Editorial question20.5K views1,811 votes0 answers4,971 following
AI-generatedWhat memory overhead and latency impact occur when TensorFlow Serving loads a new model version while the old version remains active?
Goal Determine the additional memory consumption and request latency introduced when TensorFlow Serving loads a new model version while the previously served version remains active to handle in‑flight requests. Context TensorFlow Serving exposes models through REST and gRPC endpoints. The model_config file can specify a model_version_policy that governs whet
tensorflow