"Small but complete, and the more computing power, the better."

"It needs to be able to stand alone and team up for battle."

"It should be easy to install, not just a fancy pillow, and able to handle extreme environments."

In recent years, as 5G technology has gradually become commercialized and the explosion of artificial intelligence technology is driving the acceleration of computing power sinking to the edge, Gartner predicts that by 2025, 75% of data will be generated and processed outside of data centers and the cloud, at the edge. Edge computing, once considered a supporting role, is increasingly standing out in various scenarios and taking on significant responsibilities.

In contrast to the core data center, which faces bottlenecks and challenges due to the increasingly massive scale, complex data types, and tremendous growth in data volume, edge computing is closer to the data source and user location. With the extension of computing power demands from data centers to the edge, edge computing has rapidly developed, becoming a core component of cloud-edge-end systems. It reduces bandwidth and latency losses caused by network transmission and multilevel forwarding, as well as lowering data storage and transfer costs.

With the explosion of artificial intelligence technology, the edge has become the optimal place for machine learning, training, and inference. Edge servers, with their flexible internal configurations, can serve as computational extensions of data centers, especially for high-performance tasks, optimizing data processing and sharing between data centers and local models. Additionally, they enhance data security and privacy. Due to the distributed nature of edge computing, it also serves as an excellent backup storage server. Even in the event of a data center or cloud failure or attack, edge servers can maintain local network functionality and ensure that stored data is not lost, which is crucial for applications in healthcare or critical control systems.

Edge Computing AII in One

In IoT, connected vehicles, and scenarios requiring low-latency real-time interaction, edge computing enables real-time responses, avoiding the negative impacts of network interruptions or delays. It stores large amounts of data locally for real-time access, effectively achieving millisecond-level response and real-time processing. Edge servers can provide advanced data analysis, context awareness, real-time decision-making, and other intelligent services.

In intelligent security, for smart parks, communities, and factories seeking improved operational efficiency, deploying an edge server to create an integrated intelligent security platform can analyze video content in real-time, automatically detect abnormal information, and provide real-time environment monitoring, device monitoring, fault reporting, and data analysis, significantly reducing operational burdens.

In cost-sensitive areas such as industrial production and quality inspection, edge computing creates an integrated AOI detection process, achieving a process that is imperceptible to the detection process. It automatically sorts good and defective products, effectively shortening the overall production cycle and improving product quality. Edge servers play a crucial role in real-time image processing and data analysis in intelligent production processes.

In fields requiring high data security, such as healthcare, finance, and government, using edge servers to save all data locally avoids unexpected leaks caused by unstable public clouds. It provides robust security features such as data encryption, identity authentication, and access control, enhancing the protection of sensitive data.

Gooxi Edge Servers

As a leading server solution provider in China, Gooxi continuously introduces high-performance, secure, and flexible edge servers. Leveraging platforms from AMD, Intel, and Hygon, Gooxi offers cost-effective edge server products and services, significantly improving operational efficiency and effectively reducing server TCO.

• Flexible Expansion

Gooxi edge servers feature modular design with 16 DIMM memory slots and flexible expansion through rear windows, supporting up to 10 PCIe slots. Different PCIe slots enable flexible and rich GPU configuration options, including support for two full-size GPU cards and multiple inference cards in half-height slots.

• Low Power Consumption

Compact with a depth of only 450mm, Gooxi edge servers are easy to deploy and install. They utilize 1+1 redundant platinum-level efficiency power supplies and high-speed, low-power intelligent temperature control fan modules to optimize power management.

• Multi-platform

Gooxi offers edge servers based on Intel, AMD, and Hygon platforms, meeting the diverse requirements of different application domains. Compliant with the OTII standard, these servers are easy to deploy and suitable for telecom services, security, data processing, enterprise markets, testing equipment applications, and domestic scenarios.

In the face of diverse and scenario-specific application requirements for enterprise digital transformation and reshaping processes, Gooxi will continue to launch high-performance server products. This aims to enhance the flow of data between edge computing and the cloud, meeting user needs in the simplest, most cost-effective way and promoting better integration of server products with enterprise business and applications.