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CAREER: Enabling Efficient AI Computing at Scale with Heterogeneous Retention-Aware Memory Systems

Organization Stanford UniversityLocation STANFORD, United StatesPosted 1 Sept 2026Deadline 31 Aug 2031
NSFUS FederalResearch GrantScience FoundationCA
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Modern artificial intelligence (AI) systems are increasingly limited not by arithmetic, but by memory. As frontier AI models become more capable, they require far more data to be moved, stored, and accessed efficiently. These workloads systematically generate large volumes of short-lived data that are written in memory, consumed, and quickly…

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CAREER: Enabling Efficient AI Computing at Scale with Heterogeneous Retention-Aware Memory Systems — Stanford University | Dev Procure