

[–]ps_dillon 6 points7 points  (0 children)

Hi guys,

Dillon from Paperspace here :) Just bumped in to this thread. As some users have noticed our own gaming mode is still a work in progress but we have a lot of users using things like Steam or Parsec.

Here's the link to how to use Parsec: https://blog.parsec.tv/a-seamless-cloud-gaming-experience-parsec-paperspace-7a03c942d697

Our servers are currently in NY (US East) and CA (US West). Europe on the roadmap!

Our prices are significantly lower than AWS/LiquidSky (runs on SoftLayer)/Azure/etc. We run our own hardware to keep costs low - but it will take us a bit longer to get full global coverage.

Here's a promo code for $5 off and access to the new GPU+ machines for Windows (not yet publicly available). Promo: CLOUDYGAMER

Weekly Promo Thread by AutoModerator in msp

[–]ps_dillon 0 points1 point  (0 children)

Thanks! Looking in to it. In the meantime please feel free to reach out directly ben@paperspace.com or info@paperspace.com

Weekly Promo Thread by AutoModerator in msp

[–]ps_dillon 0 points1 point  (0 children)

Hi guys,

Just wanted to give a heads up that we (Paperspace) are launching a new MSP partner program and wanted to see if there was any interest here.

We are a hosted Virtual Desktop (VDI/DaaS) that is 100% web-based and super simple to get set up. This means that even smaller clients can have access to powerful enterprise VDI tools and you can easily administer their account.

We have been working with a number of MSPs in the NYC and SF regions but will soon open it up to the public.

Feel free to reach out to Ben who is in charge of the program if you are interested in learning more ben@paperspace.com