001 | 1019411 | ||
005 | 20250822121412.0 | ||
024 | 7 | _ | |a 10.34734/FZJ-2023-05369 |2 datacite_doi |
037 | _ | _ | |a FZJ-2023-05369 |
041 | _ | _ | |a English |
100 | 1 | _ | |a John, Chelsea Maria |0 P:(DE-Juel1)187395 |b 0 |e Corresponding author |u fzj |
111 | 2 | _ | |a WHPC@SC23: 16th International Women in HPC Workshop |g WHPC@SC23 |c Denver, Colorado |d 2023-11-12 - 2023-11-17 |w USA |
245 | _ | _ | |a OpenGPT-X: Novel Architecture Exploration |
260 | _ | _ | |c 2023 |
300 | _ | _ | |a 2 |
336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
336 | 7 | _ | |a conferenceObject |2 DRIVER |
336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1702543417_9947 |2 PUB:(DE-HGF) |
520 | _ | _ | |a The OpenGPT-X project is a German initiative with ten collaborators to build, train, and deploy a multilingual open-source language model. Models trained within the project will be used for pilot cases by industry partners and commercialized through the Gaia-X Federation. Due to the substantial memory and compute resources required for efficiently training large language models, high-performance computing systems such as JUWELS Booster1 are essential. This paper presents the results of the exploration of novel hardware architecture conducted within the scope of the project. |
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536 | _ | _ | |a OpenGPT-X - Aufbau eines Gaia-X Knotens für große KI-Sprachmodelle und innovative Sprachapplikations-Services; Teilvorhaben: Optimierung und Skalierung auf großen HPC-Systemen (68GX21007F) |0 G:(DE-Juel-1)68GX21007F |c 68GX21007F |x 2 |
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700 | 1 | _ | |a Herten, Andreas |0 P:(DE-Juel1)145478 |b 1 |
856 | 4 | _ | |u https://zenodo.org/doi/10.5281/zenodo.10116241 |
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