Lessons Learned from Federal Use of Cloud Computing To Support Artificial Intelligence Research and Development
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.
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| description | 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. |
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| license | https://project-open-data.cio.gov/unknown-license/#v1-legacy/public |
| modified | 2022-07-15 |
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| title | Lessons Learned from Federal Use of Cloud Computing To Support Artificial Intelligence Research and Development |
