Qwen Conference Thailand 2026 took place in Bangkok on September 4, 2026, bringing together nearly 400 enterprise customers, developers, and AI practitioners. QwenCloud Product Manager Li Yan delivered a keynote titled “QwenCloud: AI-Native Cloud, Built for the Agent Era.” Product Manager Ge Jun gave a live demonstration of an end-to-end agent-as-a-customer workflow spanning registration, payment, model invocation, and project deployment. The QwenCloud exhibition area attracted strong interest from local enterprise customers and AI entrepreneurs, with nearly 50 attendees registering on-site for follow-up discussions.
During the keynote “QwenCloud: AI-Native Cloud, Built for the Agent Era,” Li Yan outlined QwenCloud’s core design principles and three access points: Web, Skills, and CLI. He also highlighted the platform’s model capabilities, commercial offerings, and app experience, positioning QwenCloud as an AI-native cloud service built for developers, enterprises, and agents.

Product Manager Ge Jun demonstrated an end-to-end agent-as-a-customer workflow. In the demo, the agent handled account registration, model selection, inference, application deployment, payment, and usage and billing queries, illustrating how QwenCloud can support agent-friendly cloud interactions from start to finish.

The exhibition area showcased QwenCloud’s two primary user journeys: one for human users and one for agents. It presented QwenCloud’s end-to-end workflow, covering account registration, model invocation, Skills integration, application deployment, cost management, and billing. Enterprise customers and AI-native entrepreneurs from industries including insurance, financial services, consulting, film, and media participated in in-depth discussions, resulting in dozens of high-quality follow-up opportunities.
Attendees showed particular interest in QwenCloud’s differentiated capabilities, including its range of supported models, free usage credits, convenient one-stop model trials and comparisons, and competitive Token Plan pricing. Several customers used Try AI on-site to test and compare models and explore the complete agent-friendly workflow. Following these discussions, nearly 50 enterprise customers and AI entrepreneurs signed up for follow-up conversations on potential collaboration and purchase plans.


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