Large Model Concept Stocks Watch | Relevant Authorities Reiterate Vigorous Development of Edge-Side AI Devices; Mininglamp Technology-W (2718.HK) Surges Substantially in Morning Trading with Gains Exceeding 10%

NewTimeSpace (newtimespace.com) News, On June 11, 2026, the Hang Seng Tech Index fluctuated during morning trading, while large model concept stocks collectively strengthened. Mininglamp Technology-W (2718.HK) staged a substantial upward surge in the morning session. As of 9:40 AM, the company's share price was quoted at HK$188.00, up 11.51%.

On the news front, on June 10, the Ministry of Industry and Information Technology (MIIT) issued the "Implementation Opinions on the Innovative Development of 'Artificial Intelligence + Information Communications' (2026–2028)." The document highlights the creation of new intelligent network-integrated terminals, advocating for the vigorous development of products such as AI smartphones, AI PCs, smart home devices, and intelligent wearables to foster a smart, integrated product ecosystem for AI terminals.

On June 9, The Education University of Hong Kong (EdUHK) and Mininglamp Technology reached an intent to jointly establish the "EdUHK-Mininglamp Technology AI + Education Integration and Innovation Industry-Academia-Research Joint Research Center." The center will conduct joint scientific research focusing on areas such as new media, social media, and "AI + Education." Mininglamp Technology will open access to its suite of AI tools—including the commercial agent platform DeepMiner, the open-source Agent collaboration platform Octo, and the collaborative creation tool CoCraft—to provide industry-proven technical support for the research projects.

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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