NVIDIA curated collection of educational resources related to general purpose GPU programming.
☆1,847Jul 14, 2026Updated this week
Alternatives and similar repositories for accelerated-computing-hub
Users that are interested in accelerated-computing-hub are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Helpful kernel tutorials, examples and SKILLs for tile-based GPU programming☆776Updated this week
- CUDA Core Compute Libraries☆2,435Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,104Updated this week
- cuTile is a programming model for writing parallel kernels for NVIDIA GPUs☆2,121Updated this week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆11,578Updated 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.
- The CUDA target for Numba☆290Jul 9, 2026Updated last week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆6,674Updated this week
- ☆3,852Mar 11, 2026Updated 4 months ago
- Material for gpu-mode lectures☆6,330Jun 15, 2026Updated last month
- CUDA Python: Performance meets Productivity☆3,320Updated this week
- CUDA Tile IR is an MLIR-based intermediate representation and compiler infrastructure for CUDA kernel optimization, focusing on tile-base…☆999Jul 6, 2026Updated 2 weeks ago
- NVIDIA Math Libraries for the Python Ecosystem☆589Updated this week
- FlashInfer: Kernel Library for LLM Serving☆5,988Updated this week
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆908Sep 26, 2025Updated 9 months ago
- 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.
- NVIDIA NVSHMEM is a parallel programming interface for NVIDIA GPUs based on OpenSHMEM. NVSHMEM can significantly reduce multi-process com…☆560Updated this week
- CUDA Kernel Benchmarking Library☆901Updated this week
- Code, labs, and resources for O'Reilly AI Systems Performance Engineering: GPU optimization, distributed training, inference scaling, and…☆1,674Jul 6, 2026Updated 2 weeks ago
- A curriculum for learning about gpu performance engineering, from scratch to what the frontier AI labs do☆1,256Apr 27, 2026Updated 2 months ago
- Numbast is a tool to build an automated pipeline that converts CUDA APIs into Numba bindings.☆61Updated this week
- CUDA Library Samples☆2,463Updated this week
- Fast low-bit matmul kernels in Triton☆477Updated this week
- GPU programming related news and material links☆2,233Jun 15, 2026Updated last month
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,406May 27, 2026Updated last month
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆290Jul 14, 2026Updated last week
- A Python DSL to write Nvidia PTX for Hopper and Blackwell in JAX and PyTorch☆367Jul 9, 2026Updated last week
- Distributed Compiler based on Triton for Parallel Systems☆1,494Updated this week
- A Datacenter Scale Distributed Inference Serving Framework☆7,540Updated this week
- cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source …☆886Updated this week
- Nsight Python is a Python kernel profiling interface based on NVIDIA Nsight Tools☆281Updated this week
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆267May 6, 2025Updated last year
- A Quirky Assortment of CuTe Kernels☆1,063Updated this week
- Some CUDA example code with READMEs.☆181Jun 9, 2026Updated last month
- 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.
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,376Updated this week
- RAPIDS Deployment Documentation☆15Updated this week
- Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial☆380Jun 26, 2026Updated 3 weeks ago
- ☆655Updated this week
- Complete solutions to the Programming Massively Parallel Processors Edition 4☆810Jun 18, 2025Updated last year
- No-GIL Python environment featuring NVIDIA Deep Learning libraries.☆71Apr 14, 2025Updated last year
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆910Updated this week