On 16 February 2017 at 10:00, DVD PS <[email protected]> wrote:
> we won't deploy it till we have some understanding of how many we can > handle I don't know of any tools to help you with this, unfortunately. Running the notebook servers takes ~40MB memory per user, and each Python kernel started is another ~30MB before loading any libraries. But resource use will often be dominated by what code users are running inside their notebooks. Thomas -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/CAOvn4qgxVXwS97MUQXxRQ8FioJh_DmjOTtcX9-KottgLmkVfJw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
