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title: Deploying LLMs Into Production Using TensorRT LLM
description: This post provides a guide on deploying large language models into production using TensorRT-LLM. It explains the benefits of using TensorRT-LLM and how to...
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> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Deploying LLMs Into Production Using TensorRT LLM

**[Medium](https://daily.dev/sources/medium_js)** · 12 min read · 3 upvotes · 0 comments

## Summary

This post provides a guide on deploying large language models into production using TensorRT-LLM. It explains the benefits of using TensorRT-LLM and how to compile a model using this framework. It also introduces Truss as a tool for deploying compiled models and highlights its features. The post concludes with performance benchmarks and the author's recommendation to use TensorRT-LLM for state-of-the-art inference.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://towardsdatascience.com/deploying-llms-into-production-using-tensorrt-llm-ed36e620dac4>

---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#cicd](https://daily.dev/tags/cicd), [#llm](https://daily.dev/tags/llm)

[View this post on daily.dev](https://daily.dev/posts/deploying-llms-into-production-using-tensorrt-llm-yjxi5o90x)

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