They're shared across users. What's reported by the system isn't accurate, as you get 1/64 of available RAM and CPUs. I'm thinking about how to allow for giving users extra capacity when there aren't many users. https://github.com/jupyter/tmpnb/issues/107
Note: https://github.com/jupyter/docker-demo-images now has the demo image that uses this. If you look in the notebooks directory, I put together a Julia notebook (stealing freely from the Gadfly documentation). I'd LOVE to get a really good Julia notebook in there instead, as I've been focused on the backend pieces. The same software was used for the Nature demo. On Saturday, November 8, 2014 11:19:49 PM UTC-6, Viral Shah wrote: > > Those are some pretty beefy machines! Are those shared across multiple > users, or does every user get a monster? :-) > > -viral > > On Sunday, November 9, 2014 10:05:49 AM UTC+5:30, cdm wrote: >> >> >> point a browser to >> >> https://tmpnb.org/ >> >> >> click the "New Notebook" button >> in the upper right area of the page. >> >> use the drop down menu in the >> upper right to change the kernel >> from "Python" to "Julia" ... >> >> run some Julia code, like >> >> Base.banner() >> >> just remember the notebook >> convention of Shift-Enter to >> evaluate ... >> >> nice. >> >> cdm >> >
