Whack-a-Chip: The Futility of Hardware-Centric Export Controls
Ritwik Gupta, Leah Walker, Andrew W. Reddie

TL;DR
This paper provides concrete evidence that Chinese AI labs, especially Tencent, are circumventing U.S. export controls by optimizing software and hardware use, undermining the effectiveness of these restrictions in maintaining technological advantage.
Contribution
It reveals how Chinese companies evade export controls through software and hardware optimization, demonstrating the limits of current U.S. export restrictions.
Findings
Tencent uses non-export controlled NVIDIA H20s for large AI models
Chinese labs optimize hardware and software to bypass export restrictions
U.S. export controls are increasingly ineffective against adaptive strategies
Abstract
U.S. export controls on semiconductors are widely known to be permeable, with the People's Republic of China (PRC) steadily creating state-of-the-art artificial intelligence (AI) models with exfiltrated chips. This paper presents the first concrete, public evidence of how leading PRC AI labs evade and circumvent U.S. export controls. We examine how Chinese companies, notably Tencent, are not only using chips that are restricted under U.S. export controls but are also finding ways to circumvent these regulations by using software and modeling techniques that maximize less capable hardware. Specifically, we argue that Tencent's ability to power its Hunyuan-Large model with non-export controlled NVIDIA H20s exemplifies broader gains in efficiency in machine learning that have eroded the moat that the United States initially built via its existing export controls. Finally, we examine the…
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Taxonomy
TopicsVLSI and Analog Circuit Testing
