Maase Inc. Signs RMB14.76 Million AI Computing Services Contract, Further Expanding Enterprise AI Infrastructure Services

Rhea-AI Summary

Maase (NASDAQ: MAAS) announced that its subsidiary Huarong Future signed a 12‑month computing services agreement with Guangzhou Chuangyan worth RMB14.76 million. Huarong Future will provide 90P‑class FP16 AI computing capacity plus technical consulting, support and troubleshooting, under defined technical standards for non‑sparse computing performance.

According to Maase, the deal supports its strategy to expand enterprise AI infrastructure services and shift from project‑based delivery toward a more continuous computing services model, leveraging integrated computing resources and ongoing operational services.

Positive

• New AI computing contract with total value of RMB14.76 million over 12 months
• Recurring service revenue via RMB1.23 million monthly computing services fee for 12 months
• Utilization of 90P-class FP16 capacity under defined technical standards, reinforcing enterprise-grade infrastructure positioning

Negative

• None.

News Explained

The contract’s disclosed payment cadence is RMB1.23 million per month for 12 months, meaning the stated RMB14.76 million value is scheduled across the service term rather than described as cash already received.

Market Context

MAAS's recent AI-news reactions included 0.72% and 11.49% moves, providing a varied historical bench...

Analysis

MAAS's recent AI-news reactions included 0.72% and 11.49% moves, providing a varied historical benchmark for this contract announcement. The active F-3 resale registration and disclosed VIE structure remain relevant platform-record risks to monitor.

Key Figures

Contract Value: RMB14.76 million Monthly Service Fee: RMB1.23 million Contract Term: 12 months +2 more

5 metrics

Contract Value RMB14.76 million 12-month computing services agreement

Monthly Service Fee RMB1.23 million Paid monthly for 12 months

Contract Term 12 months Computing services agreement

Computing Capacity 90P-class FP16 Computing capacity provided under the agreement

Peak Performance Requirement Exceed 90P Aggregate theoretical peak FP16 performance under non-sparse conditions

Previous AI Reports

5 past events · Latest: Aug 11 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	24h Move	Catalyst
Aug 11	AI contract completion	Positive	+0.7%	Client acceptance and full payment received for completed AI computing services contract
Aug 04	Leadership change	Positive	+5.5%	Dr. Zhifeng Li appointed CTO to lead AI technology strategy and platform innovation
Jul 28	AI data-center MOU	Neutral	-1.2%	Non-binding MOU explored development of a large-scale AI data center in Kazakhstan
Jul 21	Enterprise AI agreement	Positive	+11.5%	Agreement exceeded RMB10 million for customized enterprise-grade AI application development
Jul 17	Business divestiture	Positive	-5.7%	Company agreed to sell its 49% stake in Laixi Intelligent for US$17 million

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

Pattern Detected

MAAS's AI-related announcements produced three aligned positive reactions and two divergences, including a negative reaction to a prior AI contract.

Key Terms

fp16, non-sparse computing, half-precision floating-point performance

3 terms

fp16 technical

"90P-class FP16 computing capacity, together with related technical consulting"

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.

non-sparse computing technical

"Under non-sparse computing conditions, the aggregate theoretical peak"

Computing that handles data or models where most values are present and non-zero, as opposed to sparse computing which deals with mostly-empty or zero-filled data. Like filling every seat in a theater versus only a few scattered seats, non-sparse workloads require storage and processing for nearly every piece of data, affecting memory use, processor demands, power and cost. Investors pay attention because those hardware and efficiency needs influence product performance, capital spending and operating expenses.

half-precision floating-point performance technical

"FP16 half-precision floating-point performance of the computing cluster"

Half-precision floating-point performance measures how fast and efficiently a processor or chip handles numerical calculations using 16-bit floating-point numbers (often called FP16). It matters to investors because many modern AI, machine learning and graphics workloads use FP16 to reduce memory and power needs; better FP16 performance can mean faster model training and inference, lower operating costs, and a competitive edge for hardware makers, similar to a delivery truck that carries more goods per trip.

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

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QINGDAO, China, Sept. 01, 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 recently, its subsidiary, Huarong Future (Sichuan) Technology Co., Ltd. (“Huarong Future”), entered into a computing services agreement (the “Agreement”) with Guangzhou Chuangyan Information Technology Co., Ltd. (“Guangzhou Chuangyan”). The Agreement has a total contract value of RMB14.76 million and a 12-month term.

Under the Agreement, Huarong Future will provide Guangzhou Chuangyan with 90P-class FP16 computing capacity, together with related technical consulting and support, as well as troubleshooting services for the underlying hardware and system layers of the computing equipment and platform. Guangzhou Chuangyan will pay a monthly computing services fee of RMB1.23 million for 12 months, for a total contract value of RMB14.76 million.

The Agreement defines technical standards for delivery. Under non-sparse computing conditions, the aggregate theoretical peak FP16 half-precision floating-point performance of the computing cluster is required to exceed 90P.

Dr. Zhifeng Li, Chief Technology Officer of MAAS, said: “Our cooperation with Guangzhou Chuangyan demonstrates MAAS's execution capabilities in translating computing resource integration into enterprise-level services. As AI model training, AI inference and enterprise AI applications continue to expand, demand is growing for computing resources that are stable, scalable and supported by ongoing technical services. Looking ahead, MAAS will continue to strengthen its capabilities in computing resource integration, technical delivery and operational services, while advancing its AI infrastructure business from project-based delivery toward a more continuous computing services model.”

About MAAS

Maase Inc. (NASDAQ: MAAS) is an integrated provider and operator of an artificial intelligence (“AI”) -centric full-scene digital systems. The Company’s 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 its dual engines of intelligent technology and ecosystem integration, through strategic industry consolidation and continuous improvement in operations, the Company’s mission is to build up an open and collaborative industrial ecosystem and provide customers with efficient, reliable and sustainable intelligent products and solutions. The Company 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 this computing services 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

What did Maase (NASDAQ: MAAS) announce on September 1, 2026 about its AI computing services?

Maase announced a 12‑month AI computing services contract worth RMB14.76 million with Guangzhou Chuangyan. According to Maase, subsidiary Huarong Future will deliver 90P‑class FP16 computing capacity plus technical consulting, support and troubleshooting, advancing the company’s enterprise AI infrastructure services strategy.

What is the value and term of Maase’s new AI computing contract for MAAS shareholders?

The AI computing services agreement has a total contract value of RMB14.76 million over 12 months. According to Maase, Guangzhou Chuangyan will pay RMB1.23 million per month, providing a defined stream of service fees tied to computing capacity and support delivery.

What AI computing capacity will Maase’s subsidiary provide under the Guangzhou Chuangyan contract?

Huarong Future will provide 90P‑class FP16 computing capacity to Guangzhou Chuangyan. According to Maase, under non‑sparse computing conditions the cluster’s aggregate theoretical peak FP16 performance must exceed 90P, supported by technical consulting, hardware and system‑layer troubleshooting services for the computing platform.

How does the Guangzhou Chuangyan agreement support Maase’s AI infrastructure business strategy (MAAS)?

The contract supports Maase’s move toward a more continuous computing services model. According to Maase, it leverages integrated computing resources, technical delivery and operational services to serve enterprise AI training, inference and application needs, beyond purely project‑based implementations in its AI infrastructure business.

Who is the contracting subsidiary in Maase’s RMB14.76 million AI services deal and what services are included?

Maase’s subsidiary Huarong Future is the service provider in this agreement. According to Maase, Huarong Future will supply FP16 computing capacity, related technical consulting, ongoing technical support, and troubleshooting for the underlying hardware and system layers of the computing equipment and platform.