Compare TensorFlow Serving, TorchServe, and Triton Inference Server. When would you choose each for production deployment?

Sample answer preview

Model serving frameworks provide optimized infrastructure for deploying ML models at scale. They handle concerns like batching, caching, model versioning, and hardware optimization that would be complex to implement in a custom REST API.