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IoT
One of the new challenges arising with the use of edge, fog, and cloud architectures is the connection of components to each other and to the public cloud. An important element of developing a solution capturing all pieces is the IoT framework susietec
At the field, or edge level, data is collected by industrial computers, e.g. by gateways, which process, filter, analyze and act on these data in real-time right at the device.
Edge, fog and cloud applications demand increasing computing power. The interfaces to sensors or machines often require non-standard solutions. Especially in smaller machines, space is limited or restricted in some dimension and need a special solution.
Today, the connection from the sensor device to the embedded cloud takes place via real-time data communication, on sensor and edge level - for example Industrial Ethernet or fieldbuses - and gateways , which provide the transformation of real time data into the informational area.
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Kontron CG2500 | Fastest & Quietest Edge AI Server on the Market
Based on independent benchmarking, the Kontron CG2500 is the fastest and quietest edge AI server on the market today. Engineered for AI-driven genomics and medical imaging, the CG2500 delivers up to 3× higher throughput while maintaining low acoustic levels suitable for laboratory and clinical environments. This enables deployment directly at the point of data generation—without noise, throttling, or thermal instability. Designed for regulated medical workflows, the CG2500 processes compute-intensive workloads such as DNA sequencing, AI inference, and medical imaging reconstruction locally at the edge. This reduces latency, preserves data locality, and minimizes reliance on centralized or cloud-based infrastructure.
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