GPULab is a distributed system for running jobs in GPU-enabled Docker-containers. GPULab consists out of a set of heterogeneous clusters, each with their own characteristics (GPU model, CPU speed, memory, bus speed, …), allowing you to select the most appropriate hardware. Each job runs isolated within a Docker containers with dedicated CPU’s, GPU’s and memory for maximum performance.

This documentation contains more info on what GPULab is and how to use it.


Looking for a quick introduction? Have a look at our 'GPULab and JupyterHub introduction' slidedeck.

For bugreports, questions and feedback:

Table of Contents