NSF award 2543427 · University of California-Santa Cruz

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

Final report due

29 July 2031

in 1,745 days · The award ends on 31 March 2031.

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Decide about an extension1 Dec 2030in 1505 days
award ending 2031-03-31 · Research.gov
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Extension request14 Feb 2031in 1580 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Mar 2031in 1615 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Jul 2031in 1745 days
award ending 2031-03-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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How we got this date

NSF lists this award's end date as 31 March 2031.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 July 2031.

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Award card

Award number: 2543427
Period of support: 1 Apr 2026 – 31 Mar 2031
Amount: $730,000
Awardee: University of California-Santa Cruz, Santa Cruz, CA
Program: Software & Hardware Foundation
Directorate: CSE

Abstract

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 Link (CXL) enable large-scale memory resources to be shared across…

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