January/February issue of the GWDG News published

The January/February issue of the GWDG News has just been published. It contains among others the following topics: Outlook on Developments in GWDG Applications State Funds Joint Project to Strengthen the Cyber Resilience of Universities Creating Accessible Applications with Semantic Properties in .NET MAUI SpiNNaker 2 Workshop >> Click here for the GWDG News 1-2/2024

GWDG LLM Service – Generative AI for Science

Starting from February 22nd, 2024, GWDG offers its own ChatGPT service, which runs on in-house hardware. All users with an AcademicCloud account can access the website and chat with a generative AI to support their work. The service is currently based on Intel’s NeuralChat 7b v3.1 and runs on GWDG’s HPC infrastructure. Using an internally-developed … Weiterlesen

No Terminal Services available from internet

In connection with the security incident of September 28, 2023, we would like to inform you that NO Terminal Services are currently available from the Internet. Within the GÖNET or via VPN, however, it can still be accessed. Affected systems are gwd-wints1.top.gwdg.de and vcenter.rds.gwdg.de . Your GWDG

Best Practices for Machine Learning with HPC

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 various HPC systems with suitable accelerators to train deep learning models. This article explains model … Weiterlesen

Season´s Greetings

We wish all our users a Merry Christmas, a Happy New Year and good luck, happiness, success and above all health for 2024

SynForest – Synthetic Generation of LiDAR Data in Forests

As part of the BMBF founded project FORESTCARE we have developed SynForest, an application that generates high-quality point cloud datasets of synthetic forests. For this purpose, we aimed to produce realistic patterns by combining forest growth simulation tools such as ForestFactory2 with tree shape modeling based on real data from existing databases such as PyTreeDB3. … Weiterlesen