| --- |
| license: cc-by-4.0 |
| language: |
| - en |
| - ru |
| tags: |
| - gpu |
| - hardware |
| - nvidia |
| - amd |
| - benchmarks |
| - semiconductors |
| pretty_name: "GPU Ark — GPU specifications & benchmarks (13.5k GPUs, 1999–2025)" |
| size_categories: |
| - 10K<n<100K |
| source_datasets: |
| - original |
| configs: |
| - config_name: gpu_specs |
| data_files: gpuark-gpu-specs.csv |
| - config_name: benchmarks |
| data_files: gpuark-benchmarks.csv |
| --- |
| |
| # GPU Ark — open GPU specifications & benchmarks dataset |
|
|
| Specifications of **13,566 GPUs** released between 1999 and 2025 — from the GeForce 256 to |
| NVIDIA Blackwell and AMD Instinct MI355X — plus **993 third-party benchmark results**. |
| Curated and maintained by **[GPU Ark](https://gpuark.com/)** (a GPU catalog & price comparison |
| project). Canonical source and always-fresh copy: **<https://gpuark.com/datasets/>**. |
|
|
| ## Files |
|
|
| | File | Rows | What | |
| |------|-----:|------| |
| | `gpuark-gpu-specs.csv` | 13,566 | One row per GPU — public spec columns | |
| | `gpuark-benchmarks.csv` | 993 | Third-party benchmark results, join on `gpu_id` | |
| | `gpuark-gpu-dataset.sqlite` | — | Both tables (`gpu_specs`, `benchmarks`) for SQL | |
|
|
| ### Key columns (`gpu_specs`) |
| `id, name, slug, vendor (nvd/amd/int), manufacturer, arch_name, card_release_date, |
| proc_foundry, proc_process_size, proc_transistors, cores, tensor_cores, base_clock, |
| boost_clock, ram, ram_type, bus_width, ram_bandwidth, fp16/fp32/fp64/bf16/tf32/int8_performance, |
| tdp, multi_gpu, api_cuda, is_retail_board, gpi_value`. |
|
|
| ## Quick start |
|
|
| ```python |
| import pandas as pd |
| df = pd.read_csv("gpuark-gpu-specs.csv", parse_dates=["card_release_date"]) |
| nv = df[df.vendor == "nvd"] |
| # peak FP32 flagship per year |
| print(nv.groupby(nv.card_release_date.dt.year).fp32_performance.max()) |
| ``` |
|
|
| ## Known issues (read before drawing conclusions) |
|
|
| - **`vendor`** is set for ~2,360 of ~13,566 rows (`nvd`/`amd`/`int`); the rest are mostly |
| partner/OEM board variants without a chip-vendor tag. Filter on `vendor` for vendor-level work. |
| - **`ram` (VRAM)** unit is inconsistent across eras — older cards store MB, newer store GB |
| (a value ≥ 256 on a pre-2018 card is almost certainly MB). |
| - **`fp16`/`bf16`/`int8`** are sparse and not consistently tensor-vs-non-tensor across vendors |
| (NVIDIA Ampere+ tensor figures are often listed *with* structured sparsity = 2× dense). |
| Don't compare low-precision peaks cross-vendor without checking the card. |
| - **`card_release_date`** has a handful of implausible years — filter to 1998..2025. |
| - **`is_retail_board=True`** = AIB/OEM editions of a reference chip (near-duplicates). |
|
|
| ## License & attribution |
|
|
| **CC BY 4.0** — free to use with attribution to **[gpuark.com](https://gpuark.com/)**. |
|
|
| ## Citation |
|
|
| ``` |
| GPU Ark (2026). GPU specifications & benchmarks dataset. https://gpuark.com/datasets/ |
| ``` |
|
|
