Media report that the US government has approved NVIDIA to export its high-end H200 AI accelerator to China—but with a major catch: NVIDIA must hand 25% of the revenue from each sale back to the US government as a “technology usage fee.”
On the surface it looks like a relaxation. In reality, the move is a carefully calibrated geopolitical and technological strategy—designed to protect US industry, maintain a controlled technology gap, and slow the momentum of China’s rapidly advancing AI hardware ecosystem.
🔍 Understanding the Real Role of the H200 #
Despite being powerful, the H200 is not NVIDIA’s leading-edge chip.
Key characteristics include:
- Built on Hopper architecture (2023 release)
- Equipped with HBM3e, offering 141GB memory and 4.8TB/s bandwidth
- Provides 1.8× capacity and 1.4× bandwidth of the H100
However, it is significantly outclassed by NVIDIA’s next-generation Blackwell architecture, including:
- B200, GB200, and related accelerators
- Up to 4× the computational performance
- Fully prohibited from export to China
In short, the H200 is a “previous-gen but still extremely capable” accelerator. Allowing its export helps China meet immediate compute needs while carefully preserving a full generational gap between what China receives and what US firms use.
This controlled lag—allowing advancement but preventing parity—is the core strategy shaping US tech export policy.
🇺🇸 The US Strategy: A Triple-Dividend Calculation #
The approval of the H200 is not a concession—it’s a strategic maneuver optimized for US interests. Three key objectives drive the decision.
1. Protecting US Corporate Interests #
After the 2024 export restrictions tightened, NVIDIA’s Chinese market—which previously generated over $50B annually—collapsed from 95% share to near zero. Jensen Huang publicly admitted in 2025 that NVIDIA had been “forced out of an irreplaceable market.”
Allowing the H200 reopens a major revenue channel and prevents long-term damage to NVIDIA’s global competitiveness.
2. Direct US Government Revenue #
The mandated 25% revenue share operates as a built-in national profit mechanism.
- H200 unit price: ~$40,000
- US government cut per chip: ~$10,000
If NVIDIA sells $5B worth of H200s per quarter in China, the US gains $1.25B directly.
3. Slowing China’s Domestic AI Chip Ecosystem #
From 2023 to 2025, China made rapid gains in homegrown AI chips due to NVIDIA’s absence:
- Huawei Ascend 910B/C mass deployment
- Cambricon Siyuan 590 scaling in cloud clusters
- Biren BR100 regaining momentum
By reintroducing the H200—with its mature CUDA ecosystem—the US hopes to lure some Chinese customers back, slowing the maturation of fully indigenous alternatives.
🇨🇳 China’s Dual-Edged Opportunity #
The H200’s entry into the Chinese market is a mixed blessing—beneficial but strategically risky.
Short-Term Advantages #
- Alleviates compute shortages for large-scale model training
- Cuts training cycles (months → weeks)
- Reduces R&D costs and improves time-to-market
- Helps startups access high-end compute without high initial investment
Long-Term Risks #
- The 25% fee will be passed on, raising compute costs
- Heavy reliance on imported accelerators could slow domestic R&D
- Supply interruptions risk future instability
Yet China’s domestic chip momentum significantly reduces these risks:
- Ascend 910C entered large-scale deployments in 2025
- Cambricon’s cloud chip revenue surged
- Domestic accelerator penetration jumped to 30%, projected 55% by 2027
Strong policy support, security review mechanisms, and “de-Americanization” supply chain mandates create a structural moat for Chinese chipmakers. The H200 may influence the market, but it cannot reverse the broader trend of indigenous substitution.
🧭 Conclusion #
The US approval of the H200 is not a sign of goodwill but a precision-engineered geopolitical strategy. It balances three imperatives:
- Extract profits from a massive market
- Maintain a safe technological lead over China
- Disrupt China’s domestic AI chip trajectory whenever possible
For China, the H200’s arrival is not an endpoint—it is an inflection point. The optimal path forward is clear:
- Leverage available global resources
- Accelerate breakthroughs in core semiconductor technologies
- Build a truly independent, full-stack AI compute infrastructure
Only then can China secure long-term technological autonomy and resilience in the global AI race.