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MAAS Subsidiary, Huazhi Future, Explores Green AI Computing Collaboration with Xinjiang Delegation and CGN

Maase (NASDAQ: MAAS) announced that subsidiary Huazhi Future hosted a delegation from Jimunai County, Altay Prefecture, Xinjiang, and China General Nuclear Power Group (CGN) to explore cooperation in green energy and AI intelligent computing infrastructure.

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Maase (NASDAQ: MAAS) announced that subsidiary Huazhi Future hosted a delegation from Jimunai County, Altay Prefecture, Xinjiang, and China General Nuclear Power Group (CGN) to explore cooperation in green energy and AI intelligent computing infrastructure.

Discussions covered Huazhi Future’s distributed intelligent computing centers, vertical AI solutions, and its new Star Distributed Intelligent Computing Center Project, focused on rapid deployment, energy efficiency, and regional industrial applications in western China.

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Argus May 19 session
+7.56% close to close Open Argus
Details

News Market Reaction – MAAS

In the May 19 session, MAAS gained 7.56%, reflecting a notable positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

The stock moved +7.6% in the session following this news. A strong positive reaction aligns with MAA...
Analysis

The stock moved +7.6% in the session following this news. A strong positive reaction aligns with MAAS’s history of gains following Huazhi-related AI initiatives, such as prior Huazhi acquisitions and the Stars project that saw moves of up to 11.76%. However, investors have also seen occasional divergences, as with the charging robots update. With shares already above the $5.16 200-day MA but far below the $20.89 52-week high, sustained strength would have depended on continued execution of these distributed computing and green energy plans.

Key Figures

Planned project investment: RMB5 billion Build schedule: 60 months Yinchuan servers: 512 servers +5 more
Planned project investment
RMB5 billion
Stars Distributed Intelligent Computing Center plan (Apr 22, 2026)
Build schedule
60 months
Stars Distributed Intelligent Computing Center plan
Yinchuan servers
512 servers
Dual-core data center in Yinchuan
Yiwu servers
256 servers
Dual-core data center in Yiwu, Xinjiang
Edge node capacity
4000P
First deployed edge node in Lengshui Town, Chongqing
Outstanding shares
442,175,578 shares
Post-acquisition share count as of Mar 30, 2026
Acquisition value
RMB1.1 billion
Consideration for Times Good/Huazhi acquisition
Cash component
US$26,000,000
Cash portion of Times Good/Huazhi acquisition

Historical Context

5 past events · Latest: Apr 22
5 events
  1. Apr 22

    AI infra project

    24h Move
    +11.8%

    Launch of Stars Distributed Intelligent Computing Center with up to RMB5B spend.

  2. Mar 31

    Acquisition close

    24h Move
    +6.8%

    Completion of Huazhi Future acquisition to build full-stack AI capability.

  3. Mar 26

    Product deployment

    24h Move
    -0.2%

    Delivery of 20 mobile charging robots expanding into Southwest China.

  4. Jan 23

    Acquisition agreement

    24h Move
    +3.2%

    Agreement to acquire Times Good/Huazhi for RMB1.1B in shares and cash.

  5. Nov 28

    Board change

    24h Move
    +4.6%

    Appointment of new chairman with background in environmental and new energy.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

distributed intelligent computing centers, intelligent computing infrastructure, AI computing centers
3 terms
distributed intelligent computing centers technical
"outlined Huazhi Future’s strategy for developing distributed intelligent computing centers"
Distributed intelligent computing centers are networks of computing facilities spread across multiple locations that run advanced software to process data and make automated decisions close to where the data is generated. Like shifting from one central kitchen to many neighborhood kitchens, they reduce delays, improve reliability, and scale capacity for tasks such as artificial intelligence, analytics, and real‑time services; for investors this affects cost structure, growth potential, regulatory exposure, and competitive advantage.
intelligent computing infrastructure technical
"to explore collaboration in green energy and intelligent computing infrastructure"
A connected system of data centers, networks, servers and software that uses automation, artificial intelligence and advanced analytics to run, manage and optimize computing tasks. For investors, it matters because it can lower operating costs, speed product development and enable new services—like upgrading a factory with smart machines—so companies with stronger intelligent computing infrastructure often scale faster, face lower technical risk and can gain competitive advantage.
AI computing centers technical
"combining green energy and AI computing centers to the public"
AI computing centers are specialized data centers built to run large-scale artificial intelligence workloads, housing powerful processors, cooling systems and high-speed networks—think of them as power plants and highways for AI models. They matter to investors because they require big upfront spending and ongoing energy and maintenance costs, but can generate steady revenue through cloud services or proprietary AI products and create a competitive edge for companies that control capacity and efficiency.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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QINGDAO, China, May 19, 2026 (GLOBE NEWSWIRE) -- Maase Inc. (NASDAQ: MAAS) (“MAAS” or the “Company”), an integrated provider and operator of an AI-centric full-scene digital systems, today announced that its subsidiary, Huazhi Future (Chongqing) Technology Co., Ltd. (“Huazhi Future”), hosted a high-level delegation from the investment promotion team of Jimunai County, Altay Prefecture, Xinjiang and representatives from China General Nuclear Power Group (“CGN”), to explore collaboration in green energy and intelligent computing infrastructure.

During the meeting, Mr. Qiang Zeng, General Manager of Huazhi Future, outlined Huazhi Future’s strategy for developing distributed intelligent computing centers and vertical AI solutions. He highlighted that Huazhi Future is accelerating the integration of “compute-power + energy” through standardized, modular infrastructure, enabling rapid deployment and efficient delivery of AI computing resources while expanding industry-specific AI solutions and operational services.

Additionally, Mr. Zeng introduced Huazhi Future’s recently launched “Star Distributed Intelligent Computing Center Project,” highlighting its features of rapid deployment and energy-efficiency, which can provide flexible and scalable computing support for regional industries.

The parties also discussed green energy utilization, AI computing center development and potential cooperation in relevant areas.

“This engagement introduces our compute-energy synergy model combining green energy and AI computing centers to the public. Future cooperation will advance implementation of our node strategy in western region of China. There will be opportunities for distributed AI computing center development and industrial applications in the region,” said Mr. Zeng, General Manager of Huazhi Future.

About Maase

We are an integrated provider and operator of an artificial intelligence (“AI”) -centric full-scene digital systems. Our businesses focus on areas of flexible energy deployment and intelligent commercial network operation, and provide closed-loop solutions from computing infrastructure, smart hardware and full-scene services, aiming to achieve large-scale implementation of AI technologies across industries. Powered by our dual engines of intelligent technology and ecosystem integration, through strategic industry consolidation and continuous improvement in operations, our mission is to build up an open and collaborative industrial ecosystem and provide our customers with efficient, reliable and sustainable intelligent products and solutions. We will continuously explore and consolidate high-quality technological and commercial resources globally and explore industrial application scenarios of AI technologies.

Forward-Looking Statements

This press release contains forward-looking statements as defined by the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements concerning plans, objectives, goals, strategies, future events or performance, and underlying assumptions and other statements that are other than statements of historical facts. When MAAS uses words such as “may”, “will”, “intend”, “should”, “believe”, “expect”, “anticipate”, “project”, “estimate” or similar expressions that do not relate solely to historical matters, it is making forward-looking statements. Forward-looking statements are not guarantees of future performance and involve risks and uncertainties that may cause the actual results to differ materially from MAAS’s expectations discussed in the forward-looking statements. These statements are subject to uncertainties and risks including, but not limited to, the following: MAAS’s goals and strategies; MAAS’s future business development; product and service demand and acceptance; changes in technology; economic conditions; reputation and brand; the impact of competition and pricing; government regulations; fluctuations in general economic and business conditions in China and the international markets MAAS serves and assumptions underlying or related to any of the foregoing and other risks contained in reports filed by MAAS with the Securities and Exchange Commission. For these reasons, among others, investors are cautioned not to place undue reliance upon any forward-looking statements in this press release. Additional factors are discussed in MAAS’s filings with the U.S. Securities and Exchange Commission, which are available for review at www.sec.gov. MAAS undertakes no obligation to publicly revise these forward-looking statements to reflect events or circumstances that arise after the date hereof.



For more information, please contact:
Investor Relations
Phone: +86-532-66030885
Email: ir@maaseai.com
Maase Inc.

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What collaboration is Maase (NASDAQ: MAAS) exploring with CGN and the Xinjiang delegation?

Maase subsidiary Huazhi Future is exploring cooperation on green energy-powered AI computing centers with CGN and a Jimunai County delegation. According to Maase, discussions focused on integrating clean energy with intelligent computing infrastructure and potential regional industrial applications.

What is Huazhi Future’s Star Distributed Intelligent Computing Center Project for MAAS?

The Star Distributed Intelligent Computing Center Project is Huazhi Future’s modular, rapid-deployment AI computing infrastructure initiative. According to Maase, it targets energy-efficient, flexible, and scalable compute capacity to support regional industries and distributed AI applications across western China.

How does Maase’s Huazhi Future plan to integrate green energy with AI computing?

Huazhi Future plans to integrate “compute-power + energy” using standardized, modular infrastructure. According to Maase, this approach aims to pair green energy sources with intelligent computing centers, improving deployment speed, energy efficiency, and delivery of AI computing resources for industry-specific solutions.

What was discussed during Huazhi Future’s May 19, 2026 meeting with the Xinjiang delegation?

The meeting covered green energy utilization, AI computing center development, and possible cooperation areas. According to Maase, Huazhi Future presented its distributed intelligent computing strategy and node expansion plans in western China, including potential industrial applications of AI computing centers.

What does the Xinjiang collaboration mean for Maase’s AI node strategy?

The Xinjiang engagement supports Maase’s western China node strategy by introducing its compute-energy synergy model locally. According to Maase, potential cooperation could create opportunities for distributed AI computing centers and related industrial applications across the region over time.

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