Your question is GPU Cost-Performance Tradeoffs. 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).
How do you approach cost-performance tradeoffs when deploying models on GPU infrastructure?
Discuss the measurements, deployment choices, and optimization sequence you would use when deploying a model through Baseten Truss. Cover latency, throughput, GPU utilization, memory constraints, batching, precision, replica scaling, and the effects of cold starts.
The answer should focus on how you make and validate the tradeoff rather than naming one universally best GPU or configuration.