Beijing’s Municipal Bureau of Economy and Information Technology and the Municipal Development and Reform Commission have issued the Action Plan for Accelerating the Development of the Token Economy in Beijing (2026-2028), laying out a framework to build what the document calls token factories to a high standard.
The plan says Beijing will formulate a graded evaluation standard for token factories. The assessment will cover core technical indicators including the number of model adaptations, token throughput speed, first-token latency, cache hit rate, and power usage effectiveness, or PUE. The document also says the city will improve support around land resources, energy-consumption quotas, and communications networks, while backing token factories with industry-leading influence.
On the technology side, the plan calls for faster iteration of foundation model technology to raise the upper bound of model intelligence. It also mentions work on model-chip adaptation and tuning, and support for research in inference-focused chips, model lightweighting, and edge deployment. In parallel, the document says Beijing will build and use intelligent computing resources at a high level to lift overall token production capacity.
Beijing’s Municipal Bureau of Economy and Information Technology and the Municipal Development and Reform Commission have issued the Action Plan for Accelerating the Development of the Token Economy in Beijing (2026-2028), setting out measures to raise token production capacity through higher-standard token factories.
The document says Beijing will establish a graded evaluation standard for token factories. The criteria will cover core technical indicators including the number of model adaptations, token throughput speed, first-token latency, cache hit rate, and power usage effectiveness (PUE).
It also calls for better support in land resources, energy-consumption indicators, and communications networks, with support to be given to token factories that show industry-leading influence.
The plan also addresses key technology development. It calls for faster iteration of foundation model technology to improve the upper limit of model intelligence, promotes adaptation and tuning between models and chips, and supports work on inference-specific chips, model lightweighting, and edge deployment. The document also mentions high-level construction and use of intelligent computing resources to improve overall token production capacity.
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