The partnership will operate under a joint-solutions framework to drive iterative improvements, governance enhancements, and scalable deployment across eligible regions.

Both parties will conduct compatibility tests and performance verifications to ensure stable, secure joint solutions and to deliver ready-to-use intelligent livelihood offerings.

They aim to co-create regional intelligent computing centers and anchor joint solutions in the Urban Livelihood AI Operation Base model to bolster urban governance.

The collaboration will explore regional intelligent computing centers to strengthen infrastructure for AI-enabled livelihood services and ensure the stability of joint solutions.

Looking ahead, the partners plan a closed-loop Urban Livelihood AI Operation Base to enable end-to-end flow from computing supply and model iteration to service delivery, enhancing urban governance intelligence.

TECSUN’s strengths in data, algorithms, and scenarios will complement QingCloud’s enterprise-grade AI infrastructure, creating a complementary, solution-driven collaboration.

The collaboration represents a strategic move to connect computing supply, model iteration, and service delivery across the full chain—from infrastructure to deployment.

A strategic partnership between TECSUN and QingCloud aims to apply TECSUN’s scenario-based intelligent applications with QingCloud’s private cloud and intelligent computing platform to serve livelihood sectors such as employment, healthcare, and government services.

The release notes press coverage by Media OutReach Newswire and lists TECSUN’s stock code 002908 and QingCloud’s stock code 688316.

The collaboration targets precise job matching and intelligent recommendations through an integrated employment agent and computing platform, while developing fusion architectures for contactless medical payments and edge AI inference cloud.

The plan envisions large-scale growth through an AI + Cloud + Computing Power Collaboration, pursuing joint regional projects and scalable infrastructure.

Planned activities include compatibility testing, performance verification, and delivering secure, ready-to-use intelligent livelihood solutions, plus exploring regional intelligent computing centers to support the ecosystem.