# AuleTechnologies/Aule-Attention

<https://repo.masters-masters.com/en/repos/AuleTechnologies/Aule-Attention>

[Home](https://repo.masters-masters.com/en) › [AuleTechnologies](https://repo.masters-masters.com/en/owners/AuleTechnologies) › [Aule-Attention](https://repo.masters-masters.com/en/repos/AuleTechnologies/Aule-Attention)

AuleTechnologies/Aule-Attention has 160 stars on GitHub. Its RepoMasters card: Prototype tier. High-performance FlashAttention-2 for AMD, Intel, and Apple…

| Field | Value |
| --- | --- |
| Owner | [AuleTechnologies](https://repo.masters-masters.com/en/owners/AuleTechnologies) |
| Stars | 160 |
| Forks | 8 |
| Language | [Zig](https://repo.masters-masters.com/en/languages/zig) |
| License | None |
| Created | 2025 |
| Topics | ai, cuda, ml, pytorch, rocm |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AuleTechnologies/Aule-Attention](https://github.com/AuleTechnologies/Aule-Attention) |

## Repository

High-performance FlashAttention-2 for AMD, Intel, and Apple GPUs. Drop-in replacement for PyTorch SDPA. Triton backend for ROCm (MI300X, RDNA3), Vulkan backend for consumer GPUs. No CUDA required.

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.