H100 rental price
median price per GPU-hour$2.56 / GPU-hr
Live chart · updates with every published snapshot
Most AI compute owned by one company
The largest reviewed corporate stockpile of AI accelerators, normalized to NVIDIA H100 equivalents, held by the current leading owner.
H100-equivalents owned5.45M H100eheld by Alphabet
View chart data
| As of | H100-equivalents owned |
|---|---|
| May 12, 12:00 UTC | 5.45M H100e |
About this metric
AI compute ownership is the hardest form of power in the AI economy: models change monthly, but accelerator fleets take years and tens of billions of dollars to assemble. This chart tracks the single largest corporate holding, expressed in H100 equivalents so that mixed fleets of different accelerator generations can be compared on one scale.
Figures are Epoch AI median estimates of owned compute, normalized by peak dense 8-bit operations per second against an NVIDIA H100 baseline, with uncertainty bands preserved on the underlying board. Ownership means the accelerators a company controls, not the capacity it rents out or the utilization it achieves.
Whoever owns the most compute sets the terms for everyone renting it. Concentrated ownership shapes model training roadmaps, cloud pricing, and even national industrial policy. Tracking the top holding over time shows whether the compute base is consolidating further or whether challengers are closing the gap.
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