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2026 China Intelligent Computing Industry Conference Held in Shenzhen with 2,000+ Attendees

The 2026 China Intelligent Computing (智算) Industry Ecosystem Annual Conference was held in Shenzhen, drawing over 2,000 participants. The event focused on AI computing infrastructure and real-world deployment under the theme 'AI into Scenarios, the Era of Tokens.'

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The 2026 China Intelligent Computing (智算) Industry Ecosystem Annual Conference was held in Shenzhen, drawing over 2,000 industry representatives. The conference theme, 'AI into Scenarios, the Era of Tokens,' spotlighted the intersection of AI computing infrastructure and real-world application deployment.

Participants spanned AI chipmakers, intelligent computing centers, cloud platforms, and AI application companies, with discussions centered on computing power supply, model inference optimization, and scenario-specific deployment strategies.

As large language models move from R&D to large-scale deployment, the intelligent computing industry is shifting its focus from building computing capacity to utilizing it effectively. Keynote speeches and panel discussions addressed reducing AI inference costs, improving compute utilization efficiency, and driving vertical industry adoption.

Shenzhen, as a frontrunner in China's tech innovation, has been steadily expanding its intelligent computing infrastructure. The 2,000-attendee turnout underscores the growing industry-wide attention on AI computing and its ecosystem development.

Under the 'Era of Tokens' theme, a consensus is emerging: compute power is no longer the scarce resource defining the market — how to efficiently use existing capacity and reduce inference costs will determine whether AI applications achieve mass adoption. The conference signals that China's intelligent computing industry is accelerating from infrastructure investment toward value realization.

Why it matters

The 2,000+ attendance reflects surging interest in China's intelligent computing ecosystem, with the industry pivoting from capacity building to utilization optimization.

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