Recently, Gao Shixing, Chairman and CEO of AISPEECH, engaged in a productive business exchange with Dowson Tong, Senior Executive Vice President of Tencent Group and CEO of Cloud and Smart Industries Group. The duo forged a consensus on two pivotal scenarios: streamlining personal office tasks and enhancing enterprise-level conference operations. They also agreed on the integration of smart hardware ecosystems, the collaborative establishment of AI computing power infrastructure, and the reciprocal sharing of industrial ecosystem resources.

As a frontrunner among domestic system-level conversational AI platform providers, AISPEECH has developed a core large model grounded in its proprietary AISPEECH DFM foundational model. This innovation underpins intelligent human-machine conversational products and solutions, leveraging end-cloud collaboration for smart office environments and beyond. Meanwhile, Tencent Cloud, drawing on its premier cloud computing infrastructure, the sophisticated Hunyuan large model system, and a national-scale product ecosystem encompassing WeChat and Tencent Meeting, delivers digital transformation services across diverse sectors.

The two entities have already embarked on multi-faceted cooperation, yielding interim successes. Notably, the AISPEECH AI Office Notebook series has been deeply integrated with Tencent Cloud's ClawPro intelligent agent platform, facilitating seamless interaction between end-user hardware and cloud-based AI services. Furthermore, they have collectively surmounted several technical hurdles in implementing domestic GPU computing power, validating the technical viability and operational robustness of utilizing domestic computing resources to bolster large model training.

Looking ahead, the partners will concentrate on three key areas: personal office productivity, enterprise meeting efficiency, and computing power support. They aim to pioneer a novel end-cloud collaborative cooperation model, encapsulated as "hardware entry points + software services + computing power infrastructure". This approach seeks to jointly enhance the efficiency and cost-effectiveness of AI technology implementation, thereby fostering the intelligent transformation of various industries.