Native-speed vLLM transformers modeling backend

This post introduces a native-speed vLLM transformers modeling backend for Hugging Face Inference Endpoints. It details the integration of vLLM, an open-source LLM inference engine, to achieve high throughput and low latency. The post likely covers the technical aspects of integrating vLLM's PagedAttention mechanism and continuous batching into the Hugging Face serving infrastructure, enabling performance comparable to direct vLLM usage.