Deploy Your ML Model as a Web Service in Minutes Using GCP’s Cloud Run

Share your ML model using GCP’s fully managed serverless service

Model deployment is a crucial step in an ML project lifecycle. There are multiple ways it can be done, either in a batch processing or stream processing pipeline or as a web service. This last option is the focus of this post, we will deploy an ML model to Cloud run, which is a service that Google Cloud offers to deploy applications in a …

cloud fastapi gcp ml nlp spacy web