| dc.date.accessioned | 2022-11-10T19:18:40Z | |
| dc.date.available | 2022-11-10T19:18:40Z | |
| dc.date.issued | 2022-11-10 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/146345 | |
| dc.description.abstract | The Green AI Architecture Experimentation (GAIA-X) project is developing technologies to promote the concept of green computing by establishing foundational tools and proposing power-reduction strategies. The immediate goals center on developing intelligent tools and strategies to measure and track power consumption in the data center, and demonstrating the effectiveness of various power reduction strategies on AI training and experimentation. | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | The Bulletin; | |
| dc.rights | Attribution-NoDerivs 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/us/ | * |
| dc.subject | MIT Lincoln Laboratory | en_US |
| dc.subject | LLSC | en_US |
| dc.title | Green AI Architecture Experimentation | en_US |
| dc.type | Article | en_US |
