Can not connect to Jupyer notebook running in container of host machine from Remote machine

Accelerated Computing NGC GPU Cloud
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1

I am following this Link

I have host machine with GPU Tesla K10 on which I am performing commands in the links. I ran the docker in this machine.

I am remotely accessing this host machine from my laptop.

Problem: When I run the command :
docker run --gpus all -it -v “/path/to/dir/on/host”:“/path/to/dir/in/docker” -p 80:8888 nvcr.io/nvidia/tlt-streamanalytics:v2.0_py3 /bin/bash

I get below error:
Resolving ngc.nvidia.com (ngc.nvidia.com)… failed: Temporary failure in name resolution.
wget: unable to resolve host address ‘ngc.nvidia.com’

Using mount folder I moved folder “gtcfallngcdemo:1.0.0” to docker workspace.

I started Jupyer notebook using command:
jupyter notebook --ip 0.0.0.0 --port 8888 --allow-root

But I can not access this notebook from remote machine which is my laptop. I use IP of host machine (not docker) in my laptop browser to access notebook. GPU machine with Docker running and my Laptop are in same local network.

Please help.

Mitesh

2

Hi @miteshp.patel, thank you for your question!

Looks like you have two issues here -

  1. Running the TLT container:
    Can you please share a screenshot of the error you’re receiving? Docker containers would ideally not run into a wget error - this might be an error when you’re trying to pull the resource with the command
ngc registry resource download-version "nvidia/gtcfallngcdemo:1.0.0"
  1. Accessing the Jupyter notebook:
    You may need to configure port forwarding from your host machine in order to be able to access Jupyter notebooks running on it from a web browser on your laptop.

Please refer to articles such as this for more guidance on how to configure port forwarding.

3

Hey. Thanks for your reply.

I was doing right everything. Only problem was I was accessing jupyter notebook with “hostIP:8888” which is wrong.

I tried with hostIP:80 and it worked. I searched for exact notation 80:8888.

Thanks.