#ACCESS INOTEBOOK ON LOCAL WINDOWS DRIVERS#

If your local network connection is slow, the browser will feel slow and unresponsive. These incompatibilities make the remote graphics applications sluggish even on very fast networks. And that's clearly the case here since we want to make use of nvidia GeForce GPUs for deep learning.

#ACCESS INOTEBOOK ON LOCAL WINDOWS DRIVERS#

If local runs macOS, there are incompatibilities between the X11 on deeplearning and the one on the mac, when nvidia drivers are used on deeplearning. This does work because we used ssh with the -X option, which enables X11 forwarding, and thus makes it possible to open graphics application remotely. This opens a browser on deeplearning, and displays the browser window on local. In this situation, what most physicists would do is the following:Ĭonnect from the local to portal with ssh -XĬonnect from the portal to deeplearning with ssh -X That's a fairly typical configuration in research labs and companies. Set c.eredirectfile False in the config file that was just generated. Generate a jupyter notebook config file using jupyter notebook -generate-config. I did this with an export statement in my bashrc. Portal is on the lab network, and is also visible from outside. Set the environment variable BROWSERwslview to make wslview the default Linux browser. This machine is inside the lab network and is not accessible from outside, but I have ssh access to it from inside.

The computers involved are the following:ĭeeplearning is the deep learning station. I only try to find ways to do data science efficiently, and I hope I can help you with that as well.

Therefore, the terminology I'm using may be incorrect. Afterwards, you'll need only a couple seconds to set up the connection with your remote jupyter notebooks.īefore we get started, please keep in mind that I'm just a physicist with limited knowledge of networking. It might take you 10 minutes to set everything up the first time, but it's worth it. Start a jupyter notebook server on this machineĬonnect to this server from a browser running on your local machine to create and use jupyter notebooks In this post, I'd like to show how I proceed to create and use jupyter notebooks on a remote machine.Ĭreate an ssh tunnel to a remote machine behind a firewall Still, quite often, I either don't have time to commute to the lab and just work from home, or I'm at CERN, 200 kms away. Unfortunately, it's behind a firewall and is not directly accessible from outside. It's quite nice, with 20 cores, 64 GB RAM, a large amount of SSD disk space for my data, and most importantly two GeForce GTX 1080 Ti. I've got a linux machine dedicated to deep learning development in my lab.

Access inotebook on local windows