NSF award 2504401 · University of Virginia Main Campus

OAC Core: RINAS: Data I/O CyberInfrastructure for Extreme-scale Foundation Model and Generative AI Training on HPC

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2504401
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $599,091
Awardee: University of Virginia Main Campus, Charlottesville, VA
Program: Data Cyberinfrastructure
Directorate: CSE

Abstract

The RINAS project researches techniques to enable modern AI to be trained using fewer computer resources. Large Language Models (LLMs) have significant computer resource demands, and all modern AI applications across different areas and with various data types will exhibit similar demands on the underlying cyberinfrastructure. AI training is unusually sensitive to the performance of the data center disks on which…

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