How does reducing the precision of model weights from 16-bit to 4-bit impact your infrastructure costs?

Can you use "Spot" or "Preemptible" GPU instances for real-time inference? What happens to the user's request if the cloud provider reclaims the GPU mid-generation?

If your goal is to process 1,000,000 documents as fast as possible (offline), how does your deployment strategy differ from a real-time chatbot (online)?

How do you integrate prompt changes into a CI/CD pipeline? Should a "Prompt Change" trigger a full deployment or just a configuration update?