The Convergence of Switches and AI: ZHENSHI Communications Leads the New Era of Intelligent Networking
Release time:
May 09,2025
With the in-depth application of AI technology in various industries, the network infrastructure is experiencing unprecedented changes. As the core equipment of the network, the switch, its technological evolution directly determines the efficiency of AI arithmetic and the quality of data transmission. In this paper, we will discuss the trend of the deep integration of switch technology and AI, analyze the strategic layout and technical advantages of ZHENSHI Communications in this field, and look forward to the future development direction of intelligent networks.
Switch Technology Evolution and AI Requirements
Traditional switches mainly bear the basic function of data forwarding, while the AI era puts forward higher requirements for network equipment. According to a research report by Everbright Securities, AI large model training has led to a significant increase in north-south traffic in data centers, driving a shift in network architecture from the traditional three-tier to the “Fat-Tree” architecture, with a concomitant increase in the number of switches in use. This change stems from three key characteristics of AI workloads:
High throughput requirements: large-scale AI training involves massive parameter synchronization, requiring high bandwidth support such as 400G/800G.
Low Latency Requirements: Distributed AI training is extremely sensitive to network latency, and microsecond latency has become a necessity.
Lossless transmission: Traditional Ethernet packet loss of 1/1,000 can result in up to 50% loss of AI power.
ZHENSHI communication keenly grasps this trend, and its industrial-grade switch product line has fully supported AI workload characteristics. Taking 1U industrial-grade switches as an example, the Gigabit AI Cloud Security Industrial PoE Switch not only has 24 Gigabit PoE ports and 2 Gigabit optical ports, but also effectively resists static electricity, lightning strikes and pulse interference. This high-reliability design is exactly the core requirement of AI edge computing scenarios.
Industrial-grade AI Switch Series
For the harsh industrial environment, AURORA Communications has developed a full series of industrial-grade AI switches with the following outstanding features:
Wide-temperature design: operating temperature range of -40℃~75℃, adapting to extreme environments
High protection level: IP40 protection, 6KV lightning protection, ±8kV contact discharge protection.
Intelligent management: supports cloud platform management mode, realizing centralized equipment management, three-end operation and nine core services.
Fast Ring Network: ERPS ring network self-healing time <30ms, ensuring business continuity.
These features make Zenith's industrial switches particularly suitable for AI edge computing scenarios such as intelligent transportation, energy and power, and industrial automation, providing a reliable network foundation for real-time data collection and processing.
Innovative Applications of AI Convergence with Switches
ZHENSHI's AI-enhanced switches have been successfully applied in many industries:
Intelligent Security Field
In large-scale security projects such as the Snow Project and Safe City, ZHENSHI's industrial PoE switches support up to four 30W PoE power supplies to meet the high power demand of AI cameras. Its Gigabit optical ports can realize long-distance video backhaul, while the local AI processing capability supports edge intelligent analysis, significantly reducing the load on the central server room.
Industrial Automation Scene
In intelligent manufacturing production lines, the <30ms ring self-healing capability of ZHENSHI's switches ensures real-time transmission of industrial robot control commands. At the same time, it supports IEEE 802.1Q VLAN and QoS policies, providing differentiated services for industrial AI services with different priorities.
Intelligent Transportation System
For highway and urban traffic management scenarios, Zenith switches are equipped with 6KV lightning protection and wide temperature characteristics to adapt to harsh outdoor environments. Its IGMP Snooping function optimizes multicast traffic, effectively supporting the multiple video distribution needs of AI video analysis systems.
Technical Challenges and Future Prospects
Although the integration of AI and switches has made significant progress, it still faces several challenges:
Energy Consumption Issues: AI computing and high-speed data transmission lead to rising power consumption, and heat dissipation design has become critical.
Protocol optimization: traditional TCP/IP protocol stack is difficult to meet AI communication needs, requiring extensive support from new technologies such as RDMA
Security risk: AI model parameters face the threat of theft and tampering during transmission.
ZHENSHI Communications is actively addressing these challenges
As new technologies such as 5G-A and Net5.5G mature, ZHENSHI Communications will continue to promote the in-depth integration of switches and AI to help the intelligent transformation of various industries. The company plans to fully integrate AI capabilities into all of its product lines in the next three years, creating an integrated network solution of “connectivity + computing + intelligence”.
As the core of network infrastructure, the integration of switches and AI technology is opening a new era of intelligent networks. Through the three-dimensional layout of industrial-grade AI switches, data center optimization solutions and intelligent management platforms, Zhenshi Telecom has taken a favorable position in this wave of transformation. In the future, with the continuous expansion of AI application scenarios, ZHENSHI will continue to deepen its technological innovation to provide global customers with smarter, more efficient, and more reliable network connectivity solutions, truly realizing the vision of “letting connectivity empower AI and letting AI optimize connectivity”.
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