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NewsMaterial3 min readDisconfirmAI Editorial

Epoch AI Estimate: Global AI Chip Quarterly Compute Capacity Additions Double Every Nine Months

Based on quarterly sales estimates from six chip designers—Nvidia, Google, AMD, Amazon, Huawei, and Cambricon—Epoch AI fits a trend showing that global AI chip compute capacity additions are growing at an annual rate of approximately 2.5 times, with a doubling period of 9.1 months. The article explains why quarterly additions rather than cumulative stock were chosen to measure the current growth pace, noting that the two metrics diverged significantly after the sales surge in 2023 but have converged by 2026.

2026-10-29

Research organization Epoch AI released data insights on October 29, 2026, estimating the quarterly growth rhythm of global AI chip compute capacity additions. Its methodology involved using quarterly sales estimate data from six major chip designers—Nvidia, Google, AMD, Amazon, Huawei, and Cambricon—to perform a log-linear regression fit on ten quarters of data from Q1 2024 to Q2 2026, measuring capacity in H100-equivalent units (H100e). The results show that quarterly compute capacity additions grew from 800,000 H100e in Q1 2024 to 6.3 million H100e in Q2 2026. The fitted trend indicates an annual growth of 2.5 times (90% confidence interval: 2.3× to 2.7×), corresponding to a doubling period of 9.1 months (90% confidence interval: 8.4 to 10.0 months).

Epoch AI deliberately chose quarterly additions rather than cumulative stock as the subject of analysis, a methodological choice worth explaining. When additions grow at a stable rate, the growth rate of cumulative stock converges to that same rate; however, if sales surge and then slow, the two diverge. 2023 was precisely such a case: sales of Nvidia GPUs and Google TPUs rose sharply within the year, with H100e sales in Q1 2024 being approximately six times higher than in Q1 2023. Because cumulative stock remained small relative to quarterly sales at that time, even with stable growth in additions, cumulative stock experienced large proportional jumps each quarter due to base effects. By 2026, the two indicators had converged: cumulative capacity grew 2.6 times between Q2 2025 and Q2 2026, close to the 2.5× fitted trend of quarterly additions, down from 3.5 times the previous year. Epoch AI therefore considers that fitting the trend to cumulative stock for 2024–2026 would overstate the current growth pace.

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Regarding whether growth is slowing, the signals from the data are ambiguous. Year-over-year growth in quarterly additions fell from 2.8 times in Q2 2025 to 2.2 times in Q2 2026; regressing quarterly growth rates against time shows a downward trend from approximately 32% to 19%, but this is not statistically significant (p = 0.26). Epoch AI points out that quarter-to-quarter fluctuations are inherently large, partly due to chip generation transitions—for example, the shipment transition of Nvidia’s Blackwell chips from late 2024 to early 2025.

This estimate has clear boundaries. The data tracks the point of chip sale rather than the point of going online: chip sellers like Nvidia typically recognize revenue for AI chips when they deliver them to server assembly partners, meaning these chips may take several more months to actually operate in data centers. Additionally, the analysis does not include smaller designers such as Intel, Meta, Microsoft, Cerebras, and Groq, nor GPUs intended for non-data-center uses. Epoch AI believes these volumes are insufficient to alter the trend. The confidence intervals only reflect how well the trend fits the median sales estimates, excluding uncertainty in the underlying sales estimates themselves. The ten-quarter window is also relatively short, and chip sales tend to advance in waves as new generations ramp up.

Sources

  • epoch.aiEpoch AI↗
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