China Haihui Technology's 1.6T Testing Services Cover Over 30 Manufacturers, with Market Share Exceeding 75%
2026-06-09 13:54
Favorite

en.Wedoany.com Reported - On June 3, at the 2026 China Optical Network Seminar held in Beijing, Zhou Jian, Product Director of Shanghai Haihui Technology Co., Ltd., delivered a speech titled "1.6T Testing in Practice: How to Empower the Industry to Accelerate?" Sharing practical experience, he highlighted the company's achievements in the 1.6T optical testing field. Haihui Technology has launched a complete testing solution for 1.6T optical module testing, making it the only domestic testing solution provider capable of supporting mass production of 1.6T products over the long term, with comprehensive performance matching or surpassing similar overseas products.

As the AI computing power wave drives digital infrastructure upgrades, optical communication has become the core foundation of intelligent computing. From high-speed optical modules and silicon photonic integration to CPO technology iterations, optical communication has transcended traditional communication boundaries. Optical testing, an indispensable part of the industry chain, once heavily relied on overseas suppliers but has achieved rapid development in recent years. Since ChatGPT ushered in the AI era in late 2022, the iteration speed of optical communication technology has accelerated, evolving from 400G optical modules to 800G. Entering 2026, 1.6T optical modules have entered the stage of large-scale commercial use. According to a report by market research firm LightCounting, shipments of 400G and above high-speed optical modules are expected to reach 100 million units in 2026, a year-on-year increase of nearly 70%.

1.6T represents a cross-generational technology upgrade, with the ultra-high speed of single-wave 200G imposing stringent requirements on product architecture design, high-speed signal processing, PCB processes, and device soldering. Addressing industry pain points, Haihui Technology took early action: before the IEEE 802.3dj protocol was finalized, it pioneered the launch of a mass-production-level 1.6T testing solution and continuously iterated protocol functions, covering the CMIS common management interface protocol; developed an in-house stress testing system to replicate real data center operating environments; created an "all-in-one" automated testing platform supporting second-level switching of business modes; and provided full-dimensional technical support from hardware and software to network applications.

In practice, Haihui Technology's core philosophy is "proactively identifying potential risks." Zhou Jian cited an example where an optical module manufacturer, after completing tests with a 1.6T BERT bit error rate tester and sending samples, encountered consecutive packet loss failures in the customer's network. After integrating Haihui Technology's protocol analyzer, the platform, based on real-world environment simulation, successfully located and resolved the issue, shortening the product verification cycle. Over the past year and a half, Haihui Technology has served over 30 leading industry manufacturers in 1.6T-related testing, covering the entire industry chain. In terms of testing efficiency, Haihui Technology has helped manufacturers triple the efficiency of small-batch sample testing for optical modules, achieved 100% coverage in packaging and testing of all types of DSP and optical chip solutions, and increased the detection rate of hidden issues by 40% compared to similar industry equipment.

Market data shows that Haihui Technology has led the high-speed optical testing track for three consecutive years, with a market share of over 75% for 400G/800G/1.6T network testers and protocol analyzers. According to statistics, the total AI-related capital expenditures of Amazon, Google, Microsoft, and Meta in 2026 are expected to reach $725 billion, a year-on-year increase of 77%. Haihui Technology has already laid out plans for 3.2T testing, closely following cutting-edge technologies such as NPO, XPO, and CPO to drive industry technology iterations.

This article is compiled by Wedoany. All AI citations must indicate the source as "Wedoany". If there is any infringement or other issues, please notify us promptly, and we will modify or delete it accordingly. Email: news@wedoany.com