Hong Kong Stock's Computing Power Giant Emerges: Yuegang Bay Holdings, Owning a Token Super Factory with Over 40,000 P Computing Power

1. The震撼 of 40,000P+ of total compute: Redefining the cap on Hong Kong Stock compute capacity by scale

In an era where AI large models and intelligent agents are surging forward at full speed, “compute power is power” has become an equally important national strategic resource as energy and food. The scale of compute capacity directly determines the ceiling of an enterprise’s level of intelligence. The performance report delivered by Yue Gangwan Holdings’ 2025 annual report is most astonishing not because of the figures showing new business performance and explosive growth in profitability, but because of the scarcity and dominance behind its stable operation of over 42,000P FP16 (dense) compute capacity.

International tech giants are racing to build AI compute infrastructure fields:

PwC’s estimates show that by 2030, the total economic impact of AI solutions on the world will reach $2.23 trillion, becoming a core driving force behind global economic growth. In terms of capital investment, the four major tech giants—Microsoft, Google, Amazon, and Meta—dominate the global capital competition for compute infrastructure. The annual AI-related capital expenditures of each company exceed $50 billion, accounting for more than 70% of all new data center investment worldwide, forming a concentrated capital structure at the top.

Benchmarking national-level hubs:

By the end of 2025, the more than 42,000P of stable, chargeable compute capacity held by Yue Gangwan Holdings is already comparable to the core of the Yangtze River Delta hub of China’s national “East Data to West Compute” (“东数西算”) project (Wuhu cluster). According to publicly available information, by the end of 2025, the intelligent compute scale truly put into operation across the country in multiple provinces is mostly in the range of a few thousand P to 20,000P. This means that the compute capacity scale of a Hong Kong-listed company has already reached the level of a national compute hub.

Nearly ten times the entire scale of Hong Kong:

Taking Hong Kong, the international financial hub, as an example, according to disclosures publicly released by Hong Kong’s Innovation, Technology and Industry Bureau, the total compute capacity of all sectors in Hong Kong is currently about 4,000~5,000P. That is to say, the compute scale operated by Yue Gangwan Holdings is approximately ten times the sum of Hong Kong’s existing total compute capacity, demonstrating overwhelming advantages in resource concentration.

Token production capacity dominance:

As China’s daily average AI Token call volume breaks through 140 trillion, Yue Gangwan Holdings’ investment of over 42,000P of compute capacity into AI inference and training gives it a theoretical maximum Token daily production capacity that accounts for a substantial share of the nation’s total consumption. In the Hong Kong stock market, it is an unquestionable “Token super factory” production capacity dominance.

2. A hard-core moat: not “telling a story,” but a “money-printing machine”

NVIDIA’s GTC conference this year directly doubled its forecast for future AI infrastructure demand from $500 billion to $1 trillion. Its market cap has held steady at $445 billion. Wall Street has directly said: the target is $600~$880 billion.

This is not a technology product launch—it’s a re-pricing meeting for the global compute power industry chain.

Chips are not just hardware; they are a money-printing machine. Tokens are not just code; they are a new major commodity.

Unlike many AI concept stocks in the market that are still “painting cakes and telling stories,” Yue Gangwan Holdings’ compute businesses have already entered a phase of substantial gains. Through the full acquisition of Tiandon Data, the company not only completes its technical positioning, but also forms extremely high industry barriers by leveraging the supply chain, delivery capabilities, and the scale of capital investment. At the same time, it serves many internet technology enterprises, financial industry customers, and carrier customers, locking in the certainty of revenue, profits, and growth over the next few years.

1. Order lock-in for the future: a real performance moat Billion-level order pool: The company currently has more than RMB 15 billion worth of intelligent compute service orders, entering a stable operation and billing period. Customers with very high quality: It serves over 200 customers, including telecom operators, large internet enterprises, top cloud service providers, financial industry clients, and top players in large-model vendors. The contract terms range from 1 to 5 years, meaning the company’s cash flows for the coming years are already basically locked in, with very high performance certainty.

2. Full-capacity operations: the industry’s scarce “full rack-up rate” Against the backdrop of volatility in the industry’s average rack-up rate, the multiple IDC data centers operated by Yue Gangwan Holdings have maintained a stable rack-up rate of 95%~100%, nearly a “full rack-up rate.” This single metric directly confirms the extreme scarcity of its compute resources and the imbalance between supply and demand. In a situation where it is “hard to get capacity,” such an almost fully loaded operational state is the toughest growth backing.

3. The future looks promising: from a “compute power leasing landlord” to an “eco** builder”**

Yue Gangwan Holdings’ strategic ambition goes far beyond simply being a straightforward “compute power leasing landlord.” As the company is set to be included in the MSCI China Small Cap Index in February 2026, and is also planning to change its name to “Yue Gangwan Intelligent Compute Technology Co., Ltd.,” the company is sending strong technology-oriented signals to the market.

**Technological elevation: **By the end of 2025, the company launched the “Quantum Pu” compute cloud service dispatch and scheduling platform, enabling unified compute management across regions, across chips, and across cloud environments. At the same time, it rolled out a developer platform for AI small and medium enterprises and “OPC (one-person companies)” that covers services such as flexible use of compute, API calls for various models, and open-source datasets. It also actively incubates in fields including innovative drug R&D and AIGC creation. This not only improves resource utilization efficiency, but also builds a whole-chain “Token super factory” with a strong cost advantage. More importantly, it completes the entire chain from bottom-layer leasing to top-layer applications, laying the feasibility and limitless possibilities for the company’s development strategy and upgrades in business model.

Ecosystem expansion: Building a full-industry compute ecosystem. Through cooperation with Huagong Technology’s optical modules “full-stack” offering, and strategic partnerships with industry leaders such as Huawei and Run Sixchi, along with measures such as appointing Dr. Qian He, a Tsinghua University expert in “in-memory computing with storage,” as an independent director, the company’s business footprint is also accelerating its expansion from core cities in the Greater Bay Area to overseas markets such as Southeast Asia. Yue Gangwan Holdings is building a large compute ecosystem circle, and is firmly pursuing a multi-tiered technology development path.

[Conclusion]

NVIDIA, with a single GTC, tells the world: the future wealth formula is compute power × Token = cash flow. Chips are no longer a cyclical stock; they are a growth stock. NVIDIA is no longer just a chip company—it is the world’s largest “compute bank.” In 2026, when AI compute demand explodes exponentially, for investors, what they look at in chip stocks and compute power stocks is compute capacity production, Token output, and order lock-in rate. While the market is still searching for high-return and high-certainty targets, this “Token super factory” of Yue Gangwan Holdings has finally thrown open the throttle and surfaced.