{
  "id": 8247703,
  "title": "Google, Nvidia, and Emerald AI launch Alliance to advance data centers that dynamically adjust electricity use based on grid conditions",
  "url": "https://urgent.news/2026/09/18/google-nvidia-and-emerald-ai-launch-alliance-to-advance-data-centers",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-18T13:00:00.000Z",
  "source": {
    "name": "TechRadar",
    "slug": "techradar",
    "url": "https://www.techradar.com/pro/google-nvidia-and-emerald-ai-launch-alliance-to-advance-data-centers-that-dynamically-adjust-electricity-use-based-on-grid-conditions"
  },
  "original_language": "en",
  "account": "A new alliance, the AI Energy Management Alliance (AEMA), has been formed by tech giants Google, Nvidia, and Emerald AI. The group aims to create future data centers that dynamically adjust electricity use based on grid conditions. This development stems from rising power availability pressures, which cause delays in new project construction. The alliance seeks to shift compute workloads to off-peak times, use on-site batteries or generation, and export excess stored energy back to the grid during stress periods. Nvidia's Head of Sustainability, Josh Parker, explained that these future campuses could also discharge storage or respond to other system contingencies to dynamically change electricity consumption. The AEMA must now establish technical specifications, performance metrics, and open standards to enable this technology at scale. While only the founding members are currently involved, additional partners like Anthropic are expected to join. Although not entirely novel, the concept gains significant importance when implemented at a larger scale. Both Nvidia and Emerald AI have already developed software to manage power consumption in relation to the grid. The alliance's creation aims to help the US build the intelligence infrastructure at the required speed and sustainability. However, energy pressures continue to mount, with US data centers potentially consuming as much natural gas as the entire of Germany and Japan combined by 2035, and total US data center energy consumption projected to surpass 426 TWh by 2030.",
  "summary": "The AI Energy Management Alliance wants to lay the framework for how future data centers can use energy more sympathetically with the grid.",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 5,
    "also_reported_by": [
      {
        "outlet": "TechCrunch",
        "title": "UN turns to Google to make its global data ready for AI agents",
        "url": "https://urgent.news/2026/09/17/un-turns-to-google-to-make-its-global-data-ready-for-ai-agents",
        "published": "2026-09-17T20:00:00.000Z"
      },
      {
        "outlet": "SiliconANGLE",
        "title": "Nvidia, Google and Emerald AI launch flexible data center consortium",
        "url": "https://urgent.news/2026/09/17/nvidia-google-and-emerald-ai-launch-flexible-data-center-consortium",
        "published": "2026-09-17T20:37:36.000Z"
      },
      {
        "outlet": "Tech in Asia",
        "title": "UN, Google launch data platform for AI-powered statistics",
        "url": "https://urgent.news/2026/09/18/un-google-launch-data-platform-for-ai-powered-statistics",
        "published": "2026-09-18T00:02:05.000Z"
      },
      {
        "outlet": "Quartz",
        "title": "NVIDIA and Google are launching a coalition to make AI data centers flex their power use",
        "url": "https://urgent.news/2026/09/18/nvidia-and-google-are-launching-a-coalition-to-make-ai-data-centers",
        "published": "2026-09-18T13:30:54.000Z"
      }
    ]
  },
  "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."
}