Computer Aided Engineering (CAE) generates ever larger amounts of simulation and process data. A system for Simulation Data Management (SDM) helps to manage this data. GNS Systems advises on selection and integration and guarantees smooth operation. This way, you make the most of the value of your data.
Raise your simulation data treasure
The development process of the future is digital. CAE applications are already the key technology for bringing products to market quickly and cost-effectively. This results in a large amount of simulation data from the individual disciplines, which are then incorporated into computer-aided product data management systems. Effective data management increases the availability of your data and accelerates your simulation processes. The basis for this is a suitable system for simulation data management. GNS Systems supports you in selecting a suitable solution according to your requirements. The consultation includes relevant cornerstones of a successful Simulation Data Management such as infrastructure design, process interfaces, automation as well as system redundancy for more safety.
We ensure a smooth integration of the selected SDM solution into your existing system landscape. This includes the installation and configuration of the software as well as the development and integration of scripts or tools. To ensure optimal operation, we carry out IT, performance and functional tests. Requirements change over time. Therefore GNS Systems extends the SDM system by additional calculation disciplines and connects new user groups if required. Thus, your Simulation Data Management is prepared for future challenges.
Benefit from professional operating services:
- Ensure system availability
- Incident processing
- Error analysis and correction
- Planning and implementation of change management processes
- Securing of the system during infrastructure changes and execution of subsequent functional tests
- Automated rollouts
- DevOps for continuous development
For extreme computing and data intensive applications.
Build and operate HPC clusters in the cloud - simply and reliably.
Selection, integration, operation and further development of SDM systems.
Requirement management and proof of concepts of tailor-made solutions.
Effective data analysis, models and architectures for AI.
Advanced technologies and computing power for engineering workloads.
Planning and development of customer-specific software.
Management of system infrastructures.