Your question is VLM Inference Latency Optimization. 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).
What strategies would you use to optimize the inference latency of a VLM for real-time applications?
Discuss how you would profile the system, identify bottlenecks, and choose among architectural changes, input reduction, quantization, compilation, batching, and hardware-specific optimizations. Explain how you would measure latency and throughput while verifying that optimization does not materially reduce model quality.