A self-learning tutorail for CUDA High Performance Programing.
☆1,139Jan 14, 2026Updated 8 months ago
Alternatives and similar repositories for CUDATutorial
Users that are interested in CUDATutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An Open-source book with Modern CUDA learning Notes for Beginners - BF16/FP8/FP4, HGEMM, CuTe, Flash-Attention, etc.☆12,052Updated this week
- CUDA 算子手撕与面试指南☆1,131Aug 23, 2025Updated last year
- how to optimize some algorithm in cuda.☆3,307Updated this week
- Material for gpu-mode lectures☆6,824Sep 9, 2026Updated last month
- FlashInfer: Kernel Library for LLM Serving☆6,578Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- My learning notes for ML SYS.☆7,445Sep 20, 2026Updated 2 weeks ago
- learning how CUDA works☆407Mar 3, 2025Updated last year
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,363Jul 29, 2023Updated 3 years ago
- ☆2,807Jan 16, 2024Updated 2 years ago
- Nano vLLM☆15,753Apr 26, 2026Updated 5 months ago
- Kernel Library for Large Headdim Attention (64~1024, BF16/FP8/FP4), 1.5x~15x↑ vs PyTorch SDPA.☆336Sep 26, 2026Updated 2 weeks ago
- 校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library st…☆3,504Jun 22, 2025Updated last year
- Distributed Compiler and Optimized Parallel Kernels☆1,560Sep 18, 2026Updated 3 weeks ago
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,525Aug 14, 2026Updated last month
- 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.
- 校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。☆578Oct 28, 2025Updated 11 months ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,746Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆534Jan 20, 2026Updated 8 months ago
- High Performance LLM Inference Operator Library☆1,173Sep 7, 2026Updated last month
- 分享AI Infra知识&代码练习：PyTorch、vLLM/SGLang、slime/vime框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等☆4,132Sep 20, 2026Updated 2 weeks ago
- This is a Chinese translation of the CUDA programming guide☆2,051Nov 13, 2024Updated last year
- A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.☆5,237May 17, 2026Updated 4 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆206Feb 11, 2026Updated 7 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆8,536Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Examples of CUDA implementations by Cutlass CuTe☆283Jul 1, 2025Updated last year
- ☆123May 16, 2025Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆571Sep 8, 2024Updated 2 years ago
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,370Aug 28, 2025Updated last year
- A CUDA tutorial to make people learn CUDA program from 0☆285Jul 9, 2024Updated 2 years ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,194Dec 30, 2024Updated last year
- From Minimal GEMM to Everything☆244Jul 9, 2026Updated 3 months ago
- A lightweight design for computation-communication overlap.☆249Jan 20, 2026Updated 8 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,547Sep 23, 2026Updated 2 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- AIInfra（AI 基础设施）指AI系统从底层芯片等硬件，到上层软件栈支持AI大模型训练和推理。☆8,373Dec 22, 2025Updated 9 months ago
- compiler learning resources collect.☆2,782May 20, 2026Updated 4 months ago
- NVIDIA cuTile learn☆168Dec 9, 2025Updated 10 months ago
- Materials for learning SGLang☆897Jan 5, 2026Updated 9 months ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆36,925Updated this week
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆428Jan 2, 2025Updated last year
- how to learn PyTorch and OneFlow☆503Aug 13, 2026Updated last month