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    A report on where the world's data centers are, in two kinds: the cloud regions of Amazon,
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    <meta title="Data Centers Worldwide" subject="Cloud regions and AI campuses" author="Brightwork Studio" />
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              <text font-size="s" bold="true" color="primary">Brightwork Studio</text>
              <text font-size="s" color="text-muted" data-value="report.title">Data Centers Worldwide</text>
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          <text font-size="s" bold="true" color="surface">BRIGHTWORK STUDIO</text>
          <text font-size="xxl" bold="true" color="surface" data-value="report.title">Data Centers Worldwide</text>
          <text color="surface" data-value="report.period">Cloud regions and AI campuses, October 2026</text>
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          <text font-size="l" bold="true" color="primary">Summary</text>
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          <text>
            Two kinds of data center are growing at once, and they are built for different
            reasons. Cloud regions are the established kind: Amazon, Microsoft and Google list
            132 between them, in 76 metro areas across six areas of the world.
            AI campuses are the new kind: single sites that draw hundreds of megawatts. Epoch AI
            tracks 93, and the 72 that are already running draw 13.7 GW of IT
            power, 86% of it in the United States.
          </text>
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            <text font-size="xl" bold="true" color="primary" data-value="summary.regions">132</text>
            <text font-size="s" color="text-muted">Cloud regions</text>
          </stack>
          <stack gap="xs">
            <text font-size="xl" bold="true" color="primary" data-value="summary.zones">353</text>
            <text font-size="s" color="text-muted">Availability zones</text>
          </stack>
          <stack gap="xs">
            <text font-size="xl" bold="true" color="ai" data-value="summary.running">72</text>
            <text font-size="s" color="text-muted">AI campuses running</text>
          </stack>
          <stack gap="xs">
            <text font-size="xl" bold="true" color="ai" data-value="summary.power">13.7 GW</text>
            <text font-size="s" color="text-muted">AI IT power today</text>
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          <text font-size="l" bold="true" color="primary">Two kinds of data center</text>
          <divider color="primary" thickness="xs" />
          <split equal="true" gap="m" align="start">
            <stack gap="s" padding="m" background="accent" radius="m">
              <text bold="true" color="primary">Cloud region</text>
              <text font-size="s">
                A group of data centers in one metro area, split into zones that fail
                independently.
              </text>
              <text font-size="s">
                Rented by the hour. Customers pick a region for speed, or for the law: some data
                must stay in its country.
              </text>
              <text font-size="s" color="text-muted">
                Counted in regions and zones. The providers do not publish building counts.
              </text>
            </stack>
            <stack gap="s" padding="m" background="ai-soft" radius="m">
              <text bold="true" color="ai">AI campus</text>
              <text font-size="s">
                One site built around a single very large cluster of accelerator chips, to train
                and run AI models.
              </text>
              <text font-size="s">
                Placed where a lot of power can be had quickly, not where the customers are.
              </text>
              <text font-size="s" color="text-muted">
                Counted in megawatts of IT power. The figures are Epoch AI's estimates, from
                permits, satellite images and company statements.
              </text>
            </stack>
          </split>
        </stack>

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          <text font-size="l" bold="true" color="primary">Cloud regions</text>
          <divider color="primary" thickness="xs" />
          <text>
            Counts are as listed in each provider's documentation in October 2026. The three
            lists overlap on purpose: the same metro areas, such as Northern Virginia, London,
            Tokyo and Singapore, appear in all three. 35 of the 76 metro areas
            have regions from more than one provider.
          </text>
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            <td padding="s"><text font-size="s" bold="true" color="surface">Provider</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface" align="right">Regions</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface" align="right">Zones</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface">Note</text></td>
          </thead>
          <tr data-source="providers">
            <td padding="s"><text font-size="s" bold="true" data-value="provider">AWS</text></td>
            <td padding="s"><text font-size="s" align="right" data-value="regions">34</text></td>
            <td padding="s"><text font-size="s" align="right" data-value="zones">108</text></td>
            <td padding="s"><text font-size="s" color="text-muted" data-value="note">Note</text></td>
          </tr>
          <tr>
            <td padding="s"><text font-size="s" bold="true" color="primary">Total</text></td>
            <td padding="s"><text font-size="s" bold="true" color="primary" align="right" data-value="summary.regions">132</text></td>
            <td padding="s"><text font-size="s" bold="true" color="primary" align="right" data-value="summary.zones">353</text></td>
            <td padding="s"><text font-size="s" color="text-muted" data-value="summary.metros">76 metro areas</text></td>
          </tr>
        </table>

        <stack gap="m" padding="0pt 0pt 14pt 0pt" paginate="no">
          <text>
            Azure lists the most regions, but 17 of its 57 have no
            availability zones and 8 are open only by request, so it lists fewer
            zones than Google, which has 41 regions and 124 zones. Asia Pacific
            has the most regions of any area, 43, ahead of Europe with 38 and
            North America with 31. Africa and South America have the fewest.
          </text>
        </stack>

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          <text font-size="l" bold="true" color="ai">AI campuses</text>
          <divider color="ai" thickness="xs" />
          <text>
            The largest running campus is Colossus 2, at 946 MW of IT power, ahead of Amazon New Carlisle
            and Fairwater Atlanta. Most of the growth is still to come. If the plans hold, the 81
            campuses on the map reach about 32 GW by 2029, more than twice what runs
            today. Outside the United States, Johor in Malaysia is the biggest hub, with two
            campuses and 895 MW, ahead of China with 731 MW. Planned power is Epoch
            AI's estimate of the full build-out.
          </text>
          <text font-size="s" bold="true">Largest running campuses</text>
        </stack>

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            <td padding="s"><text font-size="s" bold="true" color="surface">Campus</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface">Owner</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface">Location</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface" align="right">Today, MW</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface" align="right">Planned, MW</text></td>
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          <tr data-source="running">
            <td padding="s"><text font-size="s" bold="true" data-value="name">Colossus 2</text></td>
            <td padding="s"><text font-size="s" data-value="owner">SpaceXAI</text></td>
            <td padding="s"><text font-size="s" color="text-muted" data-value="where">Memphis, TN</text></td>
            <td padding="s"><text font-size="s" bold="true" align="right" data-value="now">946</text></td>
            <td padding="s"><text font-size="s" align="right" data-value="planned">1,531</text></td>
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        <stack gap="m" padding="0pt 0pt 14pt 0pt" paginate="no">
          <text>
            9 campuses show no running capacity yet. Most of them plan close to a
            gigawatt or more by 2028: Meta's Hyperion in Louisiana, and the Stargate sites in
            New Mexico, Texas, Michigan and Wisconsin and in Abu Dhabi.
          </text>
          <text font-size="s" bold="true">Under construction</text>
        </stack>

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            <td padding="s"><text font-size="s" bold="true" color="surface">Campus</text></td>
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            <td padding="s"><text font-size="s" bold="true" color="surface">Location</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface" align="right">Planned, MW</text></td>
            <td padding="s"><text font-size="s" bold="true" color="surface" align="right">Expected</text></td>
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          <tr data-source="building">
            <td padding="s"><text font-size="s" bold="true" data-value="name">Meta Hyperion</text></td>
            <td padding="s"><text font-size="s" data-value="owner">Meta</text></td>
            <td padding="s"><text font-size="s" color="text-muted" data-value="where">Holly Ridge, LA</text></td>
            <td padding="s"><text font-size="s" bold="true" align="right" data-value="planned">1,632</text></td>
            <td padding="s"><text font-size="s" align="right" data-value="expected">2028</text></td>
          </tr>
        </table>

        <stack gap="m" padding="0pt 0pt 14pt 0pt" paginate="no">
          <text font-size="l" bold="true" color="primary">What it means</text>
          <divider color="primary" thickness="xs" />
          <text>
            Cloud regions follow people. They sit in metro areas with many customers, and the lists
            now include recent regions in new countries: Mexico, Chile, Malaysia, New Zealand
            and Thailand.
          </text>
          <text>
            AI campuses follow power. They tend to sit in smaller places such as Abilene, New Albany
            and Pryor, where land is cheaper and large grid connections are available. That
            concentrates them: 86% of running power is in one country.
          </text>
          <text>
            The map on the last page shows both. Cloud regions spread across the metro areas of the
            world. AI campuses cluster, and most of them are in the United States.
          </text>
        </stack>

        <stack gap="m" paginate="no">
          <text font-size="l" bold="true" color="primary">Sources and method</text>
          <divider color="primary" thickness="xs" />
          <text font-size="s">
            Cloud regions: the AWS Regions table (docs.aws.amazon.com), the Azure regions list
            (learn.microsoft.com) and the Google Cloud regions and zones table
            (docs.cloud.google.com), read in October 2026. AWS's own tally is 39 regions and 124
            availability zones, because it also counts regions that need a separate account,
            such as GovCloud. We use the 34 in its account documentation.
          </text>
          <text font-size="s">
            AI campuses: Epoch AI, "AI data centers", epoch.ai/data/ai-data-centers, licensed
            CC BY 4.0, retrieved in October 2026. Epoch tracks 93 campuses. 81 are on
            the map: the 72 that run today and the 9 under construction. The
            other 12 draw no power yet and are left off.
          </text>
          <text font-size="s">
            Epoch gives addresses, not coordinates. We placed each marker by hand, at town level
            for campuses and metro level for cloud regions, so a marker can be off by a few
            kilometers.
          </text>
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        <text x="950.5pt" y="389.1pt" font-size="8pt" color="ai" font="bold">Johor, Malaysia</text>
        <text x="789.9pt" y="304.0pt" font-size="8pt" color="ai" font="bold">Abu Dhabi</text>
        <text x="913.1pt" y="229.9pt" font-size="8pt" color="ai" font="bold">Ulanqab, China</text>
        <text x="659.6pt" y="146.8pt" font-size="8pt" color="ai" font="bold">Narvik</text>
        <text x="260.6pt" y="202.8pt" font-size="7pt" color="text-muted">United States, enlarged below left</text>
        <text x="46.0pt" y="418.8pt" font-size="9pt" color="text-muted" font="bold">United States</text>
        <text x="195.6pt" y="470.3pt" font-size="7pt" color="ai" font="bold">1</text>
        <text x="187.9pt" y="510.8pt" font-size="7pt" color="ai" font="bold">3</text>
        <text x="142.3pt" y="525.8pt" font-size="7pt" color="ai" font="bold">4</text>
        <text x="230.7pt" y="497.2pt" font-size="7pt" color="ai" font="bold">5</text>
        <text x="180.8pt" y="524.9pt" font-size="7pt" color="ai" font="bold">6</text>
        <text x="149.2pt" y="528.2pt" font-size="7pt" color="ai" font="bold">7</text>
        <text x="226.6pt" y="460.2pt" font-size="7pt" color="ai" font="bold">8</text>
        <text x="209.3pt" y="453.9pt" font-size="7pt" color="ai" font="bold">9</text>
        <text x="181.4pt" y="539.0pt" font-size="7pt" color="ai" font="bold">10</text>
        <text x="262.2pt" y="497.6pt" font-size="7pt" color="ai" font="bold">14</text>
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        <text x="36.0pt" y="28.0pt" font-size="24pt" color="primary" font="bold">Where the data centers are</text>
        <text x="36.0pt" y="62.0pt" font-size="11pt" color="text-muted">132 cloud regions in 76 metro areas, and 81 AI campuses.</text>
        <circle cx="764.0pt" cy="28.0pt" r="3.2pt" fill="primary" />
        <text x="774.0pt" y="23.0pt" font-size="8pt" color="text-muted">Cloud region (AWS, Azure or Google). Darker where regions share a metro area.</text>
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        <text x="774.0pt" y="37.0pt" font-size="8pt" color="text-muted">AI campus running. Area follows IT power today.</text>
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        <text x="774.0pt" y="51.0pt" font-size="8pt" color="text-muted">Ring: planned IT power. Dashed: under construction.</text>
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        <text x="36.0pt" y="628.0pt" font-size="10pt" color="primary" font="bold">Cloud regions</text>
        <text x="36.0pt" y="646.0pt" font-size="9pt" color="#1a1a1a">AWS: 34 regions, 108 zones</text>
        <text x="36.0pt" y="660.0pt" font-size="9pt" color="#1a1a1a">Azure: 57 regions, 121 zones</text>
        <text x="36.0pt" y="674.0pt" font-size="9pt" color="#1a1a1a">Google: 41 regions, 124 zones</text>
        <text x="36.0pt" y="688.0pt" font-size="9pt" color="text-muted">132 regions in 76 metro areas.</text>
        <text x="330.0pt" y="628.0pt" font-size="10pt" color="ai" font="bold">AI campuses</text>
        <text x="330.0pt" y="646.0pt" font-size="9pt" color="#1a1a1a">72 running: 13.7 GW of IT power today.</text>
        <text x="330.0pt" y="660.0pt" font-size="9pt" color="#1a1a1a">9 under construction. About 32 GW planned by 2029.</text>
        <text x="330.0pt" y="674.0pt" font-size="9pt" color="#1a1a1a">86% of running power is in the United States.</text>
        <text x="330.0pt" y="688.0pt" font-size="9pt" color="text-muted">Johor, Malaysia is next, with 895 MW.</text>
        <text x="640.0pt" y="628.0pt" font-size="10pt" color="ai" font="bold">United States inset: IT power today / planned, MW</text>
        <text x="640.0pt" y="646.0pt" font-size="8pt" color="#1a1a1a">1  Mount Pleasant, WI: 369 / 2,263</text>
        <text x="640.0pt" y="659.0pt" font-size="8pt" color="#1a1a1a">2  New Carlisle, IN: 910 / 1,925</text>
        <text x="640.0pt" y="672.0pt" font-size="8pt" color="#1a1a1a">3  Memphis, TN: 1,286 / 1,871</text>
        <text x="640.0pt" y="685.0pt" font-size="8pt" color="#1a1a1a">4  Doña Ana County, NM: 0 / 1,750</text>
        <text x="640.0pt" y="698.0pt" font-size="8pt" color="#1a1a1a">5  New Albany, OH: 1,017 / 1,693</text>
        <text x="640.0pt" y="711.0pt" font-size="8pt" color="#1a1a1a">6  Holly Ridge, LA: 0 / 1,632</text>
        <text x="640.0pt" y="724.0pt" font-size="8pt" color="#1a1a1a">7  Shackelford County, TX: 0 / 1,400</text>
        <text x="830.0pt" y="646.0pt" font-size="8pt" color="#1a1a1a">8  Saline Township, MI: 0 / 988</text>
        <text x="830.0pt" y="659.0pt" font-size="8pt" color="#1a1a1a">9  Port Washington, WI: 0 / 902</text>
        <text x="830.0pt" y="672.0pt" font-size="8pt" color="#1a1a1a">10  Milam County, TX: 0 / 857</text>
        <text x="830.0pt" y="685.0pt" font-size="8pt" color="#1a1a1a">11  Abilene, TX: 421 / 843</text>
        <text x="830.0pt" y="698.0pt" font-size="8pt" color="#1a1a1a">12  Ridgeland, MS: 228 / 840</text>
        <text x="830.0pt" y="711.0pt" font-size="8pt" color="#1a1a1a">13  Canton, MS: 284 / 683</text>
        <text x="830.0pt" y="724.0pt" font-size="8pt" color="#1a1a1a">14  Sandston, VA: 562 / 658</text>
        <text x="1040.0pt" y="628.0pt" font-size="10pt" color="text-muted" font="bold">About this map</text>
        <text x="1040.0pt" y="646.0pt" font-size="8pt" color="text-muted">Markers sit at metro level for cloud</text>
        <text x="1040.0pt" y="658.0pt" font-size="8pt" color="text-muted">regions and town level for AI campuses.</text>
        <text x="1040.0pt" y="670.0pt" font-size="8pt" color="text-muted">Cloud regions: AWS, Azure and Google</text>
        <text x="1040.0pt" y="682.0pt" font-size="8pt" color="text-muted">documentation. AI campuses: Epoch AI,</text>
        <text x="1040.0pt" y="694.0pt" font-size="8pt" color="text-muted">CC BY 4.0. October 2026.</text>
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