Research Report Erich Grunewald Research Report Erich Grunewald

Accelerating AI Data Center Security

AI systems are advancing at breakneck speed and already reshaping markets, geopolitics, and the priorities of governments. Frontier AI systems are developed and deployed using compute clusters of hundreds of thousands of cutting-edge AI chips housed in specialized data centers. These AI data centers are likely tempting targets for sophisticated adversaries like China and Russia, who may seek to steal intellectual property or sabotage AI systems underpinning military, industry, or critical infrastructure projects.

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Erich Grunewald Erich Grunewald

How AI Chips Are Made

Adapted from a section of a report by Erich Grunewald and Christopher Phenicie, this blog post introduces the core concepts and background information needed to understand the AI chip-making process.

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Blog Post Erich Grunewald Blog Post Erich Grunewald

Compute is a Strategic Resource

Computational power (“compute”) is a strategic resource in the way that oil and steel production capacity were in the past. Like oil, and like steel production capacity, compute is scarce, controllable, concentrated, and highly economically and militarily useful. Just as oil and steel were and remain strategic resources to some extent, compute is now also a strategic resource of very high importance.

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Research Report, Link Post Erich Grunewald Research Report, Link Post Erich Grunewald

Countering AI Chip Smuggling Has Become a National Security Priority: An Updated Playbook for Preventing AI Chip Smuggling to the PRC

The Center for a New American Security (CNAS), in collaboration with the Institute for AI Policy and Strategy, has released a new working paper which catalogues evidence that substantial quantities of advanced artificial intelligence (AI) chips are being smuggled into China, undermining U.S. national security.

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Issue Brief Asher Brass Issue Brief Asher Brass

Location Verification for AI Chips

Adding location verification features to AI chips could unlock new governance mechanisms for regulators, help enforce existing and future export controls by deterring and catching smuggling attempts, and enable post-sale verification of chip locations. This paper is meant to serve as an initial introduction to location verification use-cases for AI chips with comparison of different methods.

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Research Report, Link Post Onni Aarne Research Report, Link Post Onni Aarne

Secure, Governable Chips

Today, the Center for a New American Security (CNAS), in collaboration with the Institute for AI Policy and Strategy, has released a new report, Secure, Governable Chips, by Onni Aarne, Tim Fist, and Caleb Withers.

The report introduces the concept of “on-chip governance,” detailing how security features on AI chips could help mitigate national security risks from the development of broadly capable dual-use AI systems, while protecting user privacy.

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