The kernel dies in cell 11 and never restarts.
I tried to set the environment variable to a bigger size as recommended in the various threads but I get a permission error.
Please let me know how I can set the environment variable so I don’t get the timeout error
Hi Neil! Can you post a screenshot of the error messages you’re getting, especially the permission error when selecting ml.m5.2xlarge? Also, please show that you have indeed selected ml.m5.2xlarge as the instance type when you get that. We can send it to the dev team if there is a bug. I can’t reproduce this issue from my end so far. Maybe you can try selecting a different instance type (don’t press “Select” yet), then go back to ml.m5.2xlarge before pressing “Select”. That might get around the issue. Thanks!
Hi Gent! Sorry for jumping in here. I just saw a similar report recently, so I wanted to investigate if this is a bigger problem. Thanks!
Hi Asadbek! From the error message, it seems like you’re selecting ml.m5.large. Please select ml.m5.2xlarge as shown in the screenshot in the notebook. Hope this helps.
Hi Neil. From your 1st screenshot, you’re selecting ml.m5.large as the instance type. The error message in your second screenshot also indicates ml.m5.large. Please select ml.m5.2xlarge instead.
I have the same issue here. The kernel always dies in cell 11 and never restarts. I have tried another “instance type” that Chris suggested when selecting the kernel and it didn’t work either. Any help would be appreciated. Thanks.
I had the same issue and Chris advised me to change the environment variable upon start up to ml.m5.2xlarge and that took care of the dying kernel in cell 11.
Hi Steve. Sorry to hear that. So far, I haven’t been able to reproduce the issue. Can you show that you have selected ml.m5.2xlarge in the selection screen before the kernel crashes? You can hover over the notebook environment button to produce a screenshot like below:
Please do not use any other instance type. Please retake a screenshot of the error (just like what you did in your post above) when you reattempt the lab with ml.m5.2xlarge. Also, if you get that error, please also send me your AWS account ID via direct message. It should be on the upper right of the AWS Console. You can refer to the second part of this article for instructions. I can forward it to our engineer. Thanks!