{
  "id": 10839705,
  "title": "Purlin: Separating Orchestration from the Datapath of Collectives",
  "url": "https://urgent.news/2026/09/29/purlin-separating-orchestration-from-the-datapath-of-collectives",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-29T07:57:27.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.36954v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Distributed inference depends on GPU collective communication that must keep pace with evolving hardware and specialized workloads. However, existing collective implementations often couple semantics, orchestration (where and when data moves), and the datapath (how data moves). This coupling makes it costly to adopt new hardware mechanisms and customize communication for applications. We present…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}