Download README.md from referencesource/nvidia-cuda-compute-capability-by-gpu: direct link, hf CLI and curl.
- Browser
- Download file 2.89 kB
-
https://huggingface.co/datasets/referencesource/nvidia-cuda-compute-capability-by-gpu/resolve/main/README.md
- Command line
-
hf download hf://datasets/referencesource/nvidia-cuda-compute-capability-by-gpu/README.md
-
curl -L -o README.md https://huggingface.co/datasets/referencesource/nvidia-cuda-compute-capability-by-gpu/resolve/main/README.md
pretty_name: NVIDIA GPU CUDA compute capability by model
license: other
license_name: source-terms-cited
license_link: https://referencesource.org/nvidia-cuda-compute-capability-by-gpu/
language:
- en
tags:
- reference-data
- provenance
- referencesource-org
configs:
- config_name: default
data_files:
- split: train
path: data/records.jsonl
NVIDIA GPU CUDA compute capability by model
Canonical, always-current version: https://referencesource.org/nvidia-cuda-compute-capability-by-gpu/ Machine-readable: https://referencesource.org/nvidia-cuda-compute-capability-by-gpu/data.json — this mirror is a point-in-time copy.
- Last verified: 2026-10-01
- Stale after: 2027-01-29 (past this date, prefer the canonical copy — it re-verifies on a cadence this snapshot does not)
- Records: 442
Which CUDA compute capability version (e.g. '8.9', '12.0') each NVIDIA GPU model supports, from NVIDIA's own compute-capability table. Compute capability determines which CUDA toolkit version a card needs, which -arch=sm_XX / -gencode build flags to pass (the target is the capability written without its dot, so 8.9 is sm_89 and 12.0 is sm_120), and whether a PyTorch/TensorFlow wheel built for one architecture will run on a given card. Answers 'what compute capability is my GPU', 'does CUDA 11.8 support the RTX 4090', 'what sm_XX target do I use for an A100'. NVIDIA's own page is the single source of truth and is already well-ranked for individual current-generation cards; the value here is completeness (legacy cards back to the earliest Fermi/Kepler-era GPUs, and every SKU in a generation, not just the flagship) in one machine-readable table, and being current the moment a new architecture (e.g. Blackwell, 12.x) ships, before third-party blogs catch up.
Provenance — what every record carries
Every record carries source (the URL the value was read from) and
source_quote (a verbatim quote from that page stating it). A value you
cannot check against its page is indistinguishable from an invented one;
these can all be checked. Each record is also individually addressable on
the canonical site at its url.
Licence position
Source is NVIDIA's own developer documentation (developer.nvidia.com). We take the fact (model to compute-capability mapping) plus attribution linking back; we do not reproduce NVIDIA's full page design or unrelated content.
Facts are not copyrightable; what this dataset takes from each source is a fact plus a short attributed quote linking back to the page that states it.
Sources
Fields
See any record in data/records.jsonl — field names are self-describing,
and the canonical page for each record renders them with labels:
https://referencesource.org/nvidia-cuda-compute-capability-by-gpu/