Data Insight
Jun. 11, 2026

The record for computing capacity in a single data center has doubled every 7 months

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By Ben Cottier

Since the launch of SpaceXAI’s Colossus 1 in August 2024, the record for the largest AI data center by computing capacity has doubled every seven months. Facilities like Anthropic-Amazon New Carlisle, Microsoft Fairwater Atlanta, and Meta Prometheus have each claimed the top spot at different times. Increased single-site capacity facilitates the training of more capable AI models.

Looking ahead, our research suggests that no data center will have meaningfully greater capacity than Colossus 2 until the second half of 2027. However, we expect a reversion to trend in late-2027/early-2028 when QTS Cedar Rapids and Meta Hyperion are projected to be completed. We believe our data captures most record-holding facilities from 2024 through 2028, though estimates of individual capacities and operational dates carry uncertainty.

Epoch's work is free to use, distribute, and reproduce provided the source and authors are credited under the Creative Commons BY license.

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Data comes from our Frontier Data Centers dataset, which includes computing capacity estimates for each data center over time. Computing capacity is the total peak floating point operations per second (FLOP/s) of AI chips in the data center. We express this as the equivalent number of NVIDIA H100 chips required.

We focus on computing capacity rather than power capacity because it is more relevant to AI capabilities. The frontier trend in computing capacity indicates the limits of what the AI industry is willing and able to build in a single facility. The data shows that this frontier is dominated by hyperscalers (Google, Microsoft, Amazon, Meta) along with SpaceXAI.

Code for the analysis is available here.

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Frontier Data Center Computing Capacity
CSV, Updated Jun. 11, 2026

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ScalingData centers