How to Deploy a Machine Learning Model With Spark

There's a lot of deployment patterns and those really depends on what it is that we need, right? So it can be within a microservice, right? It can be on its own service. It can be part of a batch processing that we're running. And so I can leverage that in microservices environment as well. There are some things to think about, like around scale and, uh, deployment,. Like if I am wrapping it within an existing service, that means that my deployment cycles are also going to be attached to the deployment cycles of the actual service. If I need GPU, or if I need some specific hardware for to run the model in production, get the result fast