Recently, the “Tongxin・Zhiyuan” Intel Technology Innovation and Industrial Ecosystem Conference (Intel Connection) officially kicked off at the Suzhou International Expo Center. Longcheer was invited to participate in the event, collaborating with upstream and downstream partners across the industrial chain to explore new pathways for on-device AI implementation.
This participation served as a key opportunity for Longcheer and Intel to deepen technical exchange. It also created favorable conditions for the company to access cutting-edge industry insights and build collaboration pipelines. During the conference, Longcheer was honored with the Intel Firefly WCL (Wildcat Lake) - Excellent Strategic Partner Award. Presented to core ecosystem partners of the Intel Firefly Program, this award is Intel’s high recognition of Longcheer’s comprehensive capabilities in WCL platform complete-machine solution R&D, hardware-software co-optimization and large-scale product deployment. It marks a new milestone in the two parties’ collaboration in the on-device AI PC sector.
This engagement provided a key opportunity for Longcheer and Intel to deepen technical exchanges, while enabling the company to gain cutting-edge industry insights and build collaboration channels. At the conference, Longcheer received the Intel Firefly WCL (Wildcat Lake) Excellent Strategic Partner Award. Granted to core ecosystem partners of the Intel Firefly Program, the award recognizes Longcheer’s strong capabilities in full-system solution R&D for the WCL platform, hardware-software co-optimization, and large-scale product deployment. It marks a new milestone in their collaboration in the on-device AI PC space.
On-device AI is currently reshaping the landscape of the smart hardware industry. As large models increasingly run locally on end devices, AI PCs — the core carrier of on-device intelligence — place higher demands on system architecture, hardware-software co-optimization, and on-device computing tuning. Industry competition has shifted from pure hardware manufacturing toward the integrated development of on-device capabilities. Joint R&D and ecosystem co-building with partners have become critical to product rollout.
Faced with this industry shift, Longcheer has proactively invested in the on-device AI track. In recent years, the company has focused on end-user terminals, including AI PCs, and carried out systematic technical research. It has delved into full-system architecture design, system adaptation, and on-device computing tuning, continuously refining its end-to-end capabilities. For consumer, commercial, and other use cases, Longcheer develops scalable AI hardware solutions.
At the conference's technical and application showcase, Longcheer exhibited its self-developed AI laptops. The lineup covers multiple form factors, including thin-and-light devices and multi-touch convertibles, with consumer-grade and high-performance AI configurations for personal use, mobile office, and other scenarios. These devices showcase Longcheer's full-system solution capabilities — ranging from system R&D, screen calibration, and audio tuning to hardware-software adaptation — alongside deep technical expertise in AI PC development. The booth attracted numerous industry partners for technical discussions. Leveraging the computing power of Intel client platforms, the showcased AI laptops fully unlock on-device AI performance. Longcheer delivers one-stop AI hardware solutions for global brand customers, helping them build differentiated AI end devices.
During the exhibition, the Longcheer team held multi-dimensional exchanges with Intel’s technical team and industry peers across the value chain. The two sides shared insights on Intel’s latest platform technologies, including its new-generation mobile and desktop processors, and explored pathways for joint innovation in end products. Going forward, Longcheer will continue to deepen ecosystem collaboration with Intel, persist in on-device AI technological innovation, and jointly drive high-quality industrial development.
