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Maase Inc. Signs RMB 76.8 Million AI Computing Services Agreement to Provide 450P-Class High-Performance Computing Infrastructure

Maase’s Huarong Future unit secured a RMB 76.8 million, 12‑month AI computing contract that management links to longer-term service monetization.

(Moderate)
(Very Positive)
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AI

Maase (MAAS) announced that subsidiary Huarong Future signed a twelve-month enterprise computing services agreement with Beijing VirtAI Technology worth RMB 76.8 million.

The cluster is designed to deliver over 450P FP16 computing power under non-sparse conditions to support large language model training, inference, and other AI workloads. Huarong Future will also provide technical consulting and ongoing operational support across hardware, equipment, and system platform layers. Management said the deal advances MAAS’s shift from project-based work to longer-term, large-scale service contracts and helps clarify monetization for its computing services business.

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Positive

  • RMB 76.8 million computing services contract over a 12‑month term
  • High-performance cluster delivering over 450P FP16 computing power
  • Management highlights shift toward long-term, large-scale service contracts

Negative

  • None.

Market Context

3.48% was MAAS’s pre-publication 24-hour gain, while provided volume was 0.49x its 20-day average. T...
Analysis

3.48% was MAAS’s pre-publication 24-hour gain, while provided volume was 0.49x its 20-day average. The comparable Sep 1 computing-services announcement was followed by a 0.06% move.

Key Figures

Aggregate contract value: RMB 76.8 million Contract term: twelve months FP16 computing power: over 450P
Aggregate contract value
RMB 76.8 million
12-month computing services agreement
Contract term
twelve months
Computing services agreement
FP16 computing power
over 450P
Non-sparse conditions

Previous AI Reports

2 past events · Latest: Sep 01
Same Type 2 events
  1. Sep 01

    Computing services contract

    24h Move
    +0.1%

    Signed a 12-month AI computing contract with defined capacity and technical support

  2. Aug 11

    Computing contract delivery

    24h Move
    +0.7%

    Completed delivery, client acceptance, and received full payment for computing services

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

Key Terms

fp16, large language model, inference, high-performance computing
4 terms
fp16 technical
"over 450P of FP16 computing power under non-sparse conditions"
fp16 is a 16‑bit computer number format used to represent decimal values with less precision than standard 32‑bit numbers, trading some accuracy for much smaller memory use and faster math operations. For investors, fp16 matters because it lets chips and software run large AI and data workloads more cheaply and quickly—like packing twice as many grocery items into the same cart—affecting demand, performance claims, power use and unit costs across semiconductors, cloud services and AI-focused companies.
large language model technical
"supporting large language model training, inference, and other"
A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.
inference technical
"large language model training, inference, and other high-performance"
Inference is the process of drawing a conclusion from available evidence or data, like a detective piecing together clues to form a likely story. For investors it matters because these judgments turn raw reports, test results, or market signals into expectations about future performance, risk, or regulatory outcomes—so how someone infers from the same facts can change investment decisions and valuation.
high-performance computing technical
"enterprise-grade high-performance computing services"
A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.

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

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QINGDAO, China, Sept. 15, 2026 (GLOBE NEWSWIRE) -- Maase Inc. (NASDAQ: MAAS) (“MAAS” or the “Company”), an artificial intelligence (“AI”)-centric full-scene digital systems provider and operator, today announced that its subsidiary, Huarong Future (Sichuan) Technology Co., Ltd. (“Huarong Future”), entered into a computing services agreement recently, with Beijing VirtAI Technology Co., Ltd. (“VirtAI Tech”) for enterprise-grade high-performance computing services. The agreement has a twelve-month term with an aggregate contract value of RMB 76.8 million.

Technical Delivery Standards and Service Overview

The cluster is designed to deliver over 450P of FP16 computing power under non-sparse conditions, capable of supporting large language model training, inference, and other high-performance AI workloads.

In addition to provisioning computing capacity, Huarong Future will provide technical consulting and ongoing operational support, covering troubleshooting at the underlying hardware, equipment, and system platform layers. By integrating computing resources, platform operations, and continuous technical support, Huarong Future aims to provide stable and reliable infrastructure for enterprise customers.

Management Commentary

Dr. Zhifeng Li, the Chief Technology Officer of MAAS, commented: “This partnership with VirtAI Tech represents an important step in the commercial expansion of our computing service business. It reflects our capability to execute large-scale, enterprise-grade computing deployments and validates our integrated strengths in computing resource aggregation, technical delivery, and complex operational maintenance. As our business evolves from project-based engagements toward long-term and large-scale service contracts, this partnership establishes a clearer monetization pathway for our computing services capabilities. Looking ahead, we will continue to scale our computing services and deepen industry partnerships to empower enterprise AI implementation.”

About MAAS

Maase Inc. (NASDAQ: MAAS) is 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. For more information, please visit: https://ir.maaseai.com/.

Forward-Looking Statements

This announcement contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as “will,” “expects,” “anticipates,” “future,” “intends,” “plans,” “believes,” “estimates,” and similar statements. Among other things, statements regarding the Company’s strategies, business plans, future business development and prospects are forward-looking statements. Such statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed or implied by such statements, including, but not limited to, whether the agreement will continue to be performed, renewed, or generate the anticipated benefits; whether contract value of the agreement will be fully realized and the amount of revenue that will be recognized; the Company’s goals and strategies; its future business development; the demand for and acceptance of its products and services; technological changes; the economic environment; its reputation and brand; the effects of competition and pricing; governmental regulation; and general economic and business conditions in the domestic and international markets in which the Company operates, as well as assumptions underlying or related to any of the foregoing risks and other risks disclosed in the Company’s filings with the U.S. Securities and Exchange Commission (“SEC”). Investors should not place undue reliance on these forward-looking statements. All information provided in this press release is as of the date of this press release, and the Company does not undertake any obligation to update any forward-looking statement, except as required under applicable law. Further information regarding these and other risks is included in the Company’s filings with the SEC, which are available for review at www.sec.gov.

Investor Relations Contact

For more information, please contact:

Investor Relations

Phone: +86-532-66030885

Email: ir@maaseai.com

Website: https://ir.maaseai.com/


FAQ

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

What services will Huarong Future provide to VirtAI Tech beyond raw computing power?

Huarong Future will provide technical consulting and ongoing operational support, including troubleshooting at the underlying hardware, equipment, and system platform layers, alongside provisioning the high-performance computing capacity.

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