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pankajkumar229

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Disclaimer: I am one of the founders of DataCabinet.

We built an online service on top of Jupyter which takes away the effort of handling JupyterHub. It would be great if we could hear some feedback in the context of this conversation. We feel that DataCabinet is better in ways because it provides: a. Autoscaling according to number of users b. Sharing full containers easily between people. You can install pip/conda binaries and share with students/users. c. Shared storage so nbgrader works seamlessly. Here is a full comparison: https://datacabinet.info/pricing.html

Please excuse our landing page, it just got created today and we are fixing it.

We built the exact same technology at Agawi(http://arstechnica.com/gaming/2012/09/report-cable-companies...). The only difference was that we did not have the parker API. We worked very closely with Microsoft and NVidia to make it work back then with full headless Windows GPU servers. H264 encoding both in GPU and CPU. We could have reduced latency by distributing the servers but we did not get to the stage of distributing GPU cloud back then. But the business never took off. I was not on the business side so I cannot tell exactly why. Probably latency but there are 3D strategy type games that you could stream. If you need, I can ask the business head of our team and he can elaborate.