CUDA integration for Python, plus shiny features
☆2,054Sep 12, 2026Updated last month
Alternatives and similar repositories for pycuda
Users that are interested in pycuda are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- OpenCL integration for Python, plus shiny features☆1,155Oct 5, 2026Updated last week
- Python interface to GPU-powered libraries☆990Oct 15, 2023Updated 2 years ago
- NumPy & SciPy for GPU☆12,363Updated this week
- NumPy aware dynamic Python compiler using LLVM☆11,174Updated this week
- Python module for performing basic dense linear algebra computations on the GPU using CUDA.☆612May 28, 2020Updated 6 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.
- A code generator for array-based code on CPUs and GPUs☆639Sep 27, 2026Updated 2 weeks ago
- CUDA Python: Performance meets Productivity☆3,395Updated this week
- Open standard for machine learning interoperability☆21,583Updated this week
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆13,403Updated this week
- Seamless operability between C++11 and Python☆18,025Updated this week
- [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl☆5,001Feb 8, 2024Updated 2 years ago
- Development repository for the Triton language and compiler☆20,366Updated this week
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,775Updated this week
- [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl☆1,845Oct 9, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆36,413Updated this week
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆9,005Oct 5, 2026Updated last week
- Open Machine Learning Compiler Framework☆13,824Updated this week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆3,014Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,569Updated this week
- An easy to use PyTorch to TensorRT converter☆4,888Aug 17, 2024Updated 2 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,680Sep 17, 2026Updated 3 weeks ago
- cuDF - GPU DataFrame Library☆9,776Updated this week
- Build and run Docker containers leveraging NVIDIA GPUs☆17,601Dec 6, 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.
- ArrayFire: a general purpose GPU library.☆4,903Sep 12, 2026Updated last month
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆11,081Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,695Sep 9, 2026Updated last month
- ONNX-TensorRT: TensorRT backend for ONNX☆3,241Updated this week
- Optimized primitives for collective multi-GPU communication☆5,153Updated this week
- Simplify your onnx model☆4,415Updated this week
- [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl☆2,301Feb 7, 2024Updated 2 years ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆31,395Updated this week
- The most widely used Python to C compiler☆10,865Updated this week
- 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.
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆104,798Updated this week
- Python wrappers for the NVIDIA cuDNN libraries☆143May 26, 2017Updated 9 years ago
- Pure Python GPGPU library☆170Sep 17, 2025Updated last year
- Efficiently computes derivatives of NumPy code.☆7,539Oct 6, 2026Updated last week
- Pyculib - Python bindings for CUDA libraries☆99Feb 18, 2019Updated 7 years ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆44,021Updated this week
- Compiler for Neural Network hardware accelerators☆3,316May 11, 2024Updated 2 years ago