{
  "id": 14587,
  "url": "https://arxiv.org/abs/2607.26566v1",
  "title": "ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform",
  "summary": "Text-to-image (T2I) workflows are increasingly deployed on serverless platforms because users often compose customized workflows and invoke them intermittently. Existing platforms typically deploy each workflow as an opaque GPU function, provisioning, placing, and scaling all constituent models in the workflow together. This monolithic design obscures workflow structure, inflates scaling overhead, forces users to manage low-level GPU coordination, and limits fine-grained fairness in multi-tenant",
  "authors": "Xiaoxiao Jiang, Suyi Li, Sheng Yao, Tianyu Feng, Lingyun Yang, Dapeng Nie et al.",
  "category": "research",
  "topics": "bias-fairness",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T07:39:56.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/14587",
  "original_url": "https://arxiv.org/abs/2607.26566v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}