Inference Pipline Deployment Failing.

Question

I am making a simple classification pipeline on Azure ML studio. I import, clean, and split data, and then train a model on it. The data is csv and comes from a blob storage account. Running jobs with the pipeline works fine, so I made an inference pipeline (which also works). I enter data manually, run the job, and the data comes out with a predicted label.

The problem is with deploying the model. Every time I try to deploy a secondary process/job called "Prepare image" begins. This job always fails and I am not sure why, even when I try to look through the (extremely long) logs. Does anyone have any insight on why this could be happening? For reference I am using an Azure Compute instance for deployment, with base settings.

I have tried running the deployment 3 times now, and the last time it said "Deploy: Failed on Waiting real-time endpoint creation. Details: Failed Building the Environment."

I looked at the support docs and tried changing some permissions to see if it fixed the problem and it didn't.

Does anyone know how to fix this? I can give more details if needed. Thanks!