Rank.ai original data
GPU rental price index
Behind the number
The full distribution
- NVIDIA M4000 8 GB PCIe$0.04
- NVIDIA P4 8 GB PCIe$0.06
- NVIDIA RTX 3060TI 8 GB PCIe$0.14
- NVIDIA GTX1050 2 GB PCIe$0.14
- NVIDIA RTX 3090 24 GB PCIe$0.15
- NVIDIA P40 24 GB PCIe$0.15
- NVIDIA T4 16 GB PCIe$0.16
- NVIDIA A10G 24 GB PCIe$0.18
- NVIDIA V100 32 GB PCIe$0.21
- NVIDIA V100 16 GB SXM2$0.25
- NVIDIA RTX 4000ADA 20 GB PCIe$0.29
- NVIDIA RTX 4090 24 GB PCIe$0.34
The board in rank order. The headline number is the middle of this distribution, highlighted, so the spread around it is what the index smooths. Showing the top 12 of 16 ranked entries.
| Rank | Entry | median across GPU configurations |
|---|---|---|
| 1 | NVIDIA M4000 8 GB PCIe | $0.04 / GPU-hr |
| 2 | NVIDIA P4 8 GB PCIe | $0.06 / GPU-hr |
| 3 | NVIDIA RTX 3060TI 8 GB PCIe | $0.14 / GPU-hr |
| 4 | NVIDIA GTX1050 2 GB PCIe | $0.14 / GPU-hr |
| 5 | NVIDIA RTX 3090 24 GB PCIe | $0.15 / GPU-hr |
| 6 | NVIDIA P40 24 GB PCIe | $0.15 / GPU-hr |
| 7 | NVIDIA T4 16 GB PCIe | $0.16 / GPU-hr |
| 8 | NVIDIA A10G 24 GB PCIe | $0.18 / GPU-hr |
| 9 | NVIDIA V100 32 GB PCIe | $0.21 / GPU-hr |
| 10 | NVIDIA V100 16 GB SXM2 | $0.25 / GPU-hr |
| 11 | NVIDIA RTX 4000ADA 20 GB PCIe | $0.29 / GPU-hr |
| 12 | NVIDIA RTX 4090 24 GB PCIe | $0.34 / GPU-hr |
Over time
How the number has moved
View chart data
| As of | median across GPU configurations |
|---|---|
| Oct 30, 05:00 UTC | $0.20 / GPU-hr |
| Oct 30, 04:00 UTC | $0.20 / GPU-hr |
| Oct 30, 03:00 UTC | $0.20 / GPU-hr |
| Oct 29, 23:00 UTC | $0.20 / GPU-hr |
| Oct 29, 19:00 UTC | $0.20 / GPU-hr |
| Oct 29, 15:00 UTC | $0.20 / GPU-hr |
| Oct 29, 11:00 UTC | $0.21 / GPU-hr |
| Oct 29, 07:00 UTC | $0.21 / GPU-hr |
| Oct 29, 03:00 UTC | $0.21 / GPU-hr |
| Oct 28, 23:00 UTC | $0.25 / GPU-hr |
| Oct 28, 19:00 UTC | $0.22 / GPU-hr |
| Oct 28, 15:00 UTC | $0.22 / GPU-hr |
| Oct 28, 11:00 UTC | $0.17 / GPU-hr |
| Oct 28, 07:00 UTC | $0.19 / GPU-hr |
| Oct 28, 03:00 UTC | $0.19 / GPU-hr |
| Oct 27, 23:00 UTC | $0.19 / GPU-hr |
| Oct 27, 19:00 UTC | $0.18 / GPU-hr |
| Oct 27, 15:00 UTC | $0.19 / GPU-hr |
| Oct 27, 11:00 UTC | $0.17 / GPU-hr |
| Oct 27, 07:00 UTC | $0.18 / GPU-hr |
| Oct 27, 03:00 UTC | $0.19 / GPU-hr |
| Oct 26, 23:00 UTC | $0.22 / GPU-hr |
| Oct 26, 19:00 UTC | $0.20 / GPU-hr |
| Oct 26, 15:00 UTC | $0.21 / GPU-hr |
| Oct 26, 11:00 UTC | $0.21 / GPU-hr |
| Oct 26, 07:00 UTC | $0.21 / GPU-hr |
| Oct 26, 03:00 UTC | $0.21 / GPU-hr |
About this metric
No single GPU tells the whole rental market's story. This index compresses the open marketplace into one number by taking the median configuration's median hourly price across everything listed, from consumer RTX cards through data-center H200s. It answers a plain question: what did an hour of GPU compute cost on the open market at the latest snapshot?
Each ranked configuration on the underlying board carries its own median price per GPU-hour, computed from active positive-price listings. The index is the middle value of those medians, so one scarce flagship or one dumped consumer card cannot drag it around. The construction is deterministic and recomputed at every published snapshot.
Hardware generations, marketplace supply and demand cycles all show up in aggregate GPU pricing. Read it alongside the H100 line: when the flagship and the index diverge, the market is repricing the newest hardware rather than compute in general.
Charts
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