Samples for CUDA Developers which demonstrates features in CUDA Toolkit
☆9,205May 13, 2026Updated 2 weeks ago
Alternatives and similar repositories for cuda-samples
Users that are interested in cuda-samples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CUDA Library Samples☆2,407May 12, 2026Updated 2 weeks ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,772Updated this week
- CUDA Core Compute Libraries☆2,348Updated this week
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆13,000Apr 13, 2026Updated last month
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,833Oct 9, 2023Updated 2 years ago
- 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.
- Development repository for the Triton language and compiler☆19,246May 22, 2026Updated last week
- Optimized primitives for collective multi-GPU communication☆4,729May 19, 2026Updated last week
- ☆2,746Jan 16, 2024Updated 2 years ago
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆5,003Feb 8, 2024Updated 2 years ago
- how to optimize some algorithm in cuda.☆2,998May 20, 2026Updated last week
- Transformer related optimization, including BERT, GPT☆6,414Mar 27, 2024Updated 2 years ago
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆11,050May 17, 2026Updated last week
- Sample codes for my CUDA programming book☆2,052Dec 14, 2025Updated 5 months ago
- CUDA Kernel Benchmarking Library☆864May 20, 2026Updated last week
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Source code examples from the Parallel Forall Blog☆1,331Sep 23, 2025Updated 8 months ago
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆13,730Updated this week
- FlashInfer: Kernel Library for LLM Serving☆5,666Updated this week
- NCCL Tests☆1,529May 20, 2026Updated last week
- Material for gpu-mode lectures☆6,098May 9, 2026Updated 2 weeks ago
- Learn CUDA Programming, published by Packt☆1,251Dec 30, 2023Updated 2 years ago
- Fast and memory-efficient exact attention☆23,917Updated this week
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,350Updated this week
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆888Sep 26, 2025Updated 8 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.
- Ongoing research training transformer models at scale☆16,427May 22, 2026Updated last week
- A tool for bandwidth measurements on NVIDIA GPUs.☆700Apr 8, 2026Updated last month
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,303Jul 29, 2023Updated 2 years ago
- Open Machine Learning Compiler Framework☆13,387Updated this week
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆545Sep 8, 2024Updated last year
- Lightning fast C++/CUDA neural network framework☆4,491Apr 21, 2026Updated last month
- A fast GPU memory copy library based on NVIDIA GPUDirect RDMA technology☆1,379Mar 12, 2026Updated 2 months ago
- This is a Chinese translation of the CUDA programming guide☆1,973Nov 13, 2024Updated last year
- ☆2,011Jul 29, 2023Updated 2 years ago
- 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.
- CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.☆2,686Mar 31, 2026Updated last month
- [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl☆2,305Feb 7, 2024Updated 2 years ago
- State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enter…☆14,813Aug 12, 2024Updated last year
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆7,272May 13, 2026Updated 2 weeks ago
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆10,687May 21, 2026Updated last week
- cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source …☆822May 21, 2026Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆81,099Updated this week