Your question is Serve Large NLP Models Fast. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are deploying a large NLP model for production inference. The model must serve real user traffic, and you need to choose the right framework, runtime, and serving setup while keeping latency and throughput under control.
What frameworks would you choose to deploy a massive NLP model, and how would you optimize for inference speed?