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In this second part, we focus on the practical implementation of this high-performance pipeline. We show step-by-step how to set up a dedicated, fast processing server on your own NVIDIA GPU using Podman (on Rocky Linux) and the vLLM inference engine. We then build an asynchronous Python client to fully leverage the GPU's power and process even large stacks of documents.