Anthropic, an Amazon-backed Artificial Intelligence startup, recently published a policy article warning about sophisticated smuggling operations enabling the flow of advanced computing hardware from the United States to China. In a notable section, Anthropic claimed there have been cases where processors were hidden in prosthetic baby bumps and powerful GPUs were sent alongside live lobsters to evade export regulations. While the company did not specify exact hardware models in these examples, the report later suggested that thousands of NVIDIA H100 advanced chips had made their way into Chinese territories, raising concerns about potential threats to America´s competitive edge in compute infrastructure.
In response, NVIDIA publicly rejected Anthropic´s assertions as exaggerated and improbable. In a statement to CNBC, a spokesperson for NVIDIA, often referred to as Team Green, urged American companies to focus on driving innovation rather than advancing what it called ´tall tales´ about dramatic smuggling tactics involving baby bumps and seafood shipments. The exchange quickly attracted mainstream attention, with both companies trading further public criticisms on their respective stances regarding regulation and international competition. NVIDIA also pushed back against Anthropic´s perceived anti-foreign competition sentiment, highlighting the high level of expertise among China´s Artificial Intelligence researchers and arguing that American companies cannot rely on regulatory manipulation to maintain industry leadership.
Ironically, much of Anthropic´s own Artificial Intelligence infrastructure is heavily reliant on NVIDIA´s cutting-edge GPUs and accelerators—a fact not lost on industry observers who note that major US start-ups are fiercely competing for access to such advanced hardware. Despite NVIDIA´s dismissal, Anthropic maintained its position, reiterating support for strong and balanced export controls that protect America´s leadership in technology and underpin the values of freedom and democracy. The public disagreement underscores the escalating tensions between technology leaders over hardware access, export policy, and the global Artificial Intelligence research race.
