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Docker | Blender

Starling Studio Suite

This Docker setup provides a Blender environment running on Ubuntu with CUDA support, ideal for GPU-accelerated rendering tasks.

Prerequisites

  • Docker Engine
  • NVIDIA Docker for GPU support (only required if you intend to utilize GPU capabilities)

Getting Started

These instructions will cover usage information and for the docker container.

Build Instructions

To build the Docker image, run the following command from the root of the repository:

docker build -t blender-gpu .

This command builds the Docker image with the tag blender-gpu, which you can use to refer to the image later.

Running the Container

To run Blender in a Docker container with GPU support, use:

docker run --gpus all -it --rm blender-gpu

This command runs the Blender application with access to all available GPUs on the host machine, opens an interactive terminal session, and removes the container when it exits.

Interactive Mode

To start the container in interactive mode where you can execute Blender commands or scripts, use:

docker run --gpus all -it --rm blender-gpu /bin/bash

You will enter into the command line inside the container where you can manually run Blender.

Environment Variables

  • BLENDER_HOME: /opt/blender
  • BLENDER_VERSION: 2.80
  • PATH: Includes Blender Python binary path
  • LANG: C.UTF-8
  • LC_ALL: C.UTF-8
  • DEBIAN_FRONTEND: noninteractive

License

This project is licensed under the Creative Commons 4.0 Attribution-ShareAlike 4.0 International - see the LICENSE.md file for details.

Acknowledgments

  • Clarkson University for Blender mirror
  • NVIDIA for CUDA Docker images

Colophon

Starling Studio Suite

Starling Studio Suite is an advanced collection of Docker images specifically tailored for the Architecture, Engineering, and Construction (AEC) industry and spatial computing. This suite offers a comprehensive set of tools that facilitate everything from design and visualization to simulation, collaboration, and spatial analysis.

The Starling Studio Suite aims to provide a cohesive environment where architects, engineers, and construction professionals can leverage cutting-edge technologies to enhance their workflows. This includes applications for Building Information Modeling (BIM), Computer-Aided Design (CAD), Geographic Information Systems (GIS), and more.

The Starling Studio Suite provides a comprehensive set of Docker images tailored for the AEC industry and spatial computing. It offers tools for design, BIM, GIS, simulation, collaboration, and automation, making it an invaluable resource for professionals looking to enhance their workflows and deliver innovative solutions in the built environment.