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Offers for the Energy sector
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Infrastructure
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
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.
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.
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
Initial Consultation for Neuromorphic Computing
Overview of the opportunities that modern neuromorphic hardware offers for AI models
Technical 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.
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.
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
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
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.
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.