# yanght27/GPU-Perf-Playground

<https://repo.masters-masters.com/en/repos/yanght27/GPU-Perf-Playground>

[Home](https://repo.masters-masters.com/en) › [yanght27](https://repo.masters-masters.com/en/owners/yanght27) › [GPU-Perf-Playground](https://repo.masters-masters.com/en/repos/yanght27/GPU-Perf-Playground)

yanght27/GPU-Perf-Playground has 126 stars on GitHub. Its RepoMasters card: Prototype tier. GPU 性能与 AI Infra 学习项目：CUDA/Triton 算子、NCU/NSYS、vLLM/SGLang/TRT-LLM/m…

| Field | Value |
| --- | --- |
| Owner | [yanght27](https://repo.masters-masters.com/en/owners/yanght27) |
| Stars | 126 |
| Forks | 3 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | ai, cuda, cuda-kernel, cuda-kernels, cuda-programming, cuda-toolkit, deepspeed, gpu, gpu-optimization, gpu-programming |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [yanght27/GPU-Perf-Playground](https://github.com/yanght27/GPU-Perf-Playground) |

## Repository

GPU 性能与 AI Infra 学习项目：CUDA/Triton 算子、NCU/NSYS、vLLM/SGLang/TRT-LLM/ms-swift、PyTorch/DeepSpeed/ms-swift 训练、并行架构

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.