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Deploying MinerU with Docker

MinerU provides a convenient Docker deployment method, which helps quickly set up the environment and solve some tricky environment compatibility issues.

Build Docker Image using Dockerfile

wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/global/Dockerfile
docker build -t mineru-sglang:latest -f Dockerfile .

Tip

The Dockerfile uses lmsysorg/sglang:v0.4.8.post1-cu126 as the base image by default, supporting Turing/Ampere/Ada Lovelace/Hopper platforms. If you are using the newer Blackwell platform, please modify the base image to lmsysorg/sglang:v0.4.8.post1-cu128-b200 before executing the build operation.

Docker Description

MinerU's Docker uses lmsysorg/sglang as the base image, so it includes the sglang inference acceleration framework and necessary dependencies by default. Therefore, on compatible devices, you can directly use sglang to accelerate VLM model inference.

Note

Requirements for using sglang to accelerate VLM model inference:

  • Device must have Turing architecture or later graphics cards with 8GB+ available VRAM.
  • The host machine's graphics driver should support CUDA 12.6 or higher; Blackwell platform should support CUDA 12.8 or higher. You can check the driver version using the nvidia-smi command.
  • Docker container must have access to the host machine's graphics devices.

If your device doesn't meet the above requirements, you can still use other features of MinerU, but cannot use sglang to accelerate VLM model inference, meaning you cannot use the vlm-sglang-engine backend or start the vlm-sglang-server service.

Start Docker Container

docker run --gpus all \
  --shm-size 32g \
  -p 30000:30000 -p 7860:7860 -p 8000:8000 \
  --ipc=host \
  -it mineru-sglang:latest \
  /bin/bash

After executing this command, you will enter the Docker container's interactive terminal with some ports mapped for potential services. You can directly run MinerU-related commands within the container to use MinerU's features. You can also directly start MinerU services by replacing /bin/bash with service startup commands. For detailed instructions, please refer to the Start the service via command.

Start Services Directly with Docker Compose

We provide a compose.yaml file that you can use to quickly start MinerU services.

# Download compose.yaml file
wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/compose.yaml

Note

  • The compose.yaml file contains configurations for multiple services of MinerU, you can choose to start specific services as needed.
  • Different services might have additional parameter configurations, which you can view and edit in the compose.yaml file.
  • Due to the pre-allocation of GPU memory by the sglang inference acceleration framework, you may not be able to run multiple sglang services simultaneously on the same machine. Therefore, ensure that other services that might use GPU memory have been stopped before starting the vlm-sglang-server service or using the vlm-sglang-engine backend.

Start sglang-server service

connect to sglang-server via vlm-sglang-client backend 

docker compose -f compose.yaml --profile sglang-server up -d

Tip

In another terminal, connect to sglang server via sglang client (only requires CPU and network, no sglang environment needed) 

mineru -p <input_path> -o <output_path> -b vlm-sglang-client -u http://<server_ip>:30000

Start Web API service

docker compose -f compose.yaml --profile api up -d

Tip

Access http://<server_ip>:8000/docs in your browser to view the API documentation.

Start Gradio WebUI service

docker compose -f compose.yaml --profile gradio up -d

Tip

  • Access http://<server_ip>:7860 in your browser to use the Gradio WebUI.
  • Access http://<server_ip>:7860/?view=api to use the Gradio API.