Model Serving

Model serving infrastructure deploys trained machine learning models as production APIs with load balancing, autoscaling, and version management. It bridges the gap between model development and production use. European providers in this space focus on data residency for inference traffic, with differences in supported frameworks (PyTorch, TensorFlow, ONNX), cold start latency, and GPU time-sharing efficiency.

12 European providers