A collection of memory efficient attention operators implemented in the Triton language.
☆308Aug 31, 2026Updated last week
Alternatives and similar repositories for FlagAttention
Users that are interested in FlagAttention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- FlagGems is an operator library for large language models implemented in the Triton Language.☆1,092Updated this week
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- FlagPerf is an open-source software platform for benchmarking AI chips.☆378Jul 18, 2026Updated last month
- ☆118Jul 28, 2026Updated last month
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆192Jan 28, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A Triton JIT runtime and ffi provider in C++☆40Aug 7, 2026Updated last month
- A Quirky Assortment of CuTe Kernels☆1,137Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆534Jan 20, 2026Updated 7 months ago
- ☆272Jul 11, 2024Updated 2 years ago
- A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.☆604Aug 14, 2026Updated 3 weeks ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆83Aug 12, 2024Updated 2 years ago
- Cataloging released Triton kernels.☆311Sep 9, 2025Updated 11 months ago
- Collection of kernels written in Triton language☆200Jan 27, 2026Updated 7 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆48Jun 11, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Distributed Compiler and Optimized Parallel Kernels☆1,539Aug 12, 2026Updated 3 weeks ago
- Applied AI experiments and examples for PyTorch☆323Aug 22, 2025Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆452Mar 5, 2026Updated 6 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆101Sep 19, 2025Updated 11 months ago
- Experiment of using Tangent to autodiff triton☆81Jan 22, 2024Updated 2 years ago
- Accelerating MoE with IO and Tile-aware Optimizations☆759Aug 29, 2026Updated last week
- FlashTile is a CUDA Tile IR compiler that is compatible with NVIDIA's tileiras, targeting SM70 through SM121 NVIDIA GPUs.☆60Feb 6, 2026Updated 7 months ago
- Examples of CUDA implementations by Cutlass CuTe☆282Jul 1, 2025Updated last year
- ☆355Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Implement Flash Attention using Cute.☆111Dec 17, 2024Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Dec 11, 2023Updated 2 years ago
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- ☆125May 19, 2025Updated last year
- FA4-based Relative Attention Kernel developed by TML and Colfax☆18Jul 17, 2026Updated last month
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,275Updated this week
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- Triton-based implementation of Sparse Mixture of Experts.☆280Oct 3, 2025Updated 11 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆770Aug 6, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- how to optimize some algorithm in cuda.☆3,246Updated this week
- Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models☆343Feb 23, 2025Updated last year
- Tile primitives for speedy kernels☆3,667Aug 28, 2026Updated last week
- ☆92Jan 23, 2025Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆154May 29, 2025Updated last year
- Transformers components but in Triton☆34May 9, 2025Updated last year
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆117Aug 4, 2026Updated last month