Quality Fibre Channel Switch & Fibre Channel Director factory

The HBA Fibre Channel Card is one of the core products of Hengzheng Tongchuang. It is mainly used to connect servers and storage devices, acting as a "high-speed dedicated channel" in enterprise-level data storage networks. Unlike ordinary network cards, HBA cards focus on storage data transmission, enabling servers to quickly access fibre-optic storage networks and achieve high-capacity, highly stable data reading and writing. They are widely used in scenarios with extremely high requirements for data security and speed, such as finance, broadcasting, television and data centers. Hengzheng Tongchuang's HBA cards cover mainstream rates including 8G, 16G and 32G with strong compatibility, and can adapt to mainstream servers, storage switches and operating systems at home and abroad. The products feature stable transmission, low latency and strong anti-interference ability, effectively ensuring uninterrupted services. They also support domestic adaptation to meet the application needs of information technology innovation environments. In short, the HBA card is a "high-speed dedicated line" between servers and storage, making data transmission safer and more efficient. It is a key component for building reliable enterprise-level storage systems.

The optical module is a core component for high-speed communication between data centers, servers and switches, and it is also one of the main independently developed products of Hengzheng Tongchuang. Simply put, its function is to convert electrical signals from equipment into optical signals for long-distance transmission through optical fibers, and then restore them to electrical signals, achieving high-speed, stable and low-loss data interconnection. HengzhengTC optical modules launched by Hengzheng Tongchuang cover mainstream rates such as 1G, 10G, 25G and 100G, supporting single-mode, multi-mode and dual-fiber specifications to adapt to different transmission distances and scenarios. Featuring fast transmission speed, low signal attenuation and strong anti-interference ability, these products can meet the mass data transmission needs of cloud computing, big data, artificial intelligence and other scenarios. At the same time, this series of optical modules is designed in strict accordance with industry standards with strong compatibility, and can stably match mainstream switches and servers at home and abroad. For domestic information technology innovation needs, the products are further optimized in reliability and security, and are widely used in key fields such as data centers, finance, telecommunications and government. It can be said that the optical module is like a "high-speed optical fiber messenger" in the network world, making data transmission between devices faster, farther and more stable. It is an indispensable basic component of modern high-speed networks.

A server network card is a "high-speed channel" for servers to connect to the network, and it is also one of the core independently developed products of Hengzheng Tongchuang. Different from ordinary network cards used in daily computers, it is mainly designed for professional scenarios such as data centers, cloud computing, finance, and information technology innovation, undertaking the task of high-speed and stable transmission of massive data. HengzhengTC brand server network cards launched by Hengzheng Tongchuang cover mainstream rates including 1G, 10G, 25G, and 100G, which can meet the needs from small-scale services to ultra-large-scale data interaction. Adopting mature and stable master control schemes, these products feature low latency, high bandwidth, and strong anti-interference ability, effectively reducing the server CPU load and improving overall operating efficiency. In the meantime, this series of network cards is highly compatible with mainstream servers, switches and operating systems at home and abroad, with strong adaptability and easy deployment. For the needs of domestic information technology innovation, the company has also launched special versions with further optimized security and controllability, which are widely used in key fields such as government, enterprises and operators. In short, it is like a "high-speed network artery" of the server, enabling faster data transmission and more stable equipment operation, serving as a basic core component for building an efficient and reliable network environment.

Recently, NVIDIA released the NVQLink interconnect technology, which connects QPUs (quantum processing units) with GPUs. This technology has gained support from 17 quantum computing companies, 5 controller manufacturers, and 9 U.S. national laboratories, and will accelerate quantum error correction and hybrid simulation processes. At the same time, NVIDIA announced a collaboration with the U.S. Department of Energy to build 7 new AI supercomputers, one of which will be equipped with 10,000 Blackwell GPUs, driving advancements in computing power for scientific research and defense.   At the industry application level, NVQLink has demonstrated clear commercialization potential. In the field of drug development, quantum processors rapidly generate candidate molecular structures, while GPU clusters simultaneously carry out simulations and validations of millions of compounds, significantly shortening the new drug development cycle. In the financial sector, JPMorgan is testing a risk modeling system based on this technology, which combines quantum optimization algorithms with real-time GPU computing to improve the predictive accuracy in extreme market scenarios. In his speech, Jensen Huang emphasized: 'The breakthrough in quantum computing does not lie in improving the performance of QPUs alone, but in enabling efficient collaboration between quantum and classical computing power.' According to McKinsey, by 2030, quantum computing will generate over $1 trillion in economic value, with hybrid computing architectures taking the lead. With the rollout of NVQLink, NVIDIA is transforming from an AI computing power leader into a builder of the quantum ecosystem, driving the global computing industry into a new era of 'quantum-classical' synergy.

                                       When artificial intelligence (AI) moves from laboratories to the frontlines of industries, a transformation centered on efficiency, innovation, and value has quietly begun. In 2025, AI technology is no longer a "buzzword" floating above industries; instead, it has become a "core engine" deeply integrated into the entire chains of production, services, and decision-making, offering enterprises new possibilities to address pain points and open up new horizons. The AI wave in 2025 is no longer an exclusive game for industry giants. We adhere to a transformation path characterized by "high cost-effectiveness and smooth implementation". Whether it is small and medium-sized enterprises (SMEs) with limited budgets or large enterprises seeking end-to-end upgrades, all can achieve intelligent leaps through customized solutions. From integrating data to implementing scenario-based applications, and from making breakthroughs in specific areas to optimizing overall operations, we have always taken "empowering business with technology" as our core. This approach ensures that AI is not merely a tool for improving efficiency, but more importantly, a core competitive edge for enterprises to resist risks and seize opportunities. AI competition is no longer a matter of 'whether to deploy,' but a mandatory question of 'how to deeply integrate.' When intelligent agents become the 'infrastructure' of business operations, companies that can deeply link AI with business strategy and organizational management will inevitably seize the initiative in this industrial reshaping and lead the next growth cycle. As industry experts have said: 'After the technological dividend fades, the key to success lies in experience dividends and ecological dividends.' In today's world, where AI is reshaping business rules, only by actively embracing change and accurately grasping trends can intelligent technology truly become the core engine for enterprises to navigate cycles and sustain growth.

When artificial intelligence (AI) moves from laboratories to the frontlines of industries, a transformation centered on efficiency, innovation, and value has quietly begun. In 2025, AI technology is no longer a "buzzword" floating above industries; instead, it has become a "core engine" deeply integrated into the entire chains of production, services, and decision-making, offering enterprises new possibilities to address pain points and open up new horizons. The AI wave in 2025 is no longer an exclusive game for industry giants. We adhere to a transformation path characterized by "high cost-effectiveness and smooth implementation". Whether it is small and medium-sized enterprises (SMEs) with limited budgets or large enterprises seeking end-to-end upgrades, all can achieve intelligent leaps through customized solutions. From integrating data to implementing scenario-based applications, and from making breakthroughs in specific areas to optimizing overall operations, we have always taken "empowering business with technology" as our core. This approach ensures that AI is not merely a tool for improving efficiency, but more importantly, a core competitive edge for enterprises to resist risks and seize opportunities. AI competition is no longer a matter of 'whether to deploy,' but a mandatory question of 'how to deeply integrate.' When intelligent agents become the 'infrastructure' of business operations, companies that can deeply link AI with business strategy and organizational management will inevitably seize the initiative in this industrial reshaping and lead the next growth cycle. As industry experts have said: 'After the technological dividend fades, the key to success lies in experience dividends and ecological dividends.' In today's world, where AI is reshaping business rules, only by actively embracing change and accurately grasping trends can intelligent technology truly become the core engine for enterprises to navigate cycles and sustain growth.

Recently, NVIDIA released the NVQLink interconnect technology, which connects QPUs (quantum processing units) with GPUs. This technology has gained support from 17 quantum computing companies, 5 controller manufacturers, and 9 U.S. national laboratories, and will accelerate quantum error correction and hybrid simulation processes. At the same time, NVIDIA announced a collaboration with the U.S. Department of Energy to build 7 new AI supercomputers, one of which will be equipped with 10,000 Blackwell GPUs, driving advancements in computing power for scientific research and defense.   At the industry application level, NVQLink has demonstrated clear commercialization potential. In the field of drug development, quantum processors rapidly generate candidate molecular structures, while GPU clusters simultaneously carry out simulations and validations of millions of compounds, significantly shortening the new drug development cycle. In the financial sector, JPMorgan is testing a risk modeling system based on this technology, which combines quantum optimization algorithms with real-time GPU computing to improve the predictive accuracy in extreme market scenarios. In his speech, Jensen Huang emphasized: 'The breakthrough in quantum computing does not lie in improving the performance of QPUs alone, but in enabling efficient collaboration between quantum and classical computing power.' According to McKinsey, by 2030, quantum computing will generate over $1 trillion in economic value, with hybrid computing architectures taking the lead. With the rollout of NVQLink, NVIDIA is transforming from an AI computing power leader into a builder of the quantum ecosystem, driving the global computing industry into a new era of 'quantum-classical' synergy.