Hey, GCP is a great choice for MLOps. They offer an excellent service for various types of ML applications called Vertex AI.
The tabs you might be looking for are “Deploy and Use” (specifically, the model registry to import a pre-trained model) and “Model Development” for training a model.
Back to your original question: generally, you just need to create a Vertex AI endpoint. For scaling, you can select from many machine and accelerator types. You can then call the endpoint with Cloud Run, Cloud Functions, or the backend of your application using the ‘google-cloud-aiplatform’ SDK… Let me know if you have any troubles with this step.
Also, there is a JavaScript SDK, ‘@google-cloud/aiplatform’, which the Vertex AI team updates less often than the Python SDKs.
Here are some useful links:
Deploying HF models on Vertex AI
Deploying Torch models on Vertex AI
Feel free to ask me any clarification questions.