The flexible Digital Engineering Workplace

Everything that engineers and designers need bundled in one place: The Digital Engineering Workplace provides a modern virtual working environment with powerful computing power. Use the state-of-the-art technologies of the Digital Engineering Workplace from GNS Systems flexibly according to your requirements.


A modern workplace for engineering jobs

Digitisation is changing the world of work. Today, with the cloud, the IT resources required are quickly and easily available on-demand. The Digital Engineering Workplace from GNS Systems is also based on this principle. Users get access to a personalized Linux workstation via a thin client, which includes all necessary programs and applications for the individual engineering workloads. The Digital Engineering Workplace is thus perfectly suited for computationally intensive simulations and analyses in product development.

Increase your productivity

The Digital Engineering Workplace from GNS Systems reduces the investment and operating costs for your system and infrastructure landscape. Users get access to the latest technologies and computing power for their workloads - scalable at any time according to their needs. This improves productivity and enables fast results. A Virtual Private Network guarantees the secure data transfer between the user systems and the servers of the Digital Engineering Workplace. In addition, the underlying IT infrastructure meets the requirements of the TISAX Level 2 standard for information security.

Services for the Digital Engineering Workplace:

  • Consulting and requirements analysis for the Digital Engineering Workplace
  • Proof of concept
  • Integration of Simulation Data Management
  • Integration of Product Lifecycle Management
  • Integration into a reliable HPC infrastructure (also in the cloud)

IT Services


High Performance Computing

For extreme computing and data intensive applications.

Cloud Computing

Build and operate HPC clusters in the cloud - simply and reliably.

Simulation Data Management

Selection, integration, operation and further development of SDM systems.

Data Management & Analytics

Requirement management and proof of concepts of tailor-made solutions.

Deep Learning & AI

Effective data analysis, models and architectures for AI.

Digital Engineering Workplace

Advanced technologies and computing power for engineering workloads.

Software Engineering

Planning and development of customer-specific software.

Systems & Application Management (Linux/Windows)

Management of system infrastructures.