# Accelerate a World of LLMs on Hugging Face with NVIDIA NIM

DevFeed: [Accelerate a World of LLMs on Hugging Face with NVIDIA NIM](<https://devfeed.tech/articles/accelerate-a-world-of-llms-on-hugging-face-with-nvidia-nim-7388.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/nvidia/multi-llm-nim>)

Author: Neal Vaidya

Published: 2025-07-21T18:01:30Z

Content type: tutorial

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [NVIDIA NIM](<https://devfeed.tech/topics/nvidia-nim.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>), [Inference](<https://devfeed.tech/topics/inference.md>), [Docker Container](<https://devfeed.tech/topics/docker-container.md>), [TensorRT-LLM](<https://devfeed.tech/topics/tensorrt-llm.md>), [sglang](<https://devfeed.tech/topics/sglang.md>), [vllm](<https://devfeed.tech/topics/vllm.md>)

Tags: [cuda](<https://devfeed.tech/tags/cuda.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [docker](<https://devfeed.tech/tags/docker.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [inference](<https://devfeed.tech/tags/inference.md>), [llms](<https://devfeed.tech/tags/llms.md>), [nim](<https://devfeed.tech/tags/nim.md>), [nvidia-nim](<https://devfeed.tech/tags/nvidia-nim.md>), [sglang](<https://devfeed.tech/tags/sglang.md>), [tensorrt-llm](<https://devfeed.tech/tags/tensorrt-llm.md>), [vllm](<https://devfeed.tech/tags/vllm.md>)

## AI overview

This tutorial explains how NVIDIA NIM can deploy a broad range of LLMs from Hugging Face using a single Docker container. It covers supported checkpoint formats, inference frameworks, environment prerequisites, authentication, caching, permissions, and local model deployment.

## Source excerpt

NVIDIA AI customers and ecosystem partners leverage NVIDIA NIM inference microservices to streamline deployment of the latest AI models on NVIDIA accelerated infrastructure, including LLMs, multi-modal and domain-specific models from NVIDIA, Meta, Mistral AI, Google and hundreds more innovative model builders.