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CAREER: Enabling Secure and Efficient AI Infrastructure with CXL-Enabled Disaggregated Shared Memory

Organization University of California-Santa CruzLocation SANTA CRUZ, United StatesPosted 1 Apr 2026Deadline 31 Mar 2031
NSFUS FederalResearch GrantScience FoundationCA
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Large machine learning models are advancing healthcare, scientific discovery, economic innovation, and national security. As these models increase in scale and capability, they require unprecedented memory capacity, creating a critical bottleneck for future Artificial Intelligence (AI) infrastructure. Emerging technologies such as Compute Express…

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CAREER: Enabling Secure and Efficient AI Infrastructure with CXL-Enabled Disaggregated Shared Memory — University of Cal | Dev Procure