Installment payment, Mooresoft secures a 660 million AI computing cluster order

2026-04-07 00:39:48

On March 31, Moore Threads Intelligent Technology (Beijing) Co., Ltd. (hereinafter referred to as “Moore Threads”) released an announcement stating that the company recently signed a product sales agreement with a certain customer, with a total contract amount of RMB 660 million.

Moore Threads disclosed that the contract subject is Moore Threads’ Kuai’e (KUAE) intelligent computing cluster, with payment agreed in three phases.

The announcement said that in this transaction, some contract information involves trade secrets. Fulfilling the disclosure obligations would lead to a breach of contract or could give rise to improper competition, harming the interests of the company and investors. Therefore, after completing the internal information disclosure exemption procedures, the company exempted the disclosure of some information related to this transaction.

As introduced, Kuai’e is Moore Threads’ end-to-end solution for its intelligent computing center, based on the MTT S5000 full-function GPU intelligent computing card and an AI model training/inference integrated machine, solving the problems of building large-scale GPU computing power and operating and managing it through an integrated delivery.

Image sourced from Moore Threads’ official website

In addition, Moore Threads’ previously released 2025 performance quick report shows that the company’s full-year revenue was RMB 1.51B, up 243.37% year over year compared with the same period in 2024. Net profit attributable to owners of the parent company was -RMB 1.02B, with the loss narrowing by 36.70% compared with the same period last year.

In response to the notable increase in revenue, Moore Threads specifically mentioned that during the reporting period, the company successfully launched its flagship training/inference integrated full-function GPU intelligent computing card MTT S5000. The product performance reached the market-leading level and achieved large-scale mass production. Large-scale clusters built based on this product have already gone live and provide services, efficiently supporting the training of trillion-parameter large models, with compute efficiency reaching advanced levels of similarly scaled overseas-generation GPU clusters.

Vast amounts of information and precise analysis—right on the Sina Finance app

View Original

This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.

1 Likes