# GPU rental prices, live

The lowest price per GPU-hour for every GPU you can rent on Arrakis right now, across independent GPU markets. Right now (as of 13 Oct 2026, 17:57 UTC), 125 GPUs are available on Arrakis across 43 machines. The lowest H100 price is $1.77 per GPU-hour and the lowest RTX 4090 price is $0.45 per GPU-hour.

| GPU | Lowest price per GPU-hour | GPUs available | Machines |
|---|---|---|---|
| [H100 80GB HBM3](/gpus/h100.html.md) | $1.77 | 27 | 4 |
| [H200](/gpus/h200.html.md) | $4.50 | 14 | 3 |
| [B200](/gpus/b200.html.md) | $5.60 | 18 | 4 |
| [B300 SXM6 AC](/gpus/b300.html.md) | $8.00 | 14 | 2 |
| [A100 80GB PCIe](/gpus/a100.html.md) | $0.65 | 21 | 7 |
| [RTX PRO 6000 Blackwell Server Edition](/gpus/rtx-pro-6000.html.md) | $1.77 | 2 | 2 |
| [RTX 5090](/gpus/rtx-5090.html.md) | $0.75 | 3 | 3 |
| [RTX 4090](/gpus/rtx-4090.html.md) | $0.45 | 8 | 7 |
| [RTX A6000](/gpus/rtx-a6000.html.md) | $0.42 | 5 | 4 |
| [RTX 6000 Ada](/gpus/rtx-6000-ada.html.md) | $0.70 | 5 | 5 |
| [RTX 3090](/gpus/rtx-3090.html.md) | $0.22 | 8 | 2 |

## How these prices work

- **Where they come from:** Arrakis reads the GPU markets it connects and refreshes the result every minute while people are looking. A machine counts only when it is free to rent right now and its market reports a verified price.
- **What the price is:** What Arrakis charges per GPU-hour, in US dollars: a machine's hourly price divided by its GPUs. Each row shows the cheapest machine of that GPU.
- **Whole machines:** A listing with eight GPUs rents as eight GPUs, so its hourly cost is eight times its price per GPU-hour.
- **Billing:** From start to removal at the price shown when you rent. A started hour counts as a full hour.
- **Freshness:** Updated 13 Oct 2026, 17:57 UTC. The console always shows the exact price before you rent.

## Use the data

- CSV, one row per GPU model: [/gpus.csv](/gpus.csv)
- JSON, refreshed every minute, no token needed: [/v1/market/summary](/v1/market/summary)
- Free to use. When you publish the numbers, link to https://arrakis.goodailabs.com/gpus.

## Every GPU you can rent

- [NVIDIA H100](/gpus/h100.html.md): The standard GPU for training and serving large language models. Memory: 80 GB HBM3 (SXM) or HBM2e (PCIe).
- [NVIDIA H200](/gpus/h200.html.md): The H100's compute with far more memory and bandwidth. Memory: 141 GB HBM3e.
- [NVIDIA B200](/gpus/b200.html.md): Blackwell-generation performance with FP4 and FP8. Memory: 180 to 192 GB HBM3e, depending on the system.
- [NVIDIA B300](/gpus/b300.html.md): Blackwell Ultra, with the most memory per GPU of any GPU on Arrakis. Memory: HBM3e, 2.1 TB across the eight GPUs of a DGX B300.
- [NVIDIA A100](/gpus/a100.html.md): A proven workhorse with the widest software support. Memory: 40 GB or 80 GB of HBM.
- [NVIDIA RTX PRO 6000](/gpus/rtx-pro-6000.html.md): 96 GB of memory on a single GPU. Memory: 96 GB GDDR7.
- [NVIDIA GeForce RTX 5090](/gpus/rtx-5090.html.md): The fastest consumer GPU, with FP4 support. Memory: 32 GB GDDR7.
- [NVIDIA GeForce RTX 4090](/gpus/rtx-4090.html.md): The most widely available low-cost GPU for AI work. Memory: 24 GB GDDR6X.
- [NVIDIA L40S](/gpus/l40s.html.md): A data-center GPU tuned for inference and graphics. Memory: 48 GB GDDR6 with ECC.
- [NVIDIA RTX 6000 Ada Generation](/gpus/rtx-6000-ada.html.md): 48 GB of memory, a generation newer than the RTX A6000. Memory: 48 GB GDDR6 with ECC.
- [NVIDIA RTX A6000](/gpus/rtx-a6000.html.md): 48 GB of memory for less than a data-center GPU. Memory: 48 GB GDDR6 with ECC.
- [NVIDIA GeForce RTX 3090](/gpus/rtx-3090.html.md): Often the cheapest 24 GB GPU you can rent. Memory: 24 GB GDDR6X.

Which one fits your model: [How much GPU memory you need](/guides/gpu-memory.html.md).