RESOURCE_EXHAUSTED with Vertex Pipeline by leveraging the free trial on GCP

Question

I am fairly new to GCP and I am playing around with it taking advantage of the free trial.

I would like to run this simple pipeline in Vertex from notebook, but once I run it, I get this error in the very first task.

com.google.cloud.ai.platform.common.errors.AiPlatformException: code=RESOURCE_EXHAUSTED, message=The following quota metrics exceed quota limits: aiplatform.googleapis.com/custom_model_training_cpus, cause=null;

I've looked at the quotas of the error and I have 1 CPU for each available region. Of course I can not edit them, because of the free trial.

I also made these other attempts without success:

• Set the CPU limit equal to 1 on the pipeline component;
• Use the less powerful machine available (n1-standard-4, which actually uses 4 vCPUs);
• Run the pipeline in different regions;
• Define and run the pipeline in a completely new project;
• Define and run the AutoML pipeline for classification/regression, starting from the available models.

It seems rather strange to me that it is not possible to try this service with free trial, but I don't know how to solve the problem. Any ideas? Thanks

Answer 1

Which regions have you tried? You can check the regions available of the resource in question at the Quotas page within your project. go to "IAM & Admin" > "Quotas" then go find the resource at the search bar:

Another alternative is to request a quota increase, be aware though that there that quota increase request will go though evaluation before getting granted. For more information about conditions about quota you can visit Google's documentation here.