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AI Data Center Power Statistics: 2026 Report

Our analysts compiled power figures covering 2007 to 2026, plus forecasts to 2035, from 23 sources, including NVIDIA, Uptime Institute, Lawrence Berkeley National Laboratory, the Energy Information Administration, PJM Interconnection, and utility filings with the Federal Energy Regulatory Commission, across five levels from a single AI server to the US grid. The aim was to show how fast AI data center power demand is rising as of Q4 2026.

In the following sections, we compare the power ratings of NVIDIA AI servers, the rack densities of AI and typical data centers, the power buildings use for cooling, US data center electricity use through 2030, US commercial electricity sales through 2027, grid forecasts and connection queues, and the US share of global data center electricity.

Key Findings

  • US data centers used 176 terawatt-hours (TWh) of electricity in 2023, or 4.4% of all US electricity, up from 76 TWh and 1.9% in 2018 [2].
  • Utility forecasts filed with the Federal Energy Regulatory Commission (FERC) in 2025 projected 166 gigawatts (GW) of US summer peak demand growth over five years, nearly seven times the 24 GW in forecasts filed in 2022 [10].
  • The share of data center operators whose densest rack draws 50 kilowatts (kW) or more rose from 6% in 2023 to 13% in 2026 [8].
  • The Electric Power Research Institute (EPRI) projects US data center peak load to grow from 21 to 22 GW in 2024 to a range of 45 to 94 GW in 2030 [4].
  • Global data center electricity use rose 17% in 2025 to 485 TWh, and electricity use at AI-focused data centers rose 50% [7].

Power Ratings of NVIDIA AI Servers

We reviewed the maximum power and heat output that NVIDIA publishes in its DGX user guides and GPU product pages for three generations of eight-GPU DGX servers, and the maximum power of the power supply built into a GB200 NVL72 rack, because a data center has to supply and cool the rated power of every server it installs.

NVIDIA's GB200 NVL72 is a whole-rack system holding 72 GPUs across 18 compute trays, fed by eight power shelves that can each deliver up to 33 kW [20]. That is 264 kW of power-shelf capacity in one rack, well above the 132 kW per rack that Schneider Electric's GB200 design plans for [22].

The International Energy Agency (IEA) estimates that the power density of AI servers increased 11 times from 2020 to 2025 and is set to rise about four times more by 2027 [7].

Maximum power ratings of NVIDIA DGX AI servers and GPUs

SystemGPU max power (each)System max powerHeat outputHeight in rack
DGX A100 (8 x A100 SXM)400 W6.5 kW22,179 BTU/hr6U
DGX H100 (8 x H100 SXM)up to 700 W10.2 kW38,557 BTU/hr8U
DGX B200 (8 x B200)1,000 W14.3 kW48,794 BTU/hr10U

Source: NVIDIA A100 and H100 product pages [18][19]; NVIDIA DGX A100, DGX H100/H200, and DGX B200 user guides [15][16][17], where GPU figures for A100 and H100 are maximum thermal design power for the SXM versions and the B200 figure is the maximum power per GPU with all power supplies running.

Bar chart of maximum power by NVIDIA DGX AI server generation: DGX A100 6.5 kW, DGX H100 10.2 kW, and DGX B200 14.3 kW, with GPU maximum power of 400 W, up to 700 W, and 1,000 W each

Key Findings

AI Rack Density Compared With Typical Data Center Racks

We compared the average rack density of NVIDIA AI rack designs from Schneider Electric with the typical racks in Uptime Institute's operator surveys, because the gap shows how much more power and cooling an AI hall needs than the halls most operators run today.

Schneider Electric reports that general-purpose server racks went from about 3 kW to around 10 kW over 25 years [21]. Its published retrofit designs for existing buildings reach 40 kW per rack with air cooling and 73 kW with liquid cooling, and its new-build designs reach 132 kW for GB200 NVL72 and 142 kW for GB300 NVL72 [22]. Uptime reports that 27% of its survey respondents work in data centers more than 15 years old [8].

Average rack density of NVIDIA AI rack designs and of typical data center racks, 2022 to 2026

YearNVIDIA design (Schneider Electric figures)AI rack densityAverage typical rack, all operators (Uptime)Average typical rack, excluding high-density sites (Uptime)
2022DGX SuperPOD, A100about 25 kWn/an/a
2023DGX SuperPOD, H100about 40 kWn/an/a
2024DGX SuperPOD, GH20072 kW8.3 kW6.8 kW
2025GB200about 132 kWabout 9 kW7.5 kW
2026VR200 (projection)potentially 240 kWmore than 11 kW7.8 kW

Source: Schneider Electric blog, July 23, 2025 [21]; Uptime Institute Global Data Center Survey 2025 [9] and 2026 [8], where Uptime's figures are the average of each operator's most common rack density (n=679 in 2026) and high-density sites are those whose most common rack is 30 kW or more.

Line chart of rack density from 2022 to 2026: NVIDIA AI rack designs from Schneider Electric rise from about 25 kW in 2022 to about 40 kW, 72 kW, and about 132 kW in 2025, with a 240 kW projection for the VR200 in 2026, while the average typical rack in Uptime Institute surveys is 8.3 kW in 2024, about 9 kW in 2025, and more than 11 kW in 2026

Key Findings

Uptime reports that the racks of 50 kW or more include some above 100 kW [8].

Highest rack density reported by data center operators, 2023 to 2026

Survey yearRespondentsDensest rack below 30 kWDensest rack 30 to 49 kWDensest rack 50 kW or more
202368786%7%6%
202472183%9%8%
202570982%10%9%
202667676%11%13%

Source: Uptime Institute Global Data Center Survey 2026, Figure 4 [8], with figures rounded by Uptime so they may not add to 100%.

Stacked bars of the highest rack density that operators report, 2023 to 2026: the share with a densest rack of 50 kW or more rises from 6% to 8%, 9%, and 13%, the share at 30 to 49 kW goes from 7% to 9%, 10%, and 11%, and the share below 30 kW falls from 86% to 76%

Key Findings

Power Used for Cooling and Other Building Systems

We reviewed the average annual power usage effectiveness (PUE) that data center operators reported to Uptime Institute from 2007 to 2026, because it shows how much extra power a building draws for cooling and other systems on top of what its servers use, and a utility has to supply that extra power too.

Uptime reports that the average PUE of respondents' largest data centers was 1.45 in 2026, and that 23% of respondents work in a data center that averages below 1.3 [8].

Average annual PUE reported by data center operators, 2007 to 2026

YearAverage PUENon-IT share of total facility power
20072.5060.0%
20111.9849.5%
20141.6539.4%
20181.5836.7%
20191.6740.1%
20201.5937.1%
20211.5736.3%
20221.5535.5%
20231.5836.7%
20241.5635.9%
20251.5435.1%
20261.5234.2%

Source: Uptime Institute Global Data Center Survey 2026, Figure 2 (n=644 in 2026) [8], with non-IT share calculated as (PUE minus 1) divided by PUE.

Line chart of average annual PUE reported by data center operators: 2.50 in 2007, 1.98 in 2011, 1.65 in 2014, 1.58 in 2018, 1.67 in 2019, a range of 1.52 to 1.59 from 2020 to 2026, and 1.52 in 2026

Key Findings

US Data Center Electricity Use and US Commercial Electricity Sales, 2014 to 2030

We reviewed the yearly US data center electricity use that Lawrence Berkeley National Laboratory (LBNL), in its December 2024 report to Congress, and EPRI, in its February 2026 update, both estimate and project to the end of the decade, because utilities, regulators, and developers plan new supply around how fast that use is expected to grow. LBNL builds its estimates from shipments of servers and other equipment, and EPRI builds its estimates from data on data center sites in operation, under construction, and planned [4].

EPRI puts its revised 2030 estimate about 60% above the estimates in its 2024 report and attributes the revision mainly to record data center development over the previous 18 months [4]. The 2024 report's scenarios put 2030 use at 196.3 TWh to 403.9 TWh, or 4.6% to 9.1% of US generation [5].

EPRI estimates that Virginia is the only state where data centers use more than 20% of electricity today, and that their share there could reach 39% to 57% by 2030 [4].

US data center electricity use and share of US electricity, 2014 to 2030

YearSourceElectricity useShare of US electricity
2014LBNL58 TWhn/a
2018LBNL76 TWh1.9%
2023LBNL176 TWh4.4%
2024EPRI estimate177 to 192 TWh4% to 5%
2028LBNL projection325 to 580 TWh6.7% to 12.0%
2030EPRI projection380 to 790 TWh9% to 17%

Source: LBNL, 2024 United States Data Center Energy Usage Report [2]; US Department of Energy release on the LBNL report [3]; EPRI, Powering Intelligence 2026 [4], where EPRI's estimates include cryptocurrency mining and LBNL's exclude it.

Chart of US data center electricity use: 58 TWh in 2014, 76 TWh in 2018, and 176 TWh in 2023 from LBNL, 177 to 192 TWh in 2024 from EPRI, 325 to 580 TWh in 2028 from LBNL, and 380 to 790 TWh in 2030 from EPRI

Key Findings

US data center capacity and peak load, 2024 and 2030 (EPRI)

Measure20242030
Nominal IT capacity35 to 44 GW56 to 132 GW (Low to High scenario)
Peak load on the grid, Low scenario21 to 22 GW45 GW
Peak load on the grid, Medium scenario21 to 22 GW71 GW
Peak load on the grid, High scenario21 to 22 GW94 GW

Source: EPRI, Powering Intelligence 2026, Executive Summary (last updated February 25, 2026) [4], where nominal IT capacity is the maximum power servers and other IT equipment could draw, excluding cooling.

Bar chart of US data center capacity and peak load from EPRI: in 2024, nominal IT capacity of 35 to 44 GW and peak load of 21 to 22 GW; in 2030, nominal IT capacity of 56 to 132 GW and peak load of 45 GW in the Low scenario, 71 GW in the Medium scenario, and 94 GW in the High scenario

Key Findings

EPRI's Low scenario assumes most projects under construction and one-fourth of those in advanced planning come online, and its High scenario assumes all projects under construction or in advanced planning plus 30% of those in early planning do [4].

EPRI estimates that AI workloads account for 15% to 25% of data center electricity today [4]. EPRI notes that peak load comes in below nominal IT capacity, and that cooling and other building loads, the time new buildings take to fill, daily load patterns, on-site power, and load flexibility all affect how much of that capacity shows up as peak demand [4].

We also compared EIA's October 2026 forecast of commercial electricity sales with its forecast of total US electricity consumption, because faster growth in commercial sales than in total use would show new demand gathering in the commercial sector, which includes data centers.

US Commercial Electricity Sales vs Total Consumption, 2025 to 2027

Measure20252027Change, 2025 to 2027
Commercial electricity sales (billion kWh)1,4931,592+6.6%
Total US electricity consumption (billion kWh)4,1954,356+3.8%

Source: EIA, October 2026 Short-Term Energy Outlook [14].

Grouped bar chart of EIA's October 2026 forecast: commercial electricity sales of 1,493 billion kWh in 2025 and 1,592 billion kWh in 2027, against total US electricity consumption of 4,195 billion kWh and 4,356 billion kWh

Key Findings

Grid Forecasts and Connection Queues

We reviewed the utility forecasts of US peak demand filed with FERC since 2022, to see how they have changed from one year's filings to the next, along with PJM Interconnection's load forecast, Dominion Energy's data center contracts, and LBNL's data on how long new power plants take to connect, because a new data center cannot run until the grid can supply and connect it.

In the 2025 forecasts, US summer peak demand rises from 829 GW in 2025 to 995 GW in 2030, a 3.7% annual rate [10]. Grid Strategies links roughly 90 GW of the 166 GW increase to data centers [10].

Grid Strategies estimates that the data center portion of utility forecasts is overstated by roughly 25 GW, based on market analyst reports, and notes that TD Cowen projected 65 GW of new data center demand by 2030 from expected chip shipments [10]. Grid Strategies says utility forecasts need to better reflect the probability that projects are completed, their total loads, supply constraints, and the timing of load growth [10].

The average proposed US data center doubled in size from 150 MW in 2023 to 300 MW in 2024, while the average operating data center draws roughly 30 to 60 MW [10]. Sixteen campuses of a gigawatt or more, with nearly 30 GW of combined demand, are scheduled to come online in 2026 and 2027 [10].

Five-year US summer peak growth in utility forecasts filed with FERC, 2022 to 2025

Year forecasts were filedForecast five-year peak growth
202224 GW
202338 GW
202464 GW
2025166 GW

Source: Grid Strategies, Power Demand Forecasts Revised Up for Third Year Running, Led by Data Centers (November 2025), aggregating forecasts submitted to FERC [10].

Bar chart of five-year US summer peak growth in utility forecasts filed with FERC: 24 GW in 2022, 38 GW in 2023, 64 GW in 2024, and 166 GW in 2025

Key Findings

Grid operator, utility, and interconnection queue figures

MeasureFigurePeriodSource
PJM summer peak forecast222,106 MW2036PJM [12]
PJM summer peak increase over 10 years65,733 MW2026 to 2036PJM [12]
PJM average summer peak growth3.6% per year2026 to 2036PJM [12]
Dominion Energy Virginia data center contracted capacityabout 53.8 GWJuly 2026Dominion Energy [13]
Dominion data center capacity under electric service agreements12.0 GWJuly 2026Dominion Energy [13]
Dominion data center contracted capacity addedabout 5.3 GW (11%)December 2025 to July 2026Dominion Energy [13]
Generation capacity seeking grid connection1,400 GWend of 2024LBNL [11]
Storage capacity seeking grid connectionabout 890 GWend of 2024LBNL [11]
Gas capacity seeking grid connection136 GW (up 72% in a year)end of 2024LBNL [11]
Median time from connection request to operation, projects built 2018 to 2024more than 4 years2018 to 2024LBNL [11]
Capacity requested 2000 to 2019 that reached operation13%by end of 2024LBNL [11]
Capacity requested 2000 to 2019 that was withdrawn77%by end of 2024LBNL [11]

Source: PJM 2026 Long-Term Load Forecast Report [12]; Dominion Energy second-quarter 2026 earnings call presentation, July 31, 2026 [13]; LBNL, Queued Up: 2025 Edition [11].

Bar chart of capacity seeking grid connection at the end of 2024 from LBNL: 1,400 GW of generation, including 136 GW of gas, and about 890 GW of storage

Key Findings

PJM adjusted its forecasts for Dominion's Virginia zone and many other zones to account for data center load growth [12]. Dominion chief financial officer Steven Ridge said on the July 31, 2026 earnings call that nine of the Dominion Zone's top 10 all-time peak days occurred in the first seven months of 2026 [23].

New power plants spend years in connection studies [11], while EPRI notes that data centers can be developed and connected in a few years [4].

US Data Centers Compared With Global Demand

We compared the US data center electricity totals with the global figures that the IEA publishes, because the US share shows how much of the worldwide rise in data center power use lands on US utilities.

The IEA finds that data centers account for nearly half of US electricity demand growth through 2030 [6]. Worldwide, the IEA expects data centers to account for around one-tenth of electricity demand growth through 2030 [6].

Global data center electricity use, 2024 to 2035

MeasureFigurePeriodSource
Global data center electricity use415 TWh (about 1.5% of world electricity)2024IEA [6]
US share of global data center electricity45%2024IEA [6]
China and Europe shares25% and 15%2024IEA [6]
Average yearly growthabout 12%2017 to 2024IEA [6]
Global data center electricity use485 TWh2025IEA [7]
Growth in AI-focused data center electricity use50%2025IEA [7]
Projected global data center electricity use950 TWh (about 3% of world electricity)2030IEA [7]
Projected global use, Base Caseabout 1,200 TWh2035IEA [6]
Range across IEA cases700 to 1,700 TWh2035IEA [6]

Source: IEA, Energy and AI (April 2025) [6]; IEA, Key Questions on Energy and AI (2026) [7].

Bar chart of global data center electricity use from the IEA: 415 TWh in 2024, 485 TWh in 2025, 950 TWh projected for 2030, about 1,200 TWh in the 2035 Base Case, and a range across cases of 700 to 1,700 TWh in 2035

Key Findings

What These Numbers Mean for AI Data Centers

Utilities and state regulators now base decisions on the power a single AI server draws. EPRI's state estimates point to developers giving priority to power access and land, with new capacity planned in states such as Indiana, Louisiana, and Mississippi that have very little operating capacity today [4].

To judge when a planned AI campus can run, compare its announced power need with utility peak demand forecasts, grid operator and utility load figures, and interconnection queue times.

Data Collection and Methodology

We compiled figures at five levels: GPUs and servers, racks, buildings, US electricity use, and the US grid. Server and GPU figures are maximum ratings from NVIDIA's product pages, user guides, and reference architecture, and a server running a typical workload draws less. AI rack densities come from Schneider Electric, and typical rack densities and PUE come from Uptime Institute's global surveys of data center operators, conducted in April and May 2026. US data center electricity use comes from LBNL and EPRI, grid forecasts from Grid Strategies, PJM, Dominion Energy, and LBNL's Queued Up report, and global figures from the IEA. Commercial electricity sales and total US electricity consumption come from the EIA's October 2026 Short-Term Energy Outlook.

Terms. A kilowatt (kW) measures how much power equipment draws at one moment, and a gigawatt (GW) is one million kilowatts. Rack density is the power one rack of equipment draws. Power usage effectiveness (PUE) is the ratio of a data center's total power use to the power its IT equipment uses, so a PUE of 1.52 means the building uses 0.52 kW for cooling, power conversion, and lighting for every 1 kW its servers draw. Peak demand is the highest power draw on the grid in a year.

We calculated products, differences, and ratios from the published values. We rounded each result once from the unrounded figures. Growth multiples between years use the endpoints shown, and ranges use the published low and high values. Where Uptime reports a figure as "more than 11 kW", we show it that way. LBNL and EPRI series are shown side by side and never combined. The study was conducted in October 2026 [1], and all sources were accessed on October 26, 2026.

Sources

  1. AI Industry Reviews, AI Data Center Power Study: analysis of NVIDIA AI server specifications, Uptime Institute operator surveys, LBNL, EPRI, EIA, and IEA electricity estimates, utility and grid operator load forecasts, and interconnection queue data, conducted October 2026.
  2. Lawrence Berkeley National Laboratory, 2024 United States Data Center Energy Usage Report (December 2024): https://escholarship.org/uc/item/32d6m0d1
  3. US Department of Energy, DOE Releases New Report Evaluating Increase in Electricity Demand from Data Centers (December 20, 2024): https://www.energy.gov/articles/doe-releases-new-report-evaluating-increase-electricity-demand-data-centers
  4. Electric Power Research Institute, Powering Intelligence 2026, Executive Summary (last updated February 25, 2026): https://powering-intelligence.epri.com/executive-summary.html
  5. Electric Power Research Institute, Powering Intelligence: Analyzing Artificial Intelligence and Data Center Energy Consumption (2024): https://restservice.epri.com/publicdownload/000000003002028905/0/Product
  6. International Energy Agency, Energy and AI, Executive Summary (April 2025): https://www.iea.org/reports/energy-and-ai/executive-summary
  7. International Energy Agency, Key Questions on Energy and AI, Executive Summary (2026): https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary
  8. Uptime Institute, Global Data Center Survey 2026: https://datacenter.uptimeinstitute.com/rs/711-RIA-145/images/UptimeInstitute.GlobalDataCenterSurvey.2026.pdf
  9. Uptime Institute, Global Data Center Survey 2025: https://datacenter.uptimeinstitute.com/rs/711-RIA-145/images/2025.Annual.Survey.Report.pdf
  10. Grid Strategies, Power Demand Forecasts Revised Up for Third Year Running, Led by Data Centers (November 2025): https://gridstrategiesllc.com/wp-content/uploads/Grid-Strategies-National-Load-Growth-Report-2025.pdf
  11. Lawrence Berkeley National Laboratory, Queued Up: 2025 Edition (December 2025): https://emp.lbl.gov/publications/queued-2025-edition-characteristics
  12. PJM Interconnection, 2026 Long-Term Load Forecast Report (January 2026): https://www.pjm.com/-/media/DotCom/library/reports-notices/load-forecast/2026-load-report.pdf
  13. Dominion Energy, Second Quarter 2026 Earnings Conference Call presentation, slide 5 (July 31, 2026): https://s2.q4cdn.com/510812146/files/doc_financials/2026/q2/2026-07-31-DE-IR-2Q-2026-earnings-call-slides-vTCII.pdf
  14. US Energy Information Administration, Short-Term Energy Outlook, October 2026, Table 7a: https://www.eia.gov/outlooks/steo/tables/pdf/7atab.pdf
  15. NVIDIA, DGX A100 User Guide: https://docs.nvidia.com/dgx/dgxa100-user-guide/introduction-to-dgxa100.html
  16. NVIDIA, DGX H100/H200 User Guide: https://docs.nvidia.com/dgx/dgxh100-user-guide/introduction-to-dgxh100.html
  17. NVIDIA, DGX B200 User Guide: https://docs.nvidia.com/dgx/dgxb200-user-guide/introduction-to-dgxb200.html
  18. NVIDIA, A100 Tensor Core GPU: https://www.nvidia.com/en-us/data-center/a100/
  19. NVIDIA, H100 Tensor Core GPU: https://www.nvidia.com/en-us/data-center/h100/
  20. NVIDIA, DGX SuperPOD GB200 Reference Architecture, Components: https://docs.nvidia.com/dgx-superpod/reference-architecture-scalable-infrastructure-gb200/latest/dgx-superpod-components.html
  21. Schneider Electric, AI data center design and deployment are moving at an incredible pace (Steven Carlini, July 23, 2025): https://blog.se.com/datacenter/2025/07/23/ai-data-center-design-and-deployment-are-moving-at-an-incredible-pace-3-ways-to-approach-a-changing-landscape/
  22. Schneider Electric, How Schneider Electric and NVIDIA are redefining AI data center design (December 19, 2025): https://www.se.com/ww/en/insights/ai-and-technology/artificial-intelligence/how-schneider-electric-and-nvidia-are-redefining-ai-data-center-design/
  23. Steven Ridge, Executive Vice President and Chief Financial Officer, Dominion Energy, prepared remarks on the Second Quarter 2026 Earnings Conference Call (July 31, 2026), transcript: https://stockanalysis.com/stocks/d/transcripts/659241-q2-2026/

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