# NVIDIA/cutlass

> CUTLASS is a collection of CUDA C++ templates and Python DSLs (CuTe DSL) for implementing high-performance linear algebra, primarily GEMM, on NVIDIA GPUs. It targets researchers and performance engineers writing optimized Tensor Core kernels.

- Magnitude: 1.5 out of 10 — Steady
- Stars: 10,474 total · +6 stars today, ≈ 9 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: C++ · Created: 2017-11-30 · Last push: 2026-09-23
- GitHub: https://github.com/NVIDIA/cutlass · Homepage: https://docs.nvidia.com/cutlass/index.html · Page: https://gitnova.dev/en/r/NVIDIA/cutlass

## Useful for

- Write a custom GEMM kernel in CUDA C++ with specific tiling and data types
- Prototype a kernel in CuTe DSL using Python without deep C++ expertise
- Run mixed-precision FP8/FP4 on Tensor Cores of Hopper or Blackwell architectures

## Why it’s here

- 6 stars so far today, about 9 expected by the end of the day.
- GitHub Trending C++ today: #15, +6 stars.
- Recent forks include notable developers: @FindHao (325 followers).

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 2,098
- Issues and pull requests: 3,314
- Watchers: 121
- Average over the last week: 6 per day
- Usual pace: 6 per day
- Stars in the last hour (measured): -1
- Latest release: v4.8.0 (2026-09-22)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-25 … 2026-09-23: 9, 19, 12, 6, 11, 4, 6, 3, 9, 6, 3, 6, 6, 14, 2, 5, 7, 5, 4, 7, 1, 11, 4, 9, 3, 7, 4, 4, 3, 6

## Spotted in now

- GitHub Trending C++ today: #15, +6 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-23 12:53 UTC, updated every 30 minutes.