Advantages of Edge Device
Lower latency: By processing data locally, edge devices minimise the time it takes to transfer data to and from the cloud. This near-instantaneous response time is critical for time-sensitive applications such as autonomous vehicles, industrial automation and real-time analytics.
Increased security: Edge devices offer more security by reducing dependency on cloud-based data processing. Sensitive data can be processed and stored locally, reducing the risk of data breaches and ensuring compliance with data protection regulations.
Bandwidth optimisation: With Edge Devices, only important data is sent to the cloud, reducing the amount of data transmitted over the network. This optimisation leads to better bandwidth utilisation and cost savings, especially in scenarios where network connectivity is limited or expensive.
Offline functionality: Edge devices continue to function when disconnected from the cloud, ensuring uninterrupted operation in remote locations or during network outages. This feature is critical for critical applications that cannot afford downtime.
The role of edge devices in the IoT: As the Internet of Things (IoT) continues to expand, edge devices play a critical role in its growth and success. They act as a bridge between the physical and digital worlds, enabling the collection, processing and analysis of data from connected devices. By using edge devices in IoT ecosystems, companies can gain real-time insights, reduce data transmission costs and improve overall system performance.
DeviceEdge - AI systems for industry
Our product range includes immediately available AI computing devices based on these ingenious supercomputer cores. DeviceEdge features a palm-sized and flexible configuration design, board-level support and an application-oriented starter package. With the goal of reducing development time and meeting the needs of our customers in industrial automation, medical, retail, transportation, automotive, security, gaming and machine learning.