{
  "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.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": "2611.06586",
  "author_total": 2,
  "authors": [
    {
      "name": "Federico Ronchetti"
    },
    {
      "name": "Giada Erba"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/fbcqhzdmd09qg.bib",
  "cited_by": 0,
  "doi": "10.48550/arxiv.2611.06586",
  "fulltext_url": null,
  "id": "fbcqhzdmd09qg",
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  "landing_url": "https://arxiv.org/abs/2611.06586",
  "language": null,
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
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  "pdf_url": "https://arxiv.org/pdf/2611.06586",
  "pmcid": null,
  "pmid": null,
  "published": "2026-11-04",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/fbcqhzdmd09qg.ris",
  "sources": [
    {
      "first_seen": "2026-11-05T15:20:56Z",
      "native_id": "2611.06586",
      "source": "arxiv",
      "url": "https://arxiv.org/abs/2611.06586"
    }
  ],
  "subjects": [
    {
      "field": "physics",
      "origin": "arxiv:hep-ex",
      "subfield": "high-energy"
    }
  ],
  "title": "Operational Challenges in Efficient and Sustainable Operation of the Event Processing Nodes GPU Farm at the ALICE Experiment",
  "title_text": "Operational Challenges in Efficient and Sustainable Operation of the Event Processing Nodes GPU Farm at the ALICE Experiment",
  "type": "preprint",
  "updated_at": "2026-11-08T21:20:26Z",
  "url": "https://research.draconitic.com/paper/fbcqhzdmd09qg",
  "venue": "arXiv",
  "versions": []
}