Moore Thread: Recently signed a contract order worth 660 million yuan with a client

On the evening of the 30th, Moore Threads Intelligent Technology (Beijing) Co., Ltd. (hereinafter referred to as “Moore Threads,” 688795.SH) released a major contract announcement. The company has recently entered into a product sales agreement (hereinafter referred to the “Contract”) with a certain customer. The subject of the Contract is Moore Threads’ KUAE intelligent computing cluster, with a total contract price of 600 million yuan.

Moore Threads said that signing the Contract is part of the company’s ordinary business operations. If the Contract is executed smoothly, it is expected to have a positive impact on the company’s operating performance. The company will recognize revenue in the relevant accounting periods in accordance with the relevant provisions of the Contract and the company’s revenue recognition principles.

Market analysts noted that the core competitiveness of the Wan-ka cluster lies not only in its computing power scale, but also in system stability, continuous training capability, and overall operating efficiency. This order fully demonstrates that Moore Threads has overcome the engineering barriers of large-scale clusters and achieved a key leap from delivering single-point product capabilities to delivering capabilities at ultra-large-scale cluster level. It indicates that its relevant products have entered a more large-scale stage of commercial delivery, and also highlights its more solid engineering accumulation and cluster delivery capabilities in the domestic GPU sector.

Public information shows that the KUAE intelligent computing cluster is a system-level solution that can support clusters of thousands of cards, tens of thousands of cards, and even larger scales. Industry insiders said that against the backdrop of continued growth in domestic computing power demand, the large-scale commercialization and implementation of this cluster is expected not only to further strengthen Moore Threads’ market position in the intelligent computing infrastructure sector, but also to enhance its competitive advantage in high-performance training scenarios for domestic GPUs, providing a new practical sample for the large-scale rollout of AI computing power in China.

（Source: China National Radio Finance）