Trong bối cảnh học trực tuyến, làm bài tập nhóm và nhu cầu in ấn tài liệu ngày càng tăng, việc sở hữu một chiếc máy in cá nhân đã trở thành lựa chọn cần thiết cho nhiều học sinh và phụ huynh. Tuy nhiên, giữa hàng trăm mẫu máy trên thị trường, đâu là lựa chọn phù hợp nhất?
The rapid development of Internet of Things (IoT) devices and 5G networks has driven exponential growth in data traffic, and traditional data centres are facing unprecedented pressure. Every second, hundreds of millions of devices generate and transmit huge data streams that need to be processed and stored quickly. However, when dealing with such a huge data load, traditional data centre architectures are gradually exposed to problems such as bandwidth bottlenecks, increased latency, and insufficient processing power. This dramatic growth in data flow is forcing traditional data centres to constantly adjust and upgrade to avoid becoming a constraint on the development of the digital age.
In the wave of digital transformation, edge computing is gradually becoming the core of enterprise technology strategy. The concept of edge computing originated from the development stage of cloud computing, which aims to transfer data processing from the central data centre to the edge of the network closer to the source of data generation. In this way, edge computing can reduce the delay of data transmission and improve real-time processing capabilities. It is particularly suitable for application scenarios with extremely high speed requirements such as the Internet of Things and autonomous driving.
Over the past decade, cloud computing has become the cornerstone of enterprise IT architecture, driving profound changes in digital transformation. By providing centralised data storage, computing resources and services, cloud computing enables enterprises to deploy and manage their applications at lower costs and with greater flexibility. However, with the rise of the Internet of Things (IoT), 5G networks and other emerging technologies, the exponential growth of data generation and processing requirements makes it difficult for centralised processing architectures that rely solely on cloud computing to meet performance requirements in specific scenarios, especially in terms of low latency, high bandwidth and real-time data processing.
As high-speed data center networks continue to expand, the demand for flexible, scalable, and cost-effective optical connectivity is reaching new heights. One common challenge is connecting devices with mismatched form factors and data rates—for example, linking a 100G QSFP28 port to a 25G SFP28 interface. In these cases, a QSFP28 to SFP28 adapter (also known as a converter or CVR) offers a simple and efficient solution without requiring a complete infrastructure overhaul.
As AI workloads, high-performance computing (HPC), and cloud-native applications continue to grow exponentially, modern data centers are facing unprecedented east-west traffic demands. While 100G Ethernet once served as a robust backbone for hyperscale and enterprise networks, it is now reaching its limits. Bottlenecks in throughput, latency, and scalability have become increasingly common—particularly in environments with GPU clusters or distributed storage systems.
As data centers grow in scale and complexity, legacy network architectures struggle to keep up with modern demands. FS PicOS® Data Center Switches offer a powerful solution—enabling scalable, automated, and easy-to-manage network infrastructures. This article will systematically analyze how PicOS® Switches help data centers achieve network upgrades and operational simplification from the perspectives of hardware, operating system, and automated management platform.
