A scout-store chatbot is busy only around camp-signup week and is quiet the rest of the year. The store does not want idle GPU servers in January. Which cost approach fits?
Select an answer to reveal the explanation.
Short Explanation
Think of a scout-store bot that only wakes up at camp-signup week. Pay-for-use managed inference can sit quiet in January. Year-round GPUs just heat the closet.
Full Explanation
Managed, usage-based inference is cost-effective when traffic is seasonal. Year-round GPU servers stay idle after signup week. Training a new model each January just to keep hardware busy is not a cost plan. Chatbots can be metered by use.