In GCP I was deploying a model which obtain from training a dataset and after success full Vertex AI Model Registry. It takes too much time around 10 min to create endpoint for model. How can I reduce creation time when creating endpoints on GCP? What factors affected endpoint creation ?
This video would be a good starting point:
Deploying quick, cost-effective ML models with Vertex AI> > Managed notebook environments make it easier, faster, and more cost-effective to get high-quality models into production without having to set up infrastructure or install libraries. In this session, we’ll demo how to use Vertex AI to get batch and online predictions and use the Vertex AI Python SDK to upload models to Vertex AI Model Registry and deploy to an endpoint with little code.
thanks for reply but given resource does not work for me !!!