The Era of 100,000 GPUs: China Achieves Independence in AI Computing

Chinese AI infrastructure achieved critical scale on July 10, 2026 — 100,000 GPUs (十万卡), overcoming American chip sanctions and becoming the first major economy to achieve complete independence in AI computing.

From Embargo to Independence

Five years ago, China's AI industry depended on American accelerators, primarily NVIDIA GPUs. American sanctions, which began in 2020 and tightened in subsequent years, cut off supplies of high-performance processors. China, where previously 万卡 (10,000 GPUs) was considered an achievement, was forced to develop its own chips and software ecosystem.

• American chip sanctions began in 2020 and tightened by 2024–2025
• Previous milestone: 万卡 (10,000 GPUs and below)
• New milestone: 十万卡 (100,000 GPUs) in July 2026
• Investments in domestic chips by companies Huawei, Alibaba, Baidu

Three Pillars of Independence

The breakthrough rests on three directions. First, development of domestic processors: Huawei, Alibaba, and Baidu invested in chip design, assembling them with contractors not subject to American restrictions. Although performance lagged behind NVIDIA, scaling the architectures produced results.

Second, software optimization. Instead of Western frameworks, they developed their own: PyTorch alternatives, compilers, low-level optimizations for domestic silicon. In parallel, they grew research models on Chinese chips.

Third, local standards and integration. Instead of foreign cloud platforms, they created domestic infrastructure, linking companies in networks independent of export controls.

What Does the Turning Point Mean?

The 100,000 GPU figure is not accidental. At this scale, the infrastructure becomes self-sufficient: performance is enough to train giant language models (hundreds of billions of parameters), software covers the entire development stack, chips are sufficient for scaling across the country.

"This is not just a technical milestone, this is a political symbol: a

guarantee of independence from sanctions," analysts from the research sector reason.

For developers, hands are freed: no more need to wait for Western export controls. For the state, it is insurance against future restrictions: an attempt to cut off American chips will no longer break AI ambitions.

What This Means

The geopolitics of AI is changing fundamentally. The monopoly on computing power that America held for 10 years is breaking down. Each major region will have its own AI infrastructure: America, Europe, China, possibly India. This will accelerate global distribution of models while fragmenting AI standards. The entire world — from small startups to states — will choose between several computing regions instead of one.

Frequently Asked Questions

What is 十万卡?

十万卡 (one hundred thousand GPUs) — a designation of AI infrastructure generation. Where previously people spoke of scales in 万卡 (ten thousand chips), now the era of 十万卡 means systems of one hundred thousand high-performance accelerators.

Why is this a historical achievement?

For the first time, a country has achieved the necessary volume of its own chips and optimized software to be completely independent of Western export controls when developing large language models.