Dev Cloud server spawn Failed unable to connect

[tensorisation]

In the past several weeks I've been working on a project on the Intel Dev Cloud.

Since yesterday, when I try connecting the to server as I did dozens of times in the past, it no longer works and I'm unable to continue my work.

I connect through going to: https://console.cloud.intel.com/training

And clicking on "Launch JupyterLab" button in the top right of the page.

Instead of connecting, I get this error instead:

I was hoping the issue would be resolves on its own, but unfortunately, as of now, the problem still presists, and I cannot connect to the servers.

I've tried using different browsers, "anonymous mode", clearing cache, and even a different computer. Nothing worked. 

What can I do to resolve this so I can continue my work? 

My Cloud Account ID: 581654867422

My JupyterLab ID: u1ac0f5875ac3fb97b35b88ea34e5b24

[Luwe_Intel]

Hi tensorisation,

Thank you for reaching out to us.

We have informed the relevant team about this issue for further investigation and will update you as soon as possible.

Regards,

Luwe

[tensorisation]

It is working again now, thanks

[CinnamonBay]

@Luwe_Intel  Hello, I am having the same issue for over a day, so I've decided to reach out as well, but decided to post in a thread with the same issue to not clog up the forum.

The JupyterHub says that it failed to spawn (see below):

As with the others, I have tried deleting browser cache, different browsers, waiting, and although the node number and port has differed, I have the same issue. My Account ID is 194946713960 and my JupyterLab ID is u9c9cc147b28acf2921858abd7882b6f . Thank you for your attention.

[Luwe_Intel]

Hi @CinnamonBay ,

Thank you for reaching out.

Could you please open a new thread so that we can provide better support for you, Thank you.

Regards,

Luwe

[Luwe_Intel · Accepted solution]

Hi tensorisation,

For your information, your account activity was taking up the entire node's CPU and slowing down other users on the system. As this system is for training purposes and workshops, only one GPU is allocated per user. If your project is taking up the entire system resource, this account may be disabled. For now, we have enabled your account back, but kindly utilize our paid service for your project. Thank you for your understanding.

Regards,

Luwe

[Luwe_Intel]

Hi tensorisation,

This thread will no longer be monitored since this issue has been resolved. If you need any additional information from Intel, please submit a new question.

Regards,

Luwe