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

Metadata Updated: October 16, 2023

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.

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Metadata Created Date August 23, 2022
Metadata Updated Date October 16, 2023

Metadata Source

Harvested from NIRTD JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date August 23, 2022
Metadata Updated Date October 16, 2023
Publisher NCO NITRD
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
Schema Version
Catalog Describedby
Harvest Object Id d715de0e-684a-4eeb-9766-b69a0ca1a1be
Harvest Source Id fa17348a-aa9f-4a73-b6b3-76dd0242ddb3
Harvest Source Title NIRTD JSON
Homepage URL
Program Code 000:000
Source Datajson Identifier True
Source Hash a132a589b41d960af254d3c96fcfe9f507b2a97a9740f33adcaca1ff80fd3bc4
Source Schema Version 1.1

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