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    "story_id": "mp-2026-08-15-027",
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    "position": 16,
    "story_type": "dispatch",
    "section": "infrastructure",
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    "headline": "The Greenest Data Center Was Not the Fastest One",
    "slug": "the-greenest-data-center-was-not-the-fastest-one",
    "dek": "InFactPlanner compares energy, carbon, water, latency and utilization before an LLM-serving deployment is built.",
    "summary": "InFactPlanner compares energy, carbon, water, latency and utilization before an LLM-serving deployment is built.",
    "body_text": "The trace-driven planning tool combines workload traces, hardware profiles, site capacity, power and water effectiveness, renewable generation and time-varying grid carbon. Its accounting reproduced reference inference-energy estimates within 10 percent, then explored hardware, location, renewable placement and routing scenarios. The case studies show sustainability-optimal choices can diverge from latency-optimal ones and depend on the local grid mix; the framework estimates alternatives rather than measuring a finished facility.",
    "why_it_matters": "InFactPlanner compares energy, carbon, water, latency and utilization before an LLM-serving deployment is built.",
    "limitations": [],
    "importance": 8,
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    "first_published_at": "2026-08-15T09:00:00.000-04:00",
    "modified_at": "2026-08-15T09:00:00.000-04:00",
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    "source_ids": [
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    "tags": [
      "data centers",
      "sustainability",
      "LLM inference",
      "planning"
    ],
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  "sources": [
    {
      "source_id": "source-2026-08-15-016",
      "title": "arXiv preprint 2608.12915",
      "publisher": "arXiv",
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      "published_at": "2026-08-13T03:57:22.000-04:00",
      "accessed_at": "2026-08-15T08:29:11.931-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Greenest Data Center Was Not the Fastest One",
    "publisher": "The Machine Press",
    "published_at": "2026-08-15T09:00:00.000-04:00",
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