Datasets:
File size: 3,819 Bytes
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license: cc-by-4.0
pretty_name: GPU Cloud Prices
task_categories:
- tabular-regression
tags:
- gpu
- cloud
- pricing
- h100
- b200
- h200
- a100
- tabular
language:
- en
size_categories:
- 1K<n<10K
configs:
- config_name: gpu_prices
data_files: gpu_prices.csv
- config_name: gpu_price_history
data_files: gpu_price_history.csv
- config_name: gpu_price_rows_daily
data_files: gpu_price_rows_daily.csv
- config_name: api_prices
data_files: api_prices.csv
- config_name: lead_times
data_files: lead_times.csv
- config_name: models
data_files: models.csv
---
# GPU Cloud Prices (H100, H200, B200 and more)
Public on-demand, spot and listed GPU rental prices from 25 cloud providers (H100, H200, B200, B300, GB200, GB300, A100, L40S, MI300X, MI355X), normalized to USD per GPU-hour. Every row links to the provider page it came from and records the date it was read.
- Live tables, calculators and provider comparisons: https://hundredthrun-compute-desk.pages.dev
- Open data docs on the desk: https://hundredthrun-compute-desk.pages.dev/open-data
- Source repo: https://github.com/hundredthrun/gpu-cloud-prices
- JSON API: https://hundredthrun-compute-desk.pages.dev/api/v1/prices.json
- Kaggle mirror: https://www.kaggle.com/datasets/hundredthrun/gpu-cloud-rental-prices
- Browse the cheapest price per GPU (Hugging Face Space): https://huggingface.co/spaces/hundredthrun/gpu-cloud-prices
- Starter notebook (pandas, charts, price changes): https://github.com/hundredthrun/gpu-cloud-prices/blob/main/notebooks/gpu-cloud-prices-starter.ipynb
## Files
| File | What it holds |
| --- | --- |
| `gpu_prices.csv` | One row per provider, GPU and price type, with `source_url`, `date_checked`, `fetch_method` and `confidence`. |
| `gpu_price_history.csv` | Min, median and max price per GPU per daily snapshot (starts 2026-11-04). |
| `gpu_price_rows_daily.csv` | Every provider row as it stood on each snapshot date, so you can track individual price changes. |
| `api_prices.csv` | Sourced LLM API prices (USD per 1M input and output tokens) for open models, used by the desk's self-host vs API calculator. |
| `lead_times.csv` | Availability and lead-time notes as stated by providers. |
| `models.csv` | Open model parameter counts used by the desk's GPU memory calculator, with sources. |
Load a config with:
```python
from datasets import load_dataset
ds = load_dataset("hundredthrun/gpu-cloud-prices", "gpu_prices")
print(ds["train"][0])
```
## Columns (gpu_prices.csv)
- `provider`, `gpu`, `variant`, `gpus_per_unit`
- `price_usd_per_gpu_hr`, `price_type` (on_demand / spot / preemptible / reserved), `term`, `region`, `billing_unit`
- `price_as_listed`, `derivation`, `availability_note`, `lead_time_class`
- `source_url`, `date_checked`, `fetch_method`, `confidence`, `notes`
## Method
Prices are read from each provider's public pricing page or official price API. Multi-GPU node prices are divided by GPU count; the original wording is kept in `price_as_listed`. Confidence is high for API or itemized prices, medium for "starting at" prices, low otherwise. Unpublished values stay blank. Nothing is estimated.
## Limitations
Public list prices only. Negotiated, reserved and committed-use prices are often lower. Check `date_checked` and the source before you buy.
## Updates
Prices are re-checked daily. Dataset versions are pushed on the Tuesday refresh (and on demand). Price history charts: https://hundredthrun-compute-desk.pages.dev/history/
Card last rebuilt: 2026-11-09.
## License
CC BY 4.0. Credit "Hundredth Run compute desk" with a link to https://hundredthrun-compute-desk.pages.dev
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