Industrial

Cervoz unleashes the power of Edge computing

20th May 2024
Paige West
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Today's businesses rely on IoT insights in a data-rich environment. As AI and 5G expand, data volumes strain traditional Cloud computing. Edge computing processes data at its source, speeding up insights and reducing latency, crucial for applications like digital twins, autonomous vehicles, and smart healthcare.

What is Edge computing?

Edge computing is a decentralised IT architecture that processes data near its origin, often at the network's Edge. This approach divides tasks from central data centres to Edge devices and nodes. Typically, an Edge computing system comprises three layers: Device, Edge, and Cloud.

The device layer

The device layer, closest to the physical world, includes endpoint devices like sensors, controllers, and cameras. This layer focuses on data collection and initial processing to ensure real-time responses and efficiency. It requires reliable, space-and-energy-efficient components. M.2 2230 and 2242 NVMe SSDs and SO-DIMM DDR4 DRAM  enhance this setup with quick data access and efficient storage in compact designs. These components need to operate reliably in a wide temperature range and feature additional coating and anti-vibration filling for improved performance in harsh conditions.

The Edge layer

The Edge layer, comprising Edge servers and gateways, bridges device-layer data and Cloud operations. It handles extensive data filtering and analytics, focusing on real-time processing and responses to reduce dependence on distant data centres. Components must support high processing loads with low latency and high stability.  NVMe PCIe Gen3 SSDs, with compact M.2 form factors, LDPC ECC technology, and DRAM cache buffer, are ideal. These SSDs ensure efficient directory management and error correction during rapid data transfers, thus improving data accuracy, reliability, and operation stability.

The Cloud layer

The Cloud layer handles intensive processing and long-term data storage, performing analytics, operating AI and machine learning, and managing data across Edge nodes. It requires high-performance, reliable components. NVMe PCIe Gen4x4 SSDs, such as the Cervoz T441, with speeds up to 7,100/6,190MB/s and 1,000K IOPS, are ideal for optimal performance in this layer. Meanwhile, they are usually required to address overheating common in high-performance computing with solutions like heatsinks and thermal throttling technology.

Interlayer connectivity

Reliable, low-latency network connectivity is crucial as data flows between the device layer, Edge, and Cloud. 10GbE Low-Profile Ethernet Card provides high-speed, stable wired connections in high-bandwidth, low-latency environments. Additionally, the PCIe Compact Low-Profile Ethernet Card is ideal for narrow Edge device enclosures. For areas where wiring is impractical, M.2 Wi-Fi cards offer essential wireless flexibility. These connectivity options ensure a solid foundation for seamless data management across all layers.

Cervoz provides comprehensive Edge computing solutions, including compact NVMe SSDs, DRAM modules, and advanced modular expansion cards for seamless integration and optimised performance. For more information, contact us at sales@cervoz.com.

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