Infrastructure
Hardware resources (computing and storage resources), software resources and generally available models and data are provided in the form of easily requested or directly bookable services. These can be used for research, development and technology in the fields of medicine and energy. The required data security is of course guaranteed.
Hardware
Computing Resources - Training Platform
GPU-based HPC system with current NVIDIA A100 and H100 GPUs for training tasks
Computing Resources - Inference Platform
GPU-based HPC system with current NVIDIA H100 GPUs and a software environment for inference tasks
Computing Resources - Future Technology Platform
Architectures such as ARM and RISC-V and other heterogeneous hardware systems such as Intel Graphcore
Secure HPC Partition
Isolated partition for processing highly sensitive data (e.g. health data) on our systems, e.g. our GPU-based HPC system with current NVIDIA A100 and H100 GPUs.Software
Chat AI
AI chat service similar to ChatGPT with several available models, including ChatGPT-4, and high data protection.
Secure Container Registry
Container Registry for the secure HPC partition, which is for instance comprised of GPU-based HPC systems with current NVIDIA A100 and H100 GPUs for training and inference tasks, respectively.
Protein structure prediction
Ready-to-use software stack and community support for protein structure prediction.
Voice AI
Voice AI service offering advanced transcription and translation capabilities, including real-time captioning with high data protection.Models & Data
Secure data catalog
You want to index your sensitive data securely and centrally to build a data catalog? We offer you the possibility to store and query metadata encryptedly.
Data and Model Catalog
You want to publish data and models in accordance with the FAIR principles and make them reusable. We offer you a corresponding data and model catalogue.
AI prediction models in clinical medicine and health care
Demonstration of existing AI-based prediction models from clinical medicine and healthcare.Consulting
Our consulting services provide entry-level advice for clients who are inexperienced in AI, advise on the infrastructure, data and models offered, and provide concrete assistance on a variety of relevant topics such as data preparation, benchmarking, automated machine learning, explainability of AI or project implementation.
Entry-level Consulting
Entry-level Consulting for Energy and Health Sectors
Entry-level consulting in the field of health and energy for clients without practical experience in data-driven solutions and business models
Entry-level Consulting for Other Sectors
Entry-level consulting for clients outside the health and energy sectors without practical experience on data-driven solutions and business modelsAdvanced-level Consulting
Initial Consultation for Neuromorphic Computing
Overview of the opportunities that modern neuromorphic hardware offers for AI modelsTechnical Benchmarking - Porting to Neuromorphic Systems
Development and evaluation of the implementation of AI models on modern neuromorphic hardware
Technical Benchmarking - Porting to Graphcore
Explore the potential of innovative Graphcore IPUs for your ML application.
Technical Benchmarking - Porting to FPGA
Trained models can be ported to FPGA-based systems to perform inference tasks in an energy-efficient way.
Technical Benchmarking - Porting to Quantum Computers
Create quantum circuits for innovative solutions to machine learning problems.
Consulting on data management in medical AI projects
Consulting on data management and data preparation for medical data analyses in AI projects.
Routine data, data protection requirements and ethics
We support you in formulating questions relevant to data protection and ethics when working with routine data from health insurance companies
Processing of routine data of health insurance companies
Would you like to learn how to prepare routine data from health insurance companies for an AI application?
Data handling for applications in the field of energy
We consult you on data management, data processing and data visualization
Data sovereignty and data management
Consulting on efficient data management with optional consideration of data sovereignty.
AI Models in Clinical Research
Development, visualisation, validation and evaluation of AI models in clinical research
Requirements and fields of application for software medical devices
Awareness of regulatory requirements that may be associated with the medical software product or DIGA being developed
Evaluation of medical AI products
We provide advice on identifying appropriate study designs that meet the existing regulatory requirements for demonstrating the efficacy of the medical AI product.
Product and process benchmarking of existing customer applications
Evaluation of an AI-based customer application in comparison to the current state of the art
Product Management
Advice on and planning of AI products in the healthcare and energy sectors
AI Models for applications in the field of energy
Consulting on the application of AI models for the energy sector and energy-related problems
Technical AI Consulting
Providing expert guidance and hands-on support for practical, efficient AI deployment across different technology stacks.
Entry-level consulting for AutoML
AutoML can handle many design decisions for AI applications, making the development process more efficient.Development
We support users in pursuing their own development projects, and also develop products for customers ourselves. In this way, initial prototypes can be developed up to turnkey AI solutions for the customers’ requirements, which are either operated on the infrastructure of the service centre or by the users themselves.
Evaluation of AI concepts in the energy field
AI experts evaluate your ideas and concepts for AI applications, identify potential for improvement, and support you in their implementation
Support for AI projects in the field of energy
Support and assistance implementing your AI pilot project in the energy field.
Domain knowledge and benchmarking in the field of medicine
Accompanying and supporting your project by providing domain knowledge and benchmarking processes.
Data Analysis & Data Science in the field of energy
Support in analyzing your data in the field of energy
Pattern Recognition
Unsupervised learning methods can be used to estimate the complexity of the data and represent them in a compact fashion.
Model selection service for Medicine
Support in choosing an appropriate model
Model tuning in the medical sector
Advice on optimizing your existing AI solutionTraining
We qualify you in all aspects of AI. You can choose from an extensive selection of training courses that have been developed to match the services offered in KISSKI. The partners of the KISSKI consortium also open relevant areas of their own training programmes to KISSKI users. In addition, e-learning materials are available for download.
Training courses explicitly designed for KISSKI
Deep Learning Bootcamp: Building and Deploying AI Models
Date: 2024-12-09 - 2024-12-10Venue: Online
Organiser: GWDG
Introduction to neural networks, model building with TensorFlow and PyTorch and Deployment of AI models.
How to KISSKI
Date: 2025-01-29Venue: Göttingen
Organiser: GWDG
You want to learn how to use the KISSKI infrastructure? We will teach how to get onto the front end systems and start batch jobs using SLURM.
Deep Learning with GPU Cores
Date: 2025-02-13Venue: online
Organiser: GWDG
Graphic processors enable efficient deep learning on a massive scale. This course will explore how to use deep learning frameworks with GPU cores.
Deep Learning Bootcamp: Building and Deploying AI Models
Date: 2025-03-20 - 2025-03-21Venue: Online
Organiser: GWDG
Introduction to neural networks, model building with TensorFlow and PyTorch and Deployment of AI models.
How to KISSKI
Date: 2025-05-06Venue: Göttingen
Organiser: GWDG
You want to learn how to use the KISSKI infrastructure? We will teach how to get onto the front end systems and start batch jobs using SLURM.
Deep Learning Bootcamp: Building and Deploying AI Models
Date: 2025-06-17 - 2025-06-18Venue: Online
Organiser: GWDG
Introduction to neural networks, model building with TensorFlow and PyTorch and Deployment of AI models.
External courses offered by the KISSKI consortium partners
Thematically appropriate courses from the training courses offered by the institutions participating in the KISSKI consortium. Some of the courses are subject to a fee. In order to register for the GWDG’s course program free of charge, you need an AcademicId, which you can easily create.
Getting Started with Linux Bash
Date: 2025-01-29Venue: Göttingen
Organiser: GWDG
Are you afraid of the terminal, that black box with the $ signs in front? Become acquainted with the Linux Bash in order to use the power of HPC.
Performance Analysis of AI and HPC Workloads
Date: 2025-03-26Venue: Online
Organiser: GWDG
This course will equip you with fundamental knowledge on how to efficiently use HPC systems to run AI applications.
Getting Started with Linux Bash
Date: 2025-06-05Venue: Göttingen
Organiser: GWDG
Are you afraid of the terminal, that black box with the $ signs in front? Become acquainted with the Linux Bash in order to use the power of HPC.
AutoML - Automated Machine Learning
Date: Anytime (self studies)Venue: Online
Organiser: LUH
Learn how to use and design automated approaches for determining Machine Learning (ML) pipelines efficiently
Your service is not yet included?
Please contact us via the contact form or use our entry-level consultation.