# NVIDIA/cutile-python

cuTile is a programming model for writing parallel kernels for NVIDIA GPUs

Repository: https://github.com/NVIDIA/cutile-python
Canonical: https://ross.abutalabs.com/products/cutile-python
Language: Python
License: NOASSERTION
License Family: other
Topics: gpu, kernel, python, tile, cutile, tile-based-programming, parallel-kernels
Last push: 2026-08-21T09:56:34+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 35, longevity 31
- inputs: {"age_days": 446, "days_push": 12, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2137, forks 147 (observed 2026-08-28T04:06:17.546576+00:00)

## What it is
cuTile Python is a tile-based programming language and library from NVIDIA for writing parallel kernels that run on NVIDIA GPUs, compiling to Tile IR. It integrates with CuPy/NumPy-style array workflows and requires CUDA Toolkit 13.1+ and recent NVIDIA drivers.

## Use cases
- write parallel gpu kernels in python
- compile tile-based kernels for nvidia gpus
- accelerate array computations on cuda gpus
- program blackwell and ampere gpus without raw cuda c
- build custom gpu compute kernels for scientific computing

## When to choose
- you need to write custom GPU kernels in Python with a tile-based model
- you target NVIDIA Ampere, Ada, or Blackwell GPUs with recent CUDA toolkits
- you want kernel authoring integrated with CuPy/NumPy workflows

## When to avoid
- you need Hopper GPU support, which is not yet available
- you want a mature, long-stable toolchain - the project is new and evolving
- you cannot install CUDA Toolkit 13.1+ or driver r580+
- you need portable kernels across non-NVIDIA GPUs

## Facets
- artifact type: library
- maturity: active
- function: programming-language, compiler, gpu-computing, sdk
- domain: gpu-computing, programming-languages, compilers, developer-tools
- platform: python, windows
- tags: cuda, tile-ir, parallel-kernels, kernel-programming, nvidia, blackwell, high-performance-computing, linux, gpu

## Member repositories
- NVIDIA/cutile-python (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:17.546576+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:51:49.916040+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/cutile-python (fetched 2026-08-28T04:06:17.546576+00:00, sha c9fe8170286d)
- Data as of 2026-08-30T08:39:29.467469+00:00.