Machine learning: batch

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 container with dedicated CPUs, GPUs and memory for maximum performance.

For now, see here for the documentation.

Tip

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