Implement Flash Attention using Cute.
☆111Dec 17, 2024Updated last year
Alternatives and similar repositories for cute-flash-attention
Users that are interested in cute-flash-attention are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- ☆122May 16, 2025Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆282Jul 1, 2025Updated last year
- ☆192May 11, 2026Updated 3 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆83Aug 12, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- flash attention tutorial written in python, triton, cuda, cutlass☆534Jan 20, 2026Updated 7 months ago
- NVIDIA cuTile learn☆168Dec 9, 2025Updated 8 months ago
- ☆39Dec 14, 2025Updated 8 months ago
- ☆48Nov 1, 2025Updated 10 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
- Flash Attention in ~100 lines of CUDA (forward pass only)☆12Jun 10, 2024Updated 2 years ago
- ☆37Aug 7, 2025Updated last year
- FA4-based Relative Attention Kernel developed by TML and Colfax☆18Jul 17, 2026Updated last month
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,180Dec 30, 2024Updated 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.
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- High performance RMSNorm Implement by using SM Core Storage(Registers and Shared Memory)☆31Jan 22, 2026Updated 7 months ago
- DeeperGEMM: crazy optimized version☆85May 5, 2025Updated last year
- ☆272Jul 11, 2024Updated 2 years ago
- ☆65Apr 26, 2025Updated last year
- 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
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆158May 10, 2025Updated last year
- study of cutlass☆22Nov 10, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- FLA but cuTile☆27Apr 17, 2026Updated 4 months ago
- 使用 cutlass 实现 flash-attention 精简版，具有教学意义☆59Aug 12, 2024Updated 2 years ago
- CUTLASS and CuTe Examples☆140Nov 30, 2025Updated 9 months ago
- ☆67Feb 15, 2026Updated 6 months ago
- An experimental communicating attention kernel based on DeepEP.☆34Jul 29, 2025Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- ☆32Jul 2, 2025Updated last year
- Framework to reduce autotune overhead to zero for well known deployments.☆101Sep 19, 2025Updated 11 months ago
- ☆125May 19, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆433Aug 26, 2026Updated last week
- Fastest kernels written from scratch☆619Aug 15, 2026Updated 3 weeks ago
- ☆155Aug 18, 2025Updated last year
- A Easy-to-understand TensorOp Matmul Tutorial☆452Mar 5, 2026Updated 6 months ago
- ☆20Sep 28, 2024Updated last year
- Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.☆331Updated this week
- ☆54May 19, 2025Updated last year