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Пекин наращивает ИИ-вычисления до 130 000 петафлопс в технологической гонке с США

Пекин наращивает вычислительные мощности ради «экономики токенов». Городские власти планируют добавить ещё 50 000 петафлопс интеллектуальных вычислений во втором полугодии 2026 года и превысить 130 000 петафлопс к концу года. Так Китай ускоряет внедрение ИИ в ключевых отраслях на фоне технологической гонки с США.

AI-processed from SCMP Tech; edited by Hamidun News
Пекин наращивает ИИ-вычисления до 130 000 петафлопс в технологической гонке с США
Source: SCMP Tech. Collage: Hamidun News.
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What Beijing Announced

Beijing plans to add 50,000 petaflops of intelligent computing capacity in the second half of 2026 and bring the city's total capacity to more than 130,000 petaflops by the end of the year. This was announced by the Beijing Municipal Bureau of Economy and Information Technology at a press briefing on July 21, 2026. One petaflop equals 10 to the 15th power of floating-point operations per second — the basic unit for measuring the computing infrastructure used to train and run AI models.

Alongside the capacity expansion, the city announced new measures to support the so-called "token economy" — a bet on the mass generation of tokens by AI models in industrial and service scenarios.

  • Plus 50,000 petaflops in the second half of 2026
  • Total capacity — more than 130,000 petaflops by the end of 2026
  • Announcement made on July 21, 2026, at a press briefing
  • Source — Beijing Municipal Bureau of Economy and Information Technology
  • Goal — to accelerate AI adoption in key industries

What Is the "Token Economy"

The "token economy" is an approach in which the success of AI infrastructure is measured not by the number of deployed models but by the volume of tokens these models generate for real industry tasks. A token is the smallest unit of text that a language model processes and outputs; the more tokens a system can produce, the wider its application in industry, services, and public administration.

For Beijing, this means a shift in metrics: the city is incentivizing not just model development but the mass use of models within key industries. The additional 50,000 petaflops in the second half of 2026 directly increase this "token output" — the computing base determines how many requests the infrastructure can serve simultaneously.

Why This Matters for the Race with the US

The expansion of computing power is a direct response by China to technological competition with the US, where access to compute has become a key resource for AI development. Beijing is betting on infrastructure: the more petaflops available to local companies and the public sector, the faster models are trained and the faster they serve user requests within the country.

"The city will add another 50,000 petaflops of intelligent computing capacity in the second half of 2026," the

Beijing Municipal Bureau of Economy and Information Technology said in a statement at the press briefing.

The target of 130,000 petaflops by the end of 2026 is a bid to reduce China's dependence on foreign compute suppliers. Amid restrictions on the supply of advanced chips, a domestic computing base is becoming a strategic resource on par with data and algorithms.

What It Means

Beijing is shifting the AI race from the level of individual models to the level of infrastructure: computing power is becoming a strategic resource. The target of 130,000 petaflops by the end of 2026 shows that China is betting on the volume and availability of compute as a way to accelerate AI adoption in the economy and keep pace with the US.

Frequently Asked Questions

How many petaflops does Beijing plan to add?

Beijing intends to add 50,000 petaflops of intelligent computing capacity in the second half of 2026 and exceed a total of 130,000 petaflops by the end of the year.

What is a petaflop?

One petaflop equals 10 to the 15th power of floating-point operations per second. It is the standard unit for measuring the power of the computing infrastructure on which AI models are trained and run.

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