Driving digital engineering forward, while remaining flexible and minimizing investments: Cloud computing and HPC are the ideal combination to meet these demands. GNS Systems is paving the way for anchoring Computer-Aided-Engineering applications (CAE) individually and uncomplicatedly in the cloud.
Full computing power for CAE applications
Start your CAE projects in a cloud environment that supports your needs with extrapolation services. Cloud solutions from GNS Systems offer reliable performance and are maximally scalable. The decisive advantage: Extensive computing resources are available in the shortest possible time without long lead times. Compute-intensive engineering workloads for product development, simulations or analyses can be implemented at any time thanks to turnkey HPC platforms.
Individual solutions as simple as never before
Your business case determines how complex the HPC clusters in the cloud are. Use Cloud Computing according to your ideas: Either as a backup for on-premise resources or as an extension of local compute clusters, according to your current needs - for example, to cushion load peaks. But a cloud-only approach can also be implemented with GNS Systems. This means: Your HPC clusters run exclusively in the cloud and map your complete HPC workflows - including pre- and post-processing, solving and long-term archiving of data.
Clear advantages for HPC in the cloud:
- High degree of automation
- Calculation cluster potentially unlimited scaling
- Cost advantages when implemented in line with requirements
- Workload optimized environments
GNS Systems develops solutions for Azure, AWS as well as Open Telekom Cloud and delivers all service modules. Starting with individual consulting: experts with many years of experience in engineering and cloud computing develop an HPC concept which is aligned to your needs. Based on this, we develop a proof of concept (PoC) for you. This way you can test the potential of HPC in the cloud. You also benefit from our highly specialized expertise when operating the cloud environment.
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.