Texas A&M Proposes 5G CATS System Using Location Authentication to Combat AI Chip Smuggling
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On November 12, 2026, Semiconductor Engineering reported that researchers at Texas A&M University published a paper proposing a location authentication system called 5G CATS, designed to verify the location of AI accelerator chips after deployment to combat chip smuggling. The solution integrates a 5G radio, cryptographic engine, and hardware interlocks into the GPU package, and works in conjunction with 5G URLLC base stations. In terms of performance, the system narrows the 99.9th-percentile round-trip time jitter to 2.60 ms, more than ten times tighter than default 5G. The work remains at the paper-proposal stage; the report did not mention real-world deployment or commercialization progress.
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- Semiconductor Engineering Chips and PackagingHardware-Based Location Checks Target AI Chip Smuggling (Texas A&M)
Texas A&M University researchers released a paper proposing 5G CATS, a location attestation system that verifies where AI accelerator chips are deployed to combat smuggling. The system integrates 5G RF, a cryptographic engine, and hardware interlocks inside the GPU package, working with 5G URLLC base stations to narrow 99.9-percentile round-trip time jitter to 2.60 ms, more than ten times tighter than default 5G.
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