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3.82 kB
| 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 | |