Large Model Concept Stocks Watch | Mininglamp Technology-W (2718.HK) Closes Up Nearly 20%, Share Price Refreshes All-Time High Since Listing
NewTimeSpace News: On May 26, 2026, Mininglamp Technology-W (2718.HK) closed with a sharp gain of 18.95% at HK$313.80, with its share price setting a new historical high since its listing.
On the news front, Mininglamp Technology recently officially open-sourced its self-developed Cider inference acceleration SDK (Software Development Kit) as well as its edge-side GUI intelligent agent model, Mano-P. By enhancing local inference efficiency, Cider brings the concept of "data staying on the device" closer to a truly viable engineering solution. Mano-P is an edge-side GUI-VLA (Vision-Language-Action) agent model self-developed by Mininglamp Technology. It can understand and operate graphical user interfaces purely through visual means. It neither relies on traditional API integrations nor is it limited to browser scenarios; instead, it can directly act upon desktop software, web-based systems, and more complex graphical workflows.
It is understood that Mininglamp Technology will subsequently open-source the complete Mano-Action training methodology and related tools. This will help enterprises and developers train customized GUI agent models based on their own data, or develop new training techniques on top of the Mano-Action foundation.
Guotai Haitong Securities stated that the technological evolution and commercialization of large models are accelerating. The current field of artificial intelligence is undergoing a critical transition period from breakthroughs in foundational model capabilities to the implementation of vertical applications. Leading large model companies have achieved significant progress in both technological iteration and commercialization processes.
MININGLAMP-W (02718.HK)
As an LLM concept stock, the company fully underpins its Agentic AI positioning with its self-developed edge models—Mano, Cito, and Mano-P—alongside the Cider inference framework. Its business architecture utilizes the DeepMiner LLM as the underlying engine and Octo as the collaborative hub, uniformly delivering various AI products and industry solutions in the form of Agentic Services. Mininglamp pursues a differentiated technological route, bypassing the parameter expansion of general models in favor of a "Scaling Out" approach that coordinates multiple specialized small models. Its core moats do not rely on parameter scale, but rather on granular scenario data, specialized models, and continuous learning. This enables it to achieve a level of precision in vertical scenarios that general models cannot match, as it remains committed to building an open-source, privately deployable, and white-box auditable Private AI infrastructure.
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