FAQ
Frequently Asked Questions – Quick Answers
AI infrastructure comprises data centers and IT systems designed for AI applications. This includes high-performance GPU servers, high-speed networks, and cooling and power systems capable of handling high power densities. This infrastructure enables the training and operation of AI models.
AI workloads require significantly more computing power than traditional IT applications. This leads to increased power consumption, heat generation, and data traffic. As a result, data centers designed for AI are engineered to handle high rack power densities, high-performance cooling, and fast networks.
Modular data centers consist of prefabricated infrastructure modules. These modules already include power supply, cooling, security systems, and rack infrastructure. They are delivered as ready-to-use units and installed on-site.
Modular data centers enable shorter project timelines and a clear scaling strategy. Additional modules allow IT capacity to be expanded incrementally. At the same time, costs and infrastructure performance can be planned more effectively.
Edge computing refers to the processing of data close to where it is generated. Instead of transmitting data exclusively to central data centers, it is analyzed or processed locally. This reduces latency and allows applications to respond more quickly.
Edge computing is frequently used in industrial facilities, manufacturing environments, telecommunications networks, and smart city infrastructures. Applications such as autonomous systems, IoT platforms, and real-time data analysis also rely on edge infrastructure.
Edge modules are compact data center units designed for remote locations. They contain the complete infrastructure required for IT systems, including power supply, cooling, security, and rack infrastructure.
Modular data centers can be expanded with additional infrastructure modules. Multiple modules can be connected to form larger data center units or data center clusters.
Energy efficiency is a key factor in the operation of data centers. Modern infrastructure relies on efficient cooling technology, optimized power distribution, and intelligent control systems. The goal is to ensure stable operation while minimizing energy consumption.
Several technological developments are transforming data center infrastructure:
- Modular designs
- High-performance computers for AI and data analysis
- New cooling technologies for high power densities
- Edge computing for decentralized data processing
- Automated infrastructure and monitoring systems
These developments are leading to more flexible, more powerful, and more energy-efficient data centers.