Development repository for the Triton language and compiler
☆19,087May 1, 2026Updated this week
Alternatives and similar repositories for triton
Users that are interested in triton are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Fast and memory-efficient exact attention☆23,563Updated this week
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,663Apr 25, 2026Updated last week
- Transformer related optimization, including BERT, GPT☆6,415Mar 27, 2024Updated 2 years ago
- FlashInfer: Kernel Library for LLM Serving☆5,544Updated this week
- Open Machine Learning Compiler Framework☆13,325Updated this week
- 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☆16,203Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆26,832Updated this week
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆42,231Updated 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…☆13,487Apr 27, 2026Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆78,385Updated this week
- Hackable and optimized Transformers building blocks, supporting a composable construction.☆10,437Apr 21, 2026Updated last week
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,536Updated 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…☆3,312Updated this week
- Tile primitives for speedy kernels☆3,336Updated this week
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Accessible large language models via k-bit quantization for PyTorch.☆8,168Apr 20, 2026Updated 2 weeks ago
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆10,625Updated this week
- Efficient Triton Kernels for LLM Training☆6,315Apr 27, 2026Updated last week
- A retargetable MLIR-based machine learning compiler and runtime toolkit.☆3,738Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆5,928Updated this week
- A machine learning compiler for GPUs, CPUs, and ML accelerators☆4,228Updated this week
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,947Apr 13, 2026Updated 3 weeks ago
- The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.☆1,796Apr 24, 2026Updated last week
- Puzzles for learning Triton☆2,404Apr 1, 2026Updated last month
- 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.
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,718Apr 9, 2026Updated 3 weeks ago
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆42,373Updated this week
- A PyTorch native platform for training generative AI models☆5,286Updated this week
- Tensor library for machine learning☆14,560Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,036Updated this week
- Flax is a neural network library for JAX that is designed for flexibility.☆7,186Updated this week
- Tensors and Dynamic neural networks in Python with strong GPU acceleration☆99,586Updated this week
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆7,144Apr 24, 2026Updated last week
- LLM inference in C/C++☆107,892Updated this week
- 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.
- PyTorch extensions for high performance and large scale training.☆3,409Apr 26, 2025Updated last year
- 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (i…☆9,639Updated this week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,076Apr 17, 2024Updated 2 years ago
- Optimized primitives for collective multi-GPU communication☆4,656Updated this week
- Material for gpu-mode lectures☆6,040Apr 22, 2026Updated last week
- LLM training in simple, raw C/CUDA☆29,780Jun 26, 2025Updated 10 months ago
- A list of awesome compiler projects and papers for tensor computation and deep learning.☆2,741Oct 19, 2024Updated last year