Green IT in Industry: Edge Systems for Energy-Efficient Automation

ROSCH Computer, Wiesbaden, 17.08.2026 - Green IT not only includes energy-efficient computer hardware. In industrial production, digital technologies can help make energy consumption more transparent, control processes more efficiently, and use materials and operational resources more effectively. Industrial edge systems process machine, sensor, and image data directly within the production environment. This creates a technical foundation for applications such as energy management, process optimization, predictive maintenance, quality control, and digital twins.

Industry 4.0 has arrived in production

The digitalization of industrial processes is now widespread. According to the Bitkom study "Industry 4.0: How digital is Germany's industry?" from 2026, 97 percent of the surveyed industrial companies use at least one Industry 4.0 application. Artificial intelligence for intelligent control and planning is already used by 40 percent of the companies. Another 38 percent are planning to implement such applications. Digital twins are in use at 45 percent and planned for another 26 percent. IoT platforms are also used by 45 percent of companies, with an additional 33 percent planning their introduction. Edge computing is among the technologies used for networking and processing data in production.

The results indicate that digital production concepts are increasingly becoming an integral part of industrial infrastructure.

Great potential for industrial energy management

Energy management is particularly relevant for Green IT. The Bitkom survey "Three-quarters of the industry miss AI opportunities" from 2025 shows that 85 percent of German industrial companies see significant opportunities for using AI in energy management. This area is therefore rated particularly positively among the investigated industrial application fields.

Edge systems can locally aggregate and evaluate machine, plant, and consumption data. This allows for the identification of load peaks, unusual consumption values, or inefficient operating phases. However, the hardware alone does not reduce energy consumption. It is crucial that concrete optimization measures or automated control processes are derived from the collected data.

Digitalization opens measurable savings potential

The accelerated digitalization offers the German industry a possible savings potential of 12.7 million tons of CO₂e by 2030. This is the conclusion of the Bitkom study "Climate effects of digitalization 2.0". About 9 million tons of CO₂e are attributed to the automation of production processes, and another 3.8 million tons to digital twins.

Industrial computer hardware supports the necessary collection, processing, and networking of machines, plants, and process data. It thus forms an important technical basis for automated control processes, digital twins, and data-driven measures for optimizing energy and resources.

Important application areas for Green IT

Energy management - capturing and controlling energy consumption transparently

Machine and consumption data can be continuously collected and analyzed. This enables comparisons of energy demand, load profiles, and operational states. Production processes can then be more closely aligned with actual demand.

Process optimization - optimizing production processes based on data

Edge systems process current production data directly on-site. Machine operating times, idle phases, and process parameters can be monitored and adjusted with appropriate system integration.

Predictive maintenance - monitoring machine conditions early

Condition data such as temperature, vibration, power consumption, or speed allow for early detection of deviations. Maintenance measures can be better aligned with the actual condition of a machine, potentially reducing unplanned downtimes and premature component replacements.

Quality control - detecting quality deviations directly in production

Camera and sensor data can be evaluated directly on the production line. Early detection of quality deviations can limit rejects, rework, and unnecessary material use.

Digital twins - virtually simulating and optimizing industrial processes

Operational data from machines and plants can be provided for virtual models. Digital twins support the simulation, analysis, and optimization of industrial processes before changes are made to the actual facility.

Matching edge systems to applications - demand-oriented and energy-efficient

Edge systems enable digital applications but also require energy and resources for their operation. The hardware used should therefore be sized according to the actual workload.

For simple collection, communication, and control tasks, an energy-efficient CPU platform may suffice. AI-supported image processing or more complex analyses may require an integrated NPU, a GPU, or a dedicated AI accelerator.

The following criteria are particularly relevant for the selection of suitable edge systems:

• required CPU, GPU, or NPU performance
• typical system load and power consumption
• machine, network, and fieldbus interfaces
• RAM and storage
• thermal design and environmental conditions
• expandability and long-term availability

Oversizing a platform can lead to unnecessary energy, cooling, and acquisition costs. On the other hand, an undersized solution can complicate later expansions and limit the service life.

Green IT solutions from Rosch Computer

Rosch Computer offers industrial edge computers, edge AI systems, embedded computers, and hardware components for the local processing of machine, sensor, and image data. Our consulting considers both the technical application and energy efficiency, as well as the product lifecycle. This includes the demand-oriented selection of CPU, GPU, and NPU platforms, the coordination of memory, interfaces, and power supply, as well as modular system concepts, individual BIOS settings, and product lifecycle management.

Find out how energy-efficient computer hardware, long-term use, and complementary services for Green IT can contribute on our topic page Act sustainably with Green IT.

Are you planning an application for energy management, predictive maintenance, quality control, or industrial edge AI? Rosch Computer supports you in selecting and configuring a suitable, energy-efficient, and long-term available hardware solution.

Contact us via email or call us at +49 6122 17071 50.

Sources: Bitkom: “Industry 4.0: How digital is Germany's industry?”, 2026; Bitkom: “Climate effects of digitalization 2.0”, 2024; Bitkom: “Three-quarters of the industry miss AI opportunities” (Press release from May 15, 2025, representative survey of 552 industrial companies)