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PreprintCC BY-NC-ND 4.0arXiv

Operational Challenges in Efficient and Sustainable Operation of the Event Processing Nodes GPU Farm at the ALICE Experiment

  • Federico Ronchetti
  • Giada Erba
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Abstract

ALICE's Event Processing Nodes (EPN) farm is CERN's largest GPU computing facility by capacity, comprising 350 GPU-based nodes and 2800 GPUs delivering approximately a total of 48\,PFLOP/s. It has successfully enabled real-time processing of heavy-ion collisions at 50\,kHz during LHC Run~3. The facility was designed for sustainability, extended hardware lifetime, and reduced operational overhead. High availability is supported by a robust technical architecture and well-defined operational practices, ensuring reliable and continuous operation throughout data taking.

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Cite

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BibTeX
@misc{ronchetti2026operational,
  title = {{Operational Challenges in Efficient and Sustainable Operation of the Event Processing Nodes GPU Farm at the ALICE Experiment}},
  author = {Federico Ronchetti and Giada Erba},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.06586},
  eprint = {2611.06586},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.06586},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - UNPB
TI  - Operational Challenges in Efficient and Sustainable Operation of the Event Processing Nodes GPU Farm at the ALICE Experiment
AU  - Federico Ronchetti
AU  - Giada Erba
PY  - 2026
DA  - 2026/11/04
PB  - arXiv
DO  - 10.48550/arxiv.2611.06586
UR  - https://arxiv.org/abs/2611.06586
AB  - ALICE's Event Processing Nodes (EPN) farm is CERN's largest GPU computing facility by capacity, comprising 350 GPU-based nodes and 2800 GPUs delivering approximately a total of 48\,PFLOP/s. It has successfully enabled real-time processing of heavy-ion collisions at 50\,kHz during LHC Run~3. The facility was designed for sustainability, extended hardware lifetime, and reduced operational overhead. High availability is supported by a robust technical architecture and well-defined operational practices, ensuring reliable and continuous operation throughout data taking.
ER  -