You can use Ubuntu as is and setup server services. I would recommend either having your group execute notebooks that they save to a network share using the Jupiter clip on the machine or setup juoyterhub with an unit wrapper that loads you config when launched
Evan Clark Data Engineer II - Icahn Institute @ Mount Sinai ________________________________ From: [email protected] on behalf of [email protected] Sent: Friday, April 5, 2019 12:10 PM To: Project Jupyter Subject: [jupyter] Nvidia suport within Jupyter HUB Hello all, I have One GPU system within m lab which needs to be shared among multiple users to run their deep learning models, how to set it up , so that multiple users access ti from their own system by running instance of jupyter notebook i have no option to make GPU system as server as ubuntu18.04 server doesnt support GPU card i have ehich is p4000. Step by step help will be appreciated Regards -- 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/635b701d-ceb5-4081-ac70-659991d44989%40googlegroups.com. For more options, visit https://groups.google.com/d/optout. -- 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/SN6PR11MB255989071AF562BE3B3EFA59F9510%40SN6PR11MB2559.namprd11.prod.outlook.com. For more options, visit https://groups.google.com/d/optout.
