By fully open-sourcing our web interface, we aim to build a vibrant community where ideas can be shared and improvements can be made together. This move will hopefully accelerate the development process, introduce diverse perspectives, and ensure that our platform [...]
Reliable software environments are often a problem for data scientists. This becomes an issue especially when the analysis needs to be run on different machines – colleagues laptop, cloud VM or HPC cluster. Here we introduce the idea of containerised [...]
Viking, the Scandinavian Online Kit for Nanoscale Modelling [1,2], is a highly convenient web-based graphical user interface application for computational chemistry or molecular dynmaics simulation. It allows users to configure their MD simulations in a [...]
We’ve made several improvements to enhance your experience with our Chat AI. Here’s what’s new:
In the current iteration of our internal journal club, Jonathan Decker presented the paper “xLSTM: Extended Long Short-Term Memory” by Beck et al. published in 2024. If you are interested in exploring xLSTM on our cluster, Jonathan has prepared [...]
The GWDG offers data scientists various services and training courses to support them in their work throughout their entire workflow. As the success of a machine learning project often depends on the available computing resources, the working group “Computing” operates [...]
Deep learning powers a broad range of applications, from autonomous cars and image generation to voice assistants. The successful training of deep learning models necessitates the use of graphics processing units (GPUs). To facilitate a quick and easy start with [...]
The GWDG offers two systems for high-performance computing; the Scientific Compute Cluster (SCC) and Emmy.
For researchers of the Max Planck Society and University of Göttingen
The tier-3 Scientifc Compute Cluster is operated for researchers [...]