CUDA Python: Performance meets Productivity
☆3,185Mar 17, 2026Updated this week
Alternatives and similar repositories for cuda-python
Users that are interested in cuda-python are comparing it to the libraries listed below
Sorting:
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,442Updated this week
- Development repository for the Triton language and compiler☆18,656Updated this week
- CUDA Core Compute Libraries☆2,217Updated this week
- NumPy & SciPy for GPU☆10,847Updated this week
- The CUDA target for Numba☆263Updated this week
- A Python framework for accelerated simulation, data generation and spatial computing.☆6,326Updated 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…☆3,211Updated this week
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆13,120Updated this week
- FlashInfer: Kernel Library for LLM Serving☆5,145Updated this week
- NVIDIA Math Libraries for the Python Ecosystem☆553Mar 11, 2026Updated last week
- CUDA Library Samples☆2,346Updated this week
- A PyTorch native platform for training generative AI models☆5,139Mar 13, 2026Updated last week
- Fast and memory-efficient exact attention☆22,832Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,953Jan 6, 2026Updated 2 months ago
- SGLang is a high-performance serving framework for large language models and multimodal models.☆24,455Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,364Mar 13, 2026Updated last week
- PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT☆2,958Updated this week
- Distributed Compiler based on Triton for Parallel Systems☆1,386Mar 11, 2026Updated last week
- A Datacenter Scale Distributed Inference Serving Framework☆6,250Updated this week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,273Aug 28, 2025Updated 6 months ago
- CUDA Kernel Benchmarking Library☆831Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,730Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆2,156Mar 12, 2026Updated last week
- CUDA integration for Python, plus shiny features☆2,030Feb 22, 2026Updated 3 weeks ago
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,800Mar 9, 2026Updated last week
- Tile primitives for speedy kernels☆3,232Updated this week
- Material for gpu-mode lectures☆5,841Feb 1, 2026Updated last month
- NumPy and SciPy on Multi-Node Multi-GPU systems☆967Updated this week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,108Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆73,479Updated this week
- A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Auto…☆16,918Updated this week
- Efficient Triton Kernels for LLM Training☆6,216Updated this week
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆383Updated this week
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆6,253Feb 27, 2026Updated 3 weeks ago
- Ongoing research training transformer models at scale☆15,647Updated this week
- 🚀 Efficient implementations of state-of-the-art linear attention models☆4,630Updated this week
- Transformer related optimization, including BERT, GPT☆6,397Mar 27, 2024Updated last year
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,077Apr 17, 2024Updated last year
- An efficient C++20 GPU numerical computing library with Python-like syntax☆1,406Updated this week