Distributed Machine Learning with Google Cloud MLGo to Lab
The vm does not respond so it cannot be completed.
Connecting... Establishing connection to SSH server... Started in Cloudshell, didn't work either
Bad connection to the VM. I stoped after 10 min of "Connecting... Establishing connection to SSH server...
SSH module keeps breaking (venv) student-00-88ce0fb5f340@lab-vm-qldm-11149466-80d6715f7cf31c92:~$ sudo apt -y update -bash: fork: Cannot allocate memory
SSH crashed and disappeared, afterwards 401 unauthorized. Lots of credits and time wasted on this exercise
https://ssh.cloud.google.com/projects/qwiklabs-gcp-00-181cf26dc2a7/zones/us-central1-a/instances/lab-vm-qldm-11149246-dd87040bea9b71cd?authuser=0&hl=en_US&projectNumber=33173557256 froze and disconnected, quite some credits gone and time wasted on this exercise
Extracting templates from packages: 76%E: Couldn't make mmap of 25165824 bytes - DynamicMMap (12: Cannot allocate memory) debconf: apt-extracttemplates failed: No such file or directory Extracting templates from packages: 100% FATAL -> Failed to fork.
Lost connection to ssh while changingmodel.py, Unauthorized Error 401
Lost connection to ssh, Unauthorized Error 401
The initial VM was provisioned with little memory. One will need to create another Compute Engine instance with enough memory
The data used to create the GCP does not match the data used in the tutorial