Can the U.S. Stop Nvidia Chips from Powering China’s AI? New Bill Says Yes

A U.S. lawmaker introduces a bipartisan bill to track Nvidia AI chips post-sale and block illegal exports to China, aiming to protect national security and enforce export controls.

Introduction

A new U.S. bill aims to clamp down on Nvidia AI chips reaching China, where they could fuel advanced military and AI systems.

The bipartisan initiative aims to prevent these powerful semiconductors from being illegally exported to China, where they are believed to be used in military and advanced AI development.

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5 Key Takeaways

New Bill Targets AI Chip Smuggling: U.S. Rep. Bill Foster proposes legislation to track Nvidia AI chips post-sale.

Nvidia Chips Power Global AI Systems: These chips are critical for AI models, military tech, and even bioengineering.

Tracking Technology Already Exists: Foster says Nvidia chips can support location verification features.

Bipartisan Momentum Builds: Both parties support stronger controls to prevent unauthorized Chinese access.

National Security at Stake: Chips are reportedly used by Chinese AI labs despite export bans.

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Why Nvidia Chips Are a National Security Concern

Nvidia’s high-performance chips, such as the A100, H100, and upcoming B100, are at the heart of AI systems used globally. From training large language models to simulating complex scientific processes, these chips also have dual-use potential.

Nvidia ChipUse CaseExport Status to China (2024–2025)
A100AI model training, simulationsRestricted
H100Generative AI, supercomputingRestricted
L40SEnterprise inference workloadsRestricted
RTX 4090Gaming/AI research (repurposed)Still Smuggled
B100 (2025)Next-gen AI model accelerationExpected to be Restricted

Source: U.S. Department of Commerce, Nvidia 10-K, Export Control Orders (2023–2024)

Despite restrictions from both the Trump and Biden administrations, several investigative reports and legal cases show restricted chips continue reaching Chinese hands. In 2024, Chinese AI firm DeepSeek used banned Nvidia chips to build large-scale models. The same year, three Chinese nationals charged in Singapore for smuggling such chips.

Foster’s Bill: Chip Tracking & Function Lockdown

Rep. Bill Foster, a physicist-turned-lawmaker, believes chip telemetry holds the solution. He says many Nvidia chips already include embedded systems that can:

Track their location after sale
Deactivate remotely if users violate export licenses

“Nvidia says it can’t track these chips after sale—but the technology is already there,” Foster

The bill would give the U.S. Department of Commerce six months to issue regulations mandating such features.

Google Already Tracks AI Chips—Why Not Nvidia?

Companies like Google, Amazon, and Microsoft already use custom systems to track the physical location of their AI accelerators. These are design for infrastructure management and security. Foster’s legislation would extend similar principles across the commercial chip industry.

This builds on recommendations from the Semiconductor Industry Association (SIA) and RAND Corporation, both of which have urged the government to implement secure chip traceability measures.

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Bipartisan Support Signals Fast Action

The bill has received early bipartisan support. Rep. Raja Krishnamoorthi (D-IL), a member of the House Select Committee on China, called the idea “a creative solution to a real security threat.” Rep. John Moolenaar (R-MI), who chairs the committee, added:

“The technology exists. It’s time to put it to work for our national defense.”

Conclusion

As the race for AI dominance intensifies, controlling where Nvidia chips go is no longer optional with China’s growing AI capabilities and suspected misuse of U.S. technology, Foster’s bill could serve as a vital step toward securing America’s tech edge. The move also highlights a broader shift toward embedding hardware safeguards into the semiconductor supply chain.

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Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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