[
  {
    "id": "stellantis-mega-campus",
    "name": "Stellantis Mega Campus",
    "operator": "Stellantis / Archer Aerospace",
    "location": "Kokomo, Indiana, USA",
    "coordinates": {
      "lat": 40.4864,
      "lng": -86.1333
    },
    "status": "Under Construction",
    "capacity_mw": 100,
    "gpus": "TBD",
    "purpose": "AI training and autonomous vehicle research",
    "announced": "2025-03-15",
    "expected_online": "2026-Q3",
    "power_source": "Grid + solar",
    "investment_usd": 900000000,
    "sources": [
      "https://www.stellantis.com",
      "https://www.reuters.com"
    ],
    "tags": [
      "automotive",
      "training",
      "autonomous"
    ],
    "last_updated": "2026-06-20"
  },
  {
    "id": "abuden-saudi-ai",
    "name": "Project Transcendence",
    "operator": "Saudi Arabia PIF / Google",
    "location": "Eastern Province, Saudi Arabia",
    "coordinates": {
      "lat": 26.3969,
      "lng": 49.7886
    },
    "status": "Announced",
    "capacity_mw": 1000,
    "gpus": "TBD",
    "purpose": "Largest AI datacenter outside US — sovereign AI infrastructure",
    "announced": "2025-05-14",
    "expected_online": "2027-Q2",
    "power_source": "Solar + grid",
    "investment_usd": 100000000000,
    "sources": [
      "https://www.pif.gov.sa",
      "https://blog.google"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "middle-east"
    ],
    "last_updated": "2026-06-22"
  },
  {
    "id": "oracle-openai-abl",
    "name": "Stargate Abilene Campus",
    "operator": "Oracle / OpenAI / SoftBank",
    "location": "Abilene, Texas, USA",
    "coordinates": {
      "lat": 32.4487,
      "lng": -99.7331
    },
    "status": "Phase 1 Operational",
    "capacity_mw": 300,
    "gpus": "~100,000 H100s (Phase 1)",
    "purpose": "Stargate project — $500B OpenAI/Oracle/SoftBank partnership. 5.5 GW total across FIVE sites announced Sep 2025. Abilene is Phase 1.",
    "announced": "2024-08-01",
    "expected_online": "2025-Q4 (Phase 1)",
    "power_source": "Grid + on-site generation",
    "investment_usd": 500000000000,
    "sources": [
      "https://www.oracle.com",
      "https://openai.com",
      "https://www.texastribune.org"
    ],
    "tags": [
      "training",
      "frontier-models",
      "stargate",
      "mega-project"
    ],
    "last_updated": "2026-06-23"
  },
  {
    "id": "xai-memphis",
    "name": "xAI Memphis Supercluster",
    "operator": "xAI (Elon Musk)",
    "location": "Memphis, Tennessee, USA",
    "coordinates": {
      "lat": 35.1175,
      "lng": -89.9711
    },
    "status": "Operational",
    "capacity_mw": 150,
    "gpus": "100,000 H100s (expanding to 300,000 with H200s/GB200s)",
    "purpose": "Grok model training — world's largest AI training cluster",
    "announced": "2024-06-01",
    "expected_online": "2024-Q4 (operational)",
    "power_source": "Grid (TVA) + mobile generators",
    "investment_usd": 3000000000,
    "sources": [
      "https://x.ai",
      "https://www.commercialappeal.com"
    ],
    "tags": [
      "training",
      "frontier-models",
      "supercluster"
    ],
    "last_updated": "2026-06-21"
  },
  {
    "id": "amazon-cummings-center",
    "name": "AWS Cummings Center AI Campus",
    "operator": "Amazon Web Services",
    "location": "Cummings Research Park, Huntsville, Alabama, USA",
    "coordinates": {
      "lat": 34.7334,
      "lng": -86.6497
    },
    "status": "Under Construction",
    "capacity_mw": 200,
    "gpus": "TBD",
    "purpose": "AWS AI/ML training and inference infrastructure",
    "announced": "2025-12-10",
    "expected_online": "2027-Q1",
    "power_source": "Grid + nuclear SMR (planned)",
    "investment_usd": 11000000000,
    "sources": [
      "https://aws.amazon.com",
      "https://www.al.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "nuclear"
    ],
    "last_updated": "2026-06-19"
  },
  {
    "id": "meta-hyperion-louisiana",
    "name": "Meta Hyperion",
    "operator": "Meta Platforms",
    "location": "Richland Parish, Louisiana, USA",
    "coordinates": {
      "lat": 32.4132,
      "lng": -91.7804
    },
    "status": "Under Construction",
    "capacity_mw": 400,
    "gpus": "TBD (target: 100,000+ GPUs)",
    "purpose": "Meta's $200B Hyperion project — largest Meta datacenter and one of the largest AI infrastructure projects in history. AI training for Llama and beyond.",
    "announced": "2024-12-04",
    "expected_online": "2026-Q4",
    "power_source": "Grid + 300MW solar",
    "investment_usd": 200000000000,
    "sources": [
      "https://engineering.fb.com",
      "https://www.louisianaeconomicdevelopment.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "hyperion",
      "mega-project"
    ],
    "last_updated": "2026-06-18"
  },
  {
    "id": "microsoft-mount-pleasant",
    "name": "Microsoft Mount Pleasant AI Campus",
    "operator": "Microsoft / OpenAI",
    "location": "Mount Pleasant, Wisconsin, USA",
    "coordinates": {
      "lat": 42.5886,
      "lng": -87.9235
    },
    "status": "Under Construction",
    "capacity_mw": 250,
    "gpus": "TBD",
    "purpose": "Stargate Phase 2 — OpenAI training",
    "announced": "2025-01-20",
    "expected_online": "2027-Q1",
    "power_source": "Grid + nuclear (Three Mile Island restart)",
    "investment_usd": 7000000000,
    "power_deal": "Constellation Energy — Three Mile Island Unit 1 (837MW)",
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.constellationenergy.com"
    ],
    "on_page_seo": {
      "h1": "Microsoft Mount Pleasant AI Data Center — Stargate Phase 2",
      "meta_description": "Track the Microsoft-OpenAI Stargate Phase 2 datacenter in Mount Pleasant, WI: capacity, power, GPU count, and construction timeline.",
      "keywords": [
        "microsoft ai datacenter",
        "openai stargate",
        "mount pleasant wisconsin data center",
        "three mile island ai",
        "constellation energy ai"
      ]
    },
    "tags": [
      "hyperscaler",
      "training",
      "stargate",
      "nuclear"
    ],
    "last_updated": "2026-06-22"
  },
  {
    "id": "google-bergrath",
    "name": "Google Bergheim AI Campus",
    "operator": "Google Cloud",
    "location": "Bergheim, North Rhine-Westphalia, Germany",
    "coordinates": {
      "lat": 50.9753,
      "lng": 6.6391
    },
    "status": "Operational (Phase 1)",
    "capacity_mw": 150,
    "gpus": "TPU v5p / TPU Trillium",
    "purpose": "Google DeepMind training + European AI inference",
    "announced": "2024-01-10",
    "expected_online": "2025-Q3 (Phase 1 operational)",
    "power_source": "Grid (100% renewable PPA)",
    "investment_usd": 1000000000,
    "sources": [
      "https://blog.google",
      "https://www.google.com/about/datacenters"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "europe",
      "tpu"
    ],
    "last_updated": "2026-06-20"
  },
  {
    "id": "blackstone-quintus-x",
    "name": "Quintus-X AI Campus",
    "operator": "Blackstone / CoreWeave",
    "location": "West Columbia, Texas, USA",
    "coordinates": {
      "lat": 29.142,
      "lng": -95.656
    },
    "status": "Under Construction",
    "capacity_mw": 350,
    "gpus": "NVIDIA GB200 NVL72 clusters",
    "purpose": "CoreWeave cloud GPU infrastructure — leased to AI labs",
    "announced": "2025-08-20",
    "expected_online": "2026-Q3",
    "power_source": "Grid + on-site gas turbines",
    "investment_usd": 3500000000,
    "sources": [
      "https://www.coreweave.com",
      "https://www.blackstone.com"
    ],
    "tags": [
      "neocloud",
      "inference",
      "training",
      "gb200"
    ],
    "last_updated": "2026-06-21"
  },
  {
    "id": "digital-realty-portland",
    "name": "Digital Realty Portland AI Hub",
    "operator": "Digital Realty",
    "location": "Hillsboro, Oregon, USA",
    "coordinates": {
      "lat": 45.5228,
      "lng": -122.9858
    },
    "status": "Operational",
    "capacity_mw": 75,
    "gpus": "Heterogeneous (customer-supplied)",
    "purpose": "Colocation for AI tenants — carrier-neutral",
    "announced": "2023-06-15",
    "power_source": "Grid (largely hydro from BPA)",
    "investment_usd": 500000000,
    "sources": [
      "https://www.digitalrealty.com"
    ],
    "tags": [
      "colocation",
      "inference",
      "pacific-northwest"
    ],
    "last_updated": "2026-06-15"
  },
  {
    "id": "meta-indiana-ai",
    "name": "Meta Indiana AI Data Center",
    "operator": "Meta Platforms",
    "location": "Jeffersonville, Indiana, USA",
    "coordinates": {
      "lat": 38.2856,
      "lng": -85.7371
    },
    "status": "Under Construction",
    "capacity_mw": 200,
    "gpus": "TBD",
    "purpose": "$10B AI data center for Llama model training — one of Meta's largest facilities",
    "announced": "2026-01-15",
    "expected_online": "2027-Q3",
    "power_source": "Grid + solar PPA",
    "investment_usd": 10000000000,
    "sources": [
      "https://engineering.fb.com",
      "https://www.newsandtribune.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "midwest"
    ],
    "last_updated": "2026-06-23"
  },
  {
    "id": "missouri-hyperscale-corridor",
    "name": "Missouri Hyperscale Corridor",
    "operator": "Multiple (Google, Meta, LLC operators)",
    "location": "Kansas City / Independence, Missouri, USA",
    "coordinates": {
      "lat": 39.0997,
      "lng": -94.5786
    },
    "status": "Announced",
    "capacity_mw": 500,
    "gpus": "TBD",
    "purpose": "Emerging hyperscale cluster — multiple operators attracted by grid capacity and incentives",
    "announced": "2025-11-01",
    "expected_online": "2027-Q4",
    "power_source": "Grid (Evergy) + planned solar",
    "investment_usd": 5000000000,
    "sources": [
      "https://www.kcur.org",
      "https://www.missourieconomicdevelopment.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "midwest",
      "emerging-cluster"
    ],
    "last_updated": "2026-06-23"
  },
  {
    "id": "google-the-dalles",
    "name": "Google The Dalles AI Campus",
    "operator": "Google Cloud",
    "location": "The Dalles, Oregon, USA",
    "coordinates": {
      "lat": 45.6045,
      "lng": -121.1858
    },
    "status": "Operational (expanding)",
    "capacity_mw": 225,
    "gpus": "TPU v5p / TPU Trillium / H100 clusters",
    "purpose": "Google DeepMind training — one of Google's original and largest AI campuses",
    "announced": "2023-10-01",
    "expected_online": "Operational (Phase 4 expansion 2026-Q4)",
    "power_source": "Grid (BPA hydro) + solar PPA",
    "investment_usd": 600000000,
    "sources": [
      "https://www.google.com/about/datacenters",
      "https://www.bpa.gov"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "tpu",
      "pacific-northwest",
      "operational"
    ],
    "last_updated": "2026-06-22"
  },
  {
    "id": "crusoe-western-texas",
    "name": "Crusoe West Texas AI Campus",
    "operator": "Crusoe Energy Systems",
    "location": "Monahans, Texas, USA",
    "coordinates": {
      "lat": 31.5835,
      "lng": -102.8954
    },
    "status": "Phase 1 Operational",
    "capacity_mw": 100,
    "gpus": "NVIDIA H100s (expanding to GB200s)",
    "purpose": "Flared-gas-powered AI compute — first commercial stranded-energy AI campus",
    "announced": "2024-03-20",
    "expected_online": "2025-Q3 (Phase 1 operational)",
    "power_source": "Stranded natural gas (on-site generators)",
    "investment_usd": 800000000,
    "sources": [
      "https://crusoeenergy.com",
      "https://www.reuters.com"
    ],
    "tags": [
      "neocloud",
      "training",
      "stranded-energy",
      "texas",
      "innovative"
    ],
    "last_updated": "2026-06-20"
  },
  {
    "id": "microsoft-arizona-mesa",
    "name": "Microsoft Mesa AI Campus",
    "operator": "Microsoft Azure",
    "location": "Mesa, Arizona, USA",
    "coordinates": {
      "lat": 33.4152,
      "lng": -111.8315
    },
    "status": "Under Construction",
    "capacity_mw": 180,
    "gpus": "TBD",
    "purpose": "Azure AI training and inference — part of Microsoft's $80B AI infrastructure plan",
    "announced": "2025-09-05",
    "expected_online": "2027-Q2",
    "power_source": "Grid (SRP) + solar PPA",
    "investment_usd": 2500000000,
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.srpnet.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "arizona",
      "solar"
    ],
    "last_updated": "2026-06-19"
  },
  {
    "id": "microsoft-quincy-wa",
    "name": "Microsoft Quincy Data Center Campus",
    "operator": "Microsoft Azure",
    "location": "Quincy, Washington, USA",
    "coordinates": {
      "lat": 47.2349,
      "lng": -119.853
    },
    "status": "Operational",
    "capacity_mw": 200,
    "gpus": "H100 / H200 clusters (Azure ND series)",
    "purpose": "Azure AI training and inference — one of Microsoft's original hyperscale campuses powered by hydroelectric",
    "announced": "2007-01-01",
    "expected_online": "Operational (multiple phases, ongoing expansion)",
    "power_source": "Grid (Grant County PUD hydro)",
    "investment_usd": 2000000000,
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.google.com/about/datacenters"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "pacific-northwest",
      "hydro",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "microsoft-san-antonio-tx",
    "name": "Microsoft San Antonio Data Center",
    "operator": "Microsoft Azure",
    "location": "San Antonio, Texas, USA",
    "coordinates": {
      "lat": 29.4241,
      "lng": -98.4936
    },
    "status": "Operational",
    "capacity_mw": 160,
    "gpus": "H100 / H200 clusters",
    "purpose": "Azure AI infrastructure — large-scale training and inference for South-Central US region",
    "announced": "2008-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (CPS Energy) + wind PPA",
    "investment_usd": 1500000000,
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.cpsenergy.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "texas",
      "wind",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "microsoft-west-des-moines-ia",
    "name": "Microsoft West Des Moines AI Campus",
    "operator": "Microsoft Azure / OpenAI",
    "location": "West Des Moines, Iowa, USA",
    "coordinates": {
      "lat": 41.5775,
      "lng": -93.7114
    },
    "status": "Operational (expanding)",
    "capacity_mw": 250,
    "gpus": "H100 / H200 / GB200 clusters",
    "purpose": "OpenAI training infrastructure — one of the largest single-site AI training facilities in the US",
    "announced": "2009-01-01",
    "expected_online": "Operational (Phase 5 expansion 2027-Q1)",
    "power_source": "Grid (MidAmerican Energy) + wind",
    "investment_usd": 4000000000,
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.midamericanenergy.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "openai",
      "midwest",
      "wind",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "microsoft-boydton-va",
    "name": "Microsoft Boydton Data Center",
    "operator": "Microsoft Azure",
    "location": "Boydton, Virginia, USA",
    "coordinates": {
      "lat": 36.6658,
      "lng": -78.3875
    },
    "status": "Operational",
    "capacity_mw": 180,
    "gpus": "H100 / L40S clusters",
    "purpose": "Azure AI inference and training — East US region hub in Northern Virginia data center alley",
    "announced": "2010-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (Dominion Energy) + solar PPAs",
    "investment_usd": 1800000000,
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.dominionenergy.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "virginia",
      "east-us",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "microsoft-cheyenne-wy",
    "name": "Microsoft Cheyenne Data Center",
    "operator": "Microsoft Azure",
    "location": "Cheyenne, Wyoming, USA",
    "coordinates": {
      "lat": 41.14,
      "lng": -104.8202
    },
    "status": "Under Construction",
    "capacity_mw": 150,
    "gpus": "TBD (target: H200 / GB200)",
    "purpose": "Azure AI training — low-latency central US region with abundant wind power",
    "announced": "2025-06-15",
    "expected_online": "2027-Q1",
    "power_source": "Grid (PacifiCorp) + wind PPA",
    "investment_usd": 1200000000,
    "sources": [
      "https://blogs.microsoft.com",
      "https://www.wyomingbusiness.org"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "wyoming",
      "wind"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "google-council-bluffs-ia",
    "name": "Google Council Bluffs Data Center",
    "operator": "Google Cloud",
    "location": "Council Bluffs, Iowa, USA",
    "coordinates": {
      "lat": 41.2619,
      "lng": -95.8608
    },
    "status": "Operational (expanding)",
    "capacity_mw": 200,
    "gpus": "TPU v5p / TPU Trillium / H100 clusters",
    "purpose": "Google Cloud AI training and inference — one of Google's largest US campuses",
    "announced": "2007-01-01",
    "expected_online": "Operational (ongoing expansion)",
    "power_source": "Grid (MidAmerican Energy) + wind",
    "investment_usd": 5000000000,
    "sources": [
      "https://www.google.com/about/datacenters"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "tpu",
      "midwest",
      "wind",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "google-douglas-county-ga",
    "name": "Google Douglas County Data Center",
    "operator": "Google Cloud",
    "location": "Douglas County, Georgia, USA",
    "coordinates": {
      "lat": 33.7549,
      "lng": -84.7607
    },
    "status": "Operational",
    "capacity_mw": 175,
    "gpus": "TPU v5p / TPU Trillium / H100 clusters",
    "purpose": "Google Cloud AI infrastructure — Southeast US region hub",
    "announced": "2007-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (Georgia Power) + solar PPAs",
    "investment_usd": 2500000000,
    "sources": [
      "https://www.google.com/about/datacenters"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "tpu",
      "southeast-us",
      "solar",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "google-mayes-county-ok",
    "name": "Google Mayes County Data Center",
    "operator": "Google Cloud",
    "location": "Pryor Creek, Mayes County, Oklahoma, USA",
    "coordinates": {
      "lat": 36.302,
      "lng": -95.242
    },
    "status": "Operational",
    "capacity_mw": 150,
    "gpus": "TPU v5e / TPU Trillium / H100 clusters",
    "purpose": "Google Cloud AI training and inference — central US region",
    "announced": "2010-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (GRDA) + wind",
    "investment_usd": 3000000000,
    "sources": [
      "https://www.google.com/about/datacenters"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "tpu",
      "oklahoma",
      "wind",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "google-new-albany-oh",
    "name": "Google New Albany Data Center",
    "operator": "Google Cloud",
    "location": "New Albany, Ohio, USA",
    "coordinates": {
      "lat": 40.0812,
      "lng": -82.8185
    },
    "status": "Operational (expanding)",
    "capacity_mw": 160,
    "gpus": "TPU v5p / TPU Trillium / H100 clusters",
    "purpose": "Google Cloud AI infrastructure — Midwest US region hub",
    "announced": "2019-01-01",
    "expected_online": "Operational (Phase 3 expansion 2027-Q2)",
    "power_source": "Grid (AEP Ohio) + solar PPAs",
    "investment_usd": 2000000000,
    "sources": [
      "https://www.google.com/about/datacenters"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "tpu",
      "midwest",
      "solar",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "google-storey-county-nv",
    "name": "Google Storey County Data Center",
    "operator": "Google Cloud",
    "location": "Storey County, Nevada, USA",
    "coordinates": {
      "lat": 39.52,
      "lng": -119.75
    },
    "status": "Under Construction",
    "capacity_mw": 180,
    "gpus": "TPU Trillium / GB200 clusters",
    "purpose": "Google Cloud AI training — Tahoe-Reno Industrial Center campus",
    "announced": "2025-03-10",
    "expected_online": "2027-Q1",
    "power_source": "Grid (NV Energy) + geothermal PPA (Fervo Energy)",
    "investment_usd": 2200000000,
    "sources": [
      "https://www.google.com/about/datacenters",
      "https://fervoenergy.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "tpu",
      "nevada",
      "geothermal"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "amazon-ashburn-va",
    "name": "AWS Ashburn Data Center Complex",
    "operator": "Amazon Web Services",
    "location": "Ashburn, Virginia, USA",
    "coordinates": {
      "lat": 39.0438,
      "lng": -77.4875
    },
    "status": "Operational",
    "capacity_mw": 300,
    "gpus": "H100 / H200 / L40S / Trainium clusters",
    "purpose": "AWS US-East-1 region — largest AWS data center cluster, primary AI training and inference hub",
    "announced": "2006-01-01",
    "expected_online": "Operational (continuous expansion)",
    "power_source": "Grid (Dominion Energy) + solar PPAs",
    "investment_usd": 5000000000,
    "sources": [
      "https://aws.amazon.com",
      "https://www.dominionenergy.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "virginia",
      "east-us",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "amazon-boardman-or",
    "name": "AWS Boardman Data Center",
    "operator": "Amazon Web Services",
    "location": "Boardman, Oregon, USA",
    "coordinates": {
      "lat": 45.839,
      "lng": -119.726
    },
    "status": "Operational",
    "capacity_mw": 120,
    "gpus": "H100 / Trainium clusters",
    "purpose": "AWS US-West-2 region — Pacific Northwest AI training hub powered by hydro",
    "announced": "2011-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (BPA hydro) + solar",
    "investment_usd": 1500000000,
    "sources": [
      "https://aws.amazon.com",
      "https://www.bpa.gov"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "pacific-northwest",
      "hydro",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "amazon-umatilla-or",
    "name": "AWS Umatilla Data Center",
    "operator": "Amazon Web Services",
    "location": "Umatilla, Oregon, USA",
    "coordinates": {
      "lat": 45.808,
      "lng": -119.336
    },
    "status": "Under Construction",
    "capacity_mw": 200,
    "gpus": "H200 / Trainium2 / GB200 clusters",
    "purpose": "AWS US-West-2 expansion — large-scale AI training campus",
    "announced": "2025-04-20",
    "expected_online": "2027-Q2",
    "power_source": "Grid (BPA hydro) + wind",
    "investment_usd": 2500000000,
    "sources": [
      "https://aws.amazon.com",
      "https://www.bpa.gov"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "pacific-northwest",
      "hydro",
      "wind"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "meta-eagle-mountain-ut",
    "name": "Meta Eagle Mountain Data Center",
    "operator": "Meta Platforms",
    "location": "Eagle Mountain, Utah, USA",
    "coordinates": {
      "lat": 40.311,
      "lng": -111.783
    },
    "status": "Operational (expanding)",
    "capacity_mw": 150,
    "gpus": "H100 / MI300X / MTIA clusters",
    "purpose": "Meta AI training for Llama models — one of Meta's largest campuses",
    "announced": "2018-01-01",
    "expected_online": "Operational (Phase 3 expansion 2026-Q4)",
    "power_source": "Grid (Rocky Mountain Power) + solar",
    "investment_usd": 1800000000,
    "sources": [
      "https://engineering.fb.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "utah",
      "solar",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "meta-dekalb-il",
    "name": "Meta DeKalb Data Center",
    "operator": "Meta Platforms",
    "location": "DeKalb, Illinois, USA",
    "coordinates": {
      "lat": 41.929,
      "lng": -88.749
    },
    "status": "Operational",
    "capacity_mw": 120,
    "gpus": "H100 / MI300X clusters",
    "purpose": "Meta AI training — Midwest region campus for Llama and recommendation models",
    "announced": "2020-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (ComEd) + 100% renewable match",
    "investment_usd": 1200000000,
    "sources": [
      "https://engineering.fb.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "midwest",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "meta-sarpy-county-ne",
    "name": "Meta Sarpy County Data Center",
    "operator": "Meta Platforms",
    "location": "Papillion, Sarpy County, Nebraska, USA",
    "coordinates": {
      "lat": 41.154,
      "lng": -96.048
    },
    "status": "Operational",
    "capacity_mw": 130,
    "gpus": "H100 / MI300X clusters",
    "purpose": "Meta AI infrastructure — central US region campus",
    "announced": "2020-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (OPPD) + wind",
    "investment_usd": 1500000000,
    "sources": [
      "https://engineering.fb.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "midwest",
      "wind",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "meta-temple-tx",
    "name": "Meta Temple Data Center",
    "operator": "Meta Platforms",
    "location": "Temple, Texas, USA",
    "coordinates": {
      "lat": 31.0982,
      "lng": -97.3428
    },
    "status": "Under Construction",
    "capacity_mw": 180,
    "gpus": "H200 / MI300X / GB200 clusters (planned)",
    "purpose": "Meta AI training — $800M campus expansion for Llama and Reality Labs workloads",
    "announced": "2024-10-01",
    "expected_online": "2027-Q1",
    "power_source": "Grid (Oncor) + solar PPA",
    "investment_usd": 800000000,
    "sources": [
      "https://engineering.fb.com",
      "https://www.templetx.gov"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "texas",
      "solar"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "meta-huntsville-al",
    "name": "Meta Huntsville Data Center",
    "operator": "Meta Platforms",
    "location": "Huntsville, Alabama, USA",
    "coordinates": {
      "lat": 34.68,
      "lng": -86.74
    },
    "status": "Operational",
    "capacity_mw": 140,
    "gpus": "H100 / MI300X clusters",
    "purpose": "Meta AI infrastructure — Southeast US campus for training and inference",
    "announced": "2018-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (TVA) + solar",
    "investment_usd": 1500000000,
    "sources": [
      "https://engineering.fb.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "open-source",
      "southeast-us",
      "solar",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "oracle-mesa-az",
    "name": "Oracle Mesa Data Center Campus",
    "operator": "Oracle Cloud",
    "location": "Mesa, Arizona, USA",
    "coordinates": {
      "lat": 33.37,
      "lng": -111.72
    },
    "status": "Under Construction",
    "capacity_mw": 200,
    "gpus": "H200 / B200 / GB200 clusters",
    "purpose": "Oracle Cloud AI infrastructure — OCI supercluster training for OpenAI and other AI labs",
    "announced": "2025-07-15",
    "expected_online": "2027-Q1",
    "power_source": "Grid (SRP) + solar PPA",
    "investment_usd": 3000000000,
    "sources": [
      "https://www.oracle.com",
      "https://www.srpnet.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "arizona",
      "solar",
      "stargate"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "oracle-west-jordan-ut",
    "name": "Oracle West Jordan Data Center",
    "operator": "Oracle Cloud",
    "location": "West Jordan, Utah, USA",
    "coordinates": {
      "lat": 40.61,
      "lng": -111.94
    },
    "status": "Under Construction",
    "capacity_mw": 150,
    "gpus": "B200 / GB200 clusters (planned)",
    "purpose": "Oracle Cloud Infrastructure — AI supercluster for OCI compute services",
    "announced": "2025-10-01",
    "expected_online": "2027-Q2",
    "power_source": "Grid (Rocky Mountain Power) + solar",
    "investment_usd": 1800000000,
    "sources": [
      "https://www.oracle.com"
    ],
    "tags": [
      "hyperscaler",
      "training",
      "inference",
      "utah",
      "solar"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "coreweave-nj",
    "name": "CoreWeave New Jersey AI Campus",
    "operator": "CoreWeave",
    "location": "Edison, New Jersey, USA",
    "coordinates": {
      "lat": 40.5187,
      "lng": -74.4121
    },
    "status": "Operational",
    "capacity_mw": 80,
    "gpus": "H100 / H200 / L40S clusters",
    "purpose": "CoreWeave GPU cloud — primary East Coast neocloud facility",
    "announced": "2022-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (PSE&G)",
    "investment_usd": 500000000,
    "sources": [
      "https://www.coreweave.com"
    ],
    "tags": [
      "neocloud",
      "training",
      "inference",
      "east-us",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "coreweave-illinois",
    "name": "CoreWeave Illinois AI Campus",
    "operator": "CoreWeave",
    "location": "Aurora, Illinois, USA",
    "coordinates": {
      "lat": 41.7606,
      "lng": -88.1538
    },
    "status": "Under Construction",
    "capacity_mw": 120,
    "gpus": "GB200 NVL72 / H200 clusters",
    "purpose": "CoreWeave GPU cloud — Midwest hub for AI lab leasing",
    "announced": "2025-05-01",
    "expected_online": "2026-Q4",
    "power_source": "Grid (ComEd) + on-site generation",
    "investment_usd": 800000000,
    "sources": [
      "https://www.coreweave.com"
    ],
    "tags": [
      "neocloud",
      "training",
      "inference",
      "midwest",
      "gb200"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "lambda-labs-cloud",
    "name": "Lambda Cloud GPU Infrastructure",
    "operator": "Lambda Labs",
    "location": "San Jose, California, USA",
    "coordinates": {
      "lat": 37.3382,
      "lng": -121.8947
    },
    "status": "Operational",
    "capacity_mw": 50,
    "gpus": "H100 / H200 / GB200 clusters",
    "purpose": "Lambda on-demand GPU cloud — AI training and inference for startups and researchers",
    "announced": "2023-01-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (PG&E)",
    "investment_usd": 300000000,
    "sources": [
      "https://lambdalabs.com"
    ],
    "tags": [
      "neocloud",
      "training",
      "inference",
      "california",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "together-ai-infra",
    "name": "Together AI Training Cluster",
    "operator": "Together AI",
    "location": "San Francisco, California, USA",
    "coordinates": {
      "lat": 37.7749,
      "lng": -122.4194
    },
    "status": "Operational",
    "capacity_mw": 30,
    "gpus": "H100 / H200 clusters (partner-hosted)",
    "purpose": "Together AI inference and fine-tuning platform — GPU infrastructure for open-source model hosting",
    "announced": "2023-06-01",
    "expected_online": "Operational",
    "power_source": "Grid (partner data centers)",
    "investment_usd": 200000000,
    "sources": [
      "https://www.together.ai"
    ],
    "tags": [
      "neocloud",
      "inference",
      "training",
      "california",
      "open-source"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "crusoe-north-dakota",
    "name": "Crusoe North Dakota Digital Flaring Campus",
    "operator": "Crusoe Energy Systems",
    "location": "Bakken Formation, North Dakota, USA",
    "coordinates": {
      "lat": 46.8083,
      "lng": -100.7837
    },
    "status": "Phase 1 Operational",
    "capacity_mw": 50,
    "gpus": "H100 / L40S clusters",
    "purpose": "Stranded-gas-powered AI compute — reducing flaring emissions while powering GPU clusters",
    "announced": "2023-01-01",
    "expected_online": "Operational (Phase 2 expanding)",
    "power_source": "Stranded natural gas (on-site generators)",
    "investment_usd": 300000000,
    "sources": [
      "https://crusoeenergy.com"
    ],
    "tags": [
      "neocloud",
      "training",
      "stranded-energy",
      "north-dakota",
      "innovative",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "uae-g42-stargate",
    "name": "UAE G42 Stargate Abu Dhabi",
    "operator": "G42 / Microsoft / OpenAI",
    "location": "Abu Dhabi, UAE",
    "coordinates": {
      "lat": 24.4539,
      "lng": 54.3773
    },
    "status": "Announced",
    "capacity_mw": 500,
    "gpus": "TBD (target: GB200 / Rubin)",
    "purpose": "Sovereign AI infrastructure — UAE's flagship AI campus for the Middle East and Africa region",
    "announced": "2025-04-15",
    "expected_online": "2027-Q4",
    "power_source": "Grid + nuclear (Barakah) + solar",
    "investment_usd": 20000000000,
    "sources": [
      "https://www.g42.ai",
      "https://blogs.microsoft.com"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "middle-east",
      "nuclear",
      "mega-project"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "saudi-neom-ai",
    "name": "NEOM AI Campus",
    "operator": "NEOM / Saudi PIF",
    "location": "NEOM, Tabuk Region, Saudi Arabia",
    "coordinates": {
      "lat": 28.0333,
      "lng": 35.0333
    },
    "status": "Announced",
    "capacity_mw": 300,
    "gpus": "TBD",
    "purpose": "Futuristic AI campus within NEOM megaproject — sovereign AI and smart city compute",
    "announced": "2025-09-01",
    "expected_online": "2028-Q2",
    "power_source": "Solar + wind (NEOM renewable grid)",
    "investment_usd": 5000000000,
    "sources": [
      "https://www.neom.com",
      "https://www.pif.gov.sa"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "middle-east",
      "solar",
      "wind",
      "mega-project"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "south-korea-ai",
    "name": "South Korea AI Infrastructure Cluster",
    "operator": "Samsung / Naver Cloud",
    "location": "Gyeonggi Province, South Korea",
    "coordinates": {
      "lat": 37.2636,
      "lng": 127.0286
    },
    "status": "Under Construction",
    "capacity_mw": 100,
    "gpus": "Samsung SAIDIA / H100 / custom accelerators",
    "purpose": "South Korea's national AI infrastructure — sovereign AI training for HyperCLOVA X and government",
    "announced": "2024-09-01",
    "expected_online": "2027-Q1",
    "power_source": "Grid (KEPCO) + nuclear",
    "investment_usd": 3000000000,
    "sources": [
      "https://www.samsung.com",
      "https://www.naver.com"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "asia",
      "nuclear"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "japan-sakura-internet",
    "name": "Sakura Internet Ishikari AI Campus",
    "operator": "Sakura Internet",
    "location": "Ishikari, Hokkaido, Japan",
    "coordinates": {
      "lat": 43.227,
      "lng": 141.322
    },
    "status": "Phase 1 Operational",
    "capacity_mw": 50,
    "gpus": "H100 / H200 / GB200 clusters",
    "purpose": "Japan's leading AI cloud — powered by Hokkaido's cool climate and renewable energy",
    "announced": "2023-12-01",
    "expected_online": "2026-Q4 (Phase 2)",
    "power_source": "Grid (HEPCO) + geothermal + wind",
    "investment_usd": 800000000,
    "sources": [
      "https://www.sakura.ad.jp",
      "https://www.meti.go.jp"
    ],
    "tags": [
      "neocloud",
      "training",
      "inference",
      "asia",
      "geothermal",
      "innovative"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "india-yotta-data",
    "name": "Yotta D1 AI Data Center",
    "operator": "Yotta Infrastructure / Hiranandani Group",
    "location": "Navi Mumbai, Maharashtra, India",
    "coordinates": {
      "lat": 19.085,
      "lng": 73.02
    },
    "status": "Operational",
    "capacity_mw": 50,
    "gpus": "H100 / H200 clusters (scaling to 25,000+ GPUs)",
    "purpose": "India's largest AI data center — sovereign AI infrastructure for IndiaAI mission",
    "announced": "2024-01-01",
    "expected_online": "Operational (expanding to 500MW campus)",
    "power_source": "Grid (MSEDCL) + solar",
    "investment_usd": 500000000,
    "sources": [
      "https://www.yottadatacenter.com",
      "https://www.meity.gov.in"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "inference",
      "asia",
      "solar",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "france-jean-zay",
    "name": "Jean Zay Supercomputer Expansion",
    "operator": "GENCI / IDRIS (French Government)",
    "location": "Saclay, Île-de-France, France",
    "coordinates": {
      "lat": 48.7,
      "lng": 2.2
    },
    "status": "Operational (expanding)",
    "capacity_mw": 15,
    "gpus": "H100 / H200 clusters (2,048+ GPUs)",
    "purpose": "France's national AI supercomputer — EuroHPC joint undertaking, training for French and European AI research",
    "announced": "2023-06-01",
    "expected_online": "Operational (expansion 2026-Q4)",
    "power_source": "Grid (EDF, 90% nuclear)",
    "investment_usd": 250000000,
    "sources": [
      "https://www.genci.fr",
      "https://www.idris.fr"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "europe",
      "nuclear",
      "supercomputer",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "uk-ai-research-resource",
    "name": "UK AI Research Resource (AIRR)",
    "operator": "UKRI / University of Bristol",
    "location": "Bristol, United Kingdom",
    "coordinates": {
      "lat": 51.4545,
      "lng": -2.5879
    },
    "status": "Operational",
    "capacity_mw": 20,
    "gpus": "H100 clusters (Isambard-AI, 5,448 GPUs)",
    "purpose": "UK's national AI supercomputer — Isambard-AI at Bristol, for academic and industry AI research",
    "announced": "2023-10-01",
    "expected_online": "Operational",
    "power_source": "Grid + on-site solar",
    "investment_usd": 300000000,
    "sources": [
      "https://www.ukri.org",
      "https://www.bristol.ac.uk"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "europe",
      "supercomputer",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "canada-toronto-ai",
    "name": "Canada AI Compute Infrastructure (Toronto)",
    "operator": "Compute Canada / Vector Institute",
    "location": "Toronto, Ontario, Canada",
    "coordinates": {
      "lat": 43.6532,
      "lng": -79.3832
    },
    "status": "Operational",
    "capacity_mw": 15,
    "gpus": "H100 / H200 clusters",
    "purpose": "Canada's national AI compute — supporting Vector Institute and academic AI research",
    "announced": "2023-09-01",
    "expected_online": "Operational (expanding)",
    "power_source": "Grid (hydro + nuclear, 90% clean)",
    "investment_usd": 200000000,
    "sources": [
      "https://www.computecanada.ca",
      "https://vectorinstitute.ai"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "north-america",
      "hydro",
      "nuclear",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "singapore-ai",
    "name": "Singapore AI Compute Cluster",
    "operator": "Singtel / Digital Realty",
    "location": "Singapore",
    "coordinates": {
      "lat": 1.3521,
      "lng": 103.8198
    },
    "status": "Under Construction",
    "capacity_mw": 60,
    "gpus": "H100 / H200 / GB200 clusters",
    "purpose": "Singapore's national AI infrastructure — Southeast Asia AI hub for sovereign and regional AI compute",
    "announced": "2025-02-01",
    "expected_online": "2027-Q1",
    "power_source": "Grid (SP Group) + solar (rooftop + import)",
    "investment_usd": 800000000,
    "sources": [
      "https://www.singtel.com",
      "https://www.digitalrealty.com"
    ],
    "tags": [
      "sovereign-ai",
      "training",
      "inference",
      "asia",
      "solar"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "israel-nvidia-tel-aviv",
    "name": "NVIDIA Israel-1 Supercomputer",
    "operator": "NVIDIA",
    "location": "Tel Aviv, Israel",
    "coordinates": {
      "lat": 32.0853,
      "lng": 34.7818
    },
    "status": "Operational",
    "capacity_mw": 10,
    "gpus": "H100 / H200 / GH200 clusters",
    "purpose": "NVIDIA's Israel-1 supercomputer — AI research and development hub, one of the fastest in the region",
    "announced": "2023-05-01",
    "expected_online": "Operational",
    "power_source": "Grid (IEC) + solar",
    "investment_usd": 150000000,
    "sources": [
      "https://blogs.nvidia.com"
    ],
    "tags": [
      "nvidia",
      "training",
      "inference",
      "middle-east",
      "supercomputer",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "tmi-nuclear-powered",
    "name": "Three Mile Island Nuclear AI Campus",
    "operator": "Microsoft / Constellation Energy",
    "location": "Middletown, Pennsylvania, USA",
    "coordinates": {
      "lat": 40.154,
      "lng": -76.724
    },
    "status": "Announced",
    "capacity_mw": 837,
    "gpus": "TBD (dedicated to Microsoft / OpenAI training)",
    "purpose": "Nuclear-powered AI datacenter — 20-year PPA to restart TMI Unit 1 for Microsoft AI infrastructure",
    "announced": "2024-09-20",
    "expected_online": "2028-Q1 (pending NRC approval)",
    "power_source": "Nuclear (Three Mile Island Unit 1 restart, 837MW)",
    "investment_usd": 1600000000,
    "power_deal": "Constellation Energy — 20-year PPA for 837MW",
    "sources": [
      "https://www.constellationenergy.com",
      "https://blogs.microsoft.com"
    ],
    "tags": [
      "nuclear",
      "training",
      "innovative",
      "pennsylvania",
      "mega-project"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "quad-cities-nuclear",
    "name": "Quad Cities Nuclear AI Power Deal",
    "operator": "Microsoft / Constellation Energy",
    "location": "Cordova, Illinois, USA",
    "coordinates": {
      "lat": 41.67,
      "lng": -90.38
    },
    "status": "Announced",
    "capacity_mw": 828,
    "gpus": "TBD",
    "purpose": "Nuclear power restart for AI datacenter supply — Quad Cities nuclear station PPA (Units 1 & 2, ~1870MW combined)",
    "announced": "2025-09-01",
    "expected_online": "2028-Q2 (pending regulatory approval)",
    "power_source": "Nuclear (Quad Cities Units 1 & 2 restart, ~1870MW combined)",
    "investment_usd": 1000000000,
    "power_deal": "Constellation Energy — Quad Cities nuclear PPA",
    "sources": [
      "https://www.constellationenergy.com",
      "https://blogs.microsoft.com"
    ],
    "tags": [
      "nuclear",
      "training",
      "innovative",
      "illinois",
      "mega-project"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "fervo-geothermal",
    "name": "Fervo Energy Geothermal AI Campus",
    "operator": "Fervo Energy / Google",
    "location": "northern Nevada, USA",
    "coordinates": {
      "lat": 39.85,
      "lng": -117.55
    },
    "status": "Phase 1 Operational",
    "capacity_mw": 50,
    "gpus": "TPU v5p / TPU Trillium clusters",
    "purpose": "Next-gen geothermal-powered AI compute — enhanced geothermal systems (EGS) powering Google datacenters",
    "announced": "2023-08-01",
    "expected_online": "Operational (scaling to 350MW by 2027)",
    "power_source": "Enhanced geothermal (Fervo Energy EGS, 24/7 carbon-free)",
    "investment_usd": 400000000,
    "sources": [
      "https://fervoenergy.com",
      "https://blog.google"
    ],
    "tags": [
      "geothermal",
      "training",
      "innovative",
      "nevada",
      "renewable",
      "operational"
    ],
    "last_updated": "2026-06-24"
  },
  {
    "id": "subsea-datacenter",
    "name": "Project Natick Subsea Datacenter (Concept)",
    "operator": "Microsoft Research",
    "location": "Orkney, Scotland, UK",
    "coordinates": {
      "lat": 58.7,
      "lng": -3.3
    },
    "status": "Announced",
    "capacity_mw": 5,
    "gpus": "TBD (experimental)",
    "purpose": "Experimental underwater datacenter concept — natural cooling and reduced latency for coastal populations",
    "announced": "2018-06-01",
    "expected_online": "TBD (research phase, potential commercial deployment 2028+)",
    "power_source": "Grid (subsea cable) + tidal (concept)",
    "investment_usd": 50000000,
    "sources": [
      "https://docs.microsoft.com/en-us/sustainability",
      "https://blogs.microsoft.com"
    ],
    "tags": [
      "innovative",
      "subsea",
      "experimental",
      "europe",
      "research"
    ],
    "last_updated": "2026-06-24"
  }
]