Updated Jul. 25, 2026

Meta Temple

Temple, Texas, United States

Meta Temple is an operational AI data center with AI chips owned and used by Meta. It hosts an estimated 173k H100-equivalents of compute, supported by 152 MW of IT power at a capital cost of $5.8 B. In Q3 2026, we project it to rise to 202k H100-eq compute, 178 MW IT power and a cost of $6.7 B. We estimate that it uses Nvidia B300 chips.

The timeline of IT power and compute capacity is based on satellite imagery, our cooling equipment power model, company disclosures, chip availability, and chip efficiency.

A traditional H-shaped Meta data center was partially built here by 2023, only to be demolished in favor of Meta’s new AI-optimized design.

OWNER Meta STATUS Operational USER Meta
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Satellite view of Meta Temple

Satellite imagery

Latest: Nov. 16, 2025 · 1 high-res images
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Scale & specifications

CURRENT COMPUTE

173k H100-eq

3.43e20 8-bit OP/s

PROJECTED

202k H100-eq

4.01e20 8-bit OP/s

CURRENT IT POWER

152 MW

PROJECTED IT POWER

178 MW

CURRENT COST

$5.8 B

PROJECTED COST

$6.7 B

HardwareNvidia B300

CoolingAir-cooled condenser

Buildout

Apr 1, 20220K H100e
Apr 1, 2022

Land clearing begins.

Feb 5, 2023

A traditional H-shaped Meta data center is partially built.

Apr 1, 2023

The traditional Meta data center has been demolished mid-construction, in favor of Meta's new AI-optimized design.

Nov 15, 2025

Building 1 and 2 look complete from outside, with all electrical and cooling equipment installed. Space is cleared for Building 3.

Dec 9, 2025

Building 1 and 2 are operational. Activity related to the air quality permit (namely, emergency diesel generators) was reported to have started as of 2025-12-09. This is our best estimate, but note that the planned completion date in this regulatory filing is 2026-03-01.

Compute
173kH100-eq
IT Power
152MW
Cost
$5.8B
Sep 30, 2026

Building 3 is operational. Based on the stated completion date in this regulatory filing

Compute
202kH100-eq
IT Power
178MW
Cost
$6.7B

Sources

  1. JE Dunn project page
  2. TDLR filing
  3. TDLR filing

Read more about our methodology.