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Lessons Learned from Federal Use of Cloud Computing To Support Artificial Intelligence Research and Development

Metadata Updated: May 14, 2025

This document aims to capture lessons learned from the activities spearheaded by various agencies to enhance access to cloud computing resources to advance federally funded AI R&D and highlight potential opportunities going forward for optimizing Federal use of commercial cloud as a component of broader efforts to further AI R&D that can accelerate scientific discovery and address societal challenges. This report focuses specifically on the progress Federal departments and agencies are making pursuant to the directive in EO 13859 to prioritize allocation of high-performance computing resources for AI.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date August 23, 2022
Metadata Updated Date May 14, 2025

Metadata Source

Harvested from NIRTD JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date August 23, 2022
Metadata Updated Date May 14, 2025
Publisher NCO NITRD
Maintainer
Identifier 000-000-122
Language en-US
Data Last Modified 2022-07-15
Category publications
Public Access Level public
Bureau Code 100:65
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id bd47bebc-930c-4fdd-b1a8-35dd25647f90
Harvest Source Id fa17348a-aa9f-4a73-b6b3-76dd0242ddb3
Harvest Source Title NIRTD JSON
Homepage URL https://www.nitrd.gov/
License https://project-open-data.cio.gov/unknown-license/#v1-legacy/public
Program Code 000:000
Source Datajson Identifier True
Source Hash 419773e58364dba5f2a0d2ed841909fb5cd5ee79a7a7500e65ae43f69d38131a
Source Schema Version 1.1

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