[[["Fácil de comprender","easyToUnderstand","thumb-up"],["Resolvió mi problema","solvedMyProblem","thumb-up"],["Otro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Información o código de muestra incorrectos","incorrectInformationOrSampleCode","thumb-down"],["Faltan la información o los ejemplos que necesito","missingTheInformationSamplesINeed","thumb-down"],["Problema de traducción","translationIssue","thumb-down"],["Otro","otherDown","thumb-down"]],["Última actualización: 2025-09-04 (UTC)"],[],[],null,["# Run LLM inference on Cloud Run GPUs with Hugging Face TGI\n\nThe following example shows how to run a backend service that runs the [Hugging Face Text Generation Inference (TGI) toolkit](https://huggingface.co/docs/text-generation-inference), which is a toolkit for deploying and serving Large Language Models (LLMs), using Llama 3.\n\nSee the entire example at [Deploy Llama 3.1 8B with TGI DLC on Cloud Run](https://huggingface.co/docs/google-cloud/examples/cloud-run-tgi-deployment)."]]