A tutorial for CUDA&PyTorch
☆518Mar 23, 2026Updated 5 months ago
Alternatives and similar repositories for BasicCUDA
Users that are interested in BasicCUDA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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☆3,976Aug 7, 2026Updated last month
- Open sources book with Modern CUDA Learn Notes for Beginners, includes FP16/BF16, FP8, HGEMM, FlashAttention, CuTe, etc.☆11,983Updated this week
- how to optimize some algorithm in cuda.☆3,277Updated this week
- High Performance LLM Inference Operator Library☆1,162Sep 7, 2026Updated last week
- learning how CUDA works☆407Mar 3, 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.
- CUDA 算子手撕与面试指南☆1,118Aug 23, 2025Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆282Jul 1, 2025Updated last year
- Nano vLLM☆15,518Apr 26, 2026Updated 4 months ago
- FlashInfer: Kernel Library for LLM Serving☆6,452Updated this week
- My learning notes for ML SYS.☆7,368Sep 10, 2026Updated last week
- A compact implementation of SGLang, designed to demystify the complexities of modern LLM serving systems.☆5,096May 17, 2026Updated 4 months ago
- how to learn PyTorch and OneFlow☆502Aug 13, 2026Updated last month
- ☆855Updated this week
- 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。☆8,248Dec 22, 2025Updated 8 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Based on Nano-vLLM, a simple replication of vLLM with self-contained paged attention and flash attention implementation☆1,039Aug 29, 2026Updated 3 weeks ago
- flash attention tutorial written in python, triton, cuda, cutlass☆535Jan 20, 2026Updated 8 months ago
- From Minimal GEMM to Everything☆243Jul 9, 2026Updated 2 months ago
- hpc 教程,包含集合通信(mpi、nccl)、cuda 编程、向量化 SIMD、RDMA 通信等☆721Apr 27, 2026Updated 4 months ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,614Updated this week
- ☆192May 11, 2026Updated 4 months ago
- compiler learning resources collect.☆2,777May 20, 2026Updated 4 months ago
- A simple high performance CUDA GEMM implementation.☆440Jan 4, 2024Updated 2 years ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆203Feb 11, 2026Updated 7 months ago
- 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 self-learning tutorail for CUDA High Performance Programing.☆1,114Jan 14, 2026Updated 8 months ago
- NVIDIA cuTile learn☆168Dec 9, 2025Updated 9 months ago
- A lightweight design for computation-communication overlap.☆247Jan 20, 2026Updated 8 months ago
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆59Aug 12, 2024Updated 2 years ago
- Material for gpu-mode lectures☆6,617Sep 9, 2026Updated last week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,363Aug 28, 2025Updated last year
- CUDA 13.1 Tutorial Series for RTX 5090 (Blackwell) - Chinese teaching materials☆30Jan 18, 2026Updated 8 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆7,433Updated this week
- USP: Unified (a.k.a. Hybrid, 2D) Sequence Parallel Attention for Long Context Transformers Model Training and Inference☆693Updated 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 a Pytorch-like DL library in C++ from scratch, step by step☆379Apr 15, 2026Updated 5 months ago
- ☆45Sep 8, 2025Updated last year
- Implement Flash Attention using Cute.☆111Dec 17, 2024Updated last year
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,457Updated this week
- Flash Attention from Scratch on CUDA Ampere☆197Sep 1, 2025Updated last year
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,508Aug 14, 2026Updated last month
- ☆137Sep 22, 2025Updated 11 months ago