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title: Docker Model Runner + vLLM: High-Throughput Inference
description: Docker Model Runner now integrates vLLM inference engine and safetensors models, enabling high-throughput AI inference on NVIDIA GPUs. The integration...
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og:description: Docker Model Runner now integrates vLLM inference engine and safetensors models, enabling high-throughput AI inference on NVIDIA GPUs. The integration...
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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.

# Docker Model Runner + vLLM: High-Throughput Inference

**[Docker](https://daily.dev/sources/docker)** · 6 min read · 0 upvotes · 0 comments

## Summary

Docker Model Runner now integrates vLLM inference engine and safetensors models, enabling high-throughput AI inference on NVIDIA GPUs. The integration automatically routes requests between llama.cpp and vLLM based on model format (GGUF vs safetensors), allowing developers to prototype locally and scale to production using the same Docker commands. Currently available for x86_64 with NVIDIA GPUs, with WSL2/Docker Desktop and DGX compatibility planned.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.docker.com/blog/docker-model-runner-integrates-vllm/>

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---

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

[View this post on daily.dev](https://daily.dev/posts/docker-model-runner-vllm-high-throughput-inference-0lq7wedak)

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