The Triton TensorRT-LLM Backend
☆926Feb 20, 2026Updated last week
Alternatives and similar repositories for tensorrtllm_backend
Users that are interested in tensorrtllm_backend are comparing it to the libraries listed below
Sorting:
- TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizat…☆12,993Updated this week
- ☆331Feb 9, 2026Updated 3 weeks ago
- OpenAI compatible API for TensorRT LLM triton backend☆220Aug 1, 2024Updated last year
- The Triton Inference Server provides an optimized cloud and edge inferencing solution.☆10,393Updated this week
- A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresse…☆2,078Updated this week
- This repository contains tutorials and examples for Triton Inference Server☆825Feb 9, 2026Updated 3 weeks ago
- Common source, scripts and utilities for creating Triton backends.☆369Feb 9, 2026Updated 3 weeks ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆506Feb 17, 2026Updated 2 weeks ago
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.☆7,645Updated this week
- Transformer related optimization, including BERT, GPT☆6,398Mar 27, 2024Updated last year
- The Triton backend for TensorRT.☆87Feb 9, 2026Updated 3 weeks ago
- FlashInfer: Kernel Library for LLM Serving☆5,057Updated this week
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆682Feb 24, 2026Updated last week
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,097Jun 30, 2025Updated 8 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,315May 11, 2025Updated 9 months ago
- Large Language Model Text Generation Inference☆10,788Jan 8, 2026Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,176Updated this week
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆673Updated this week
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,919Updated this week
- SGLang is a high-performance serving framework for large language models and multimodal models.☆23,905Updated this week
- Easy and Efficient Quantization for Transformers☆206Jan 28, 2026Updated last month
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,443Jul 17, 2025Updated 7 months ago
- The Triton backend for the ONNX Runtime.☆173Feb 25, 2026Updated last week
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆836Aug 13, 2025Updated 6 months ago
- Fast and memory-efficient exact attention☆22,460Updated this week
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,710Jun 25, 2024Updated last year
- ☆413Nov 11, 2023Updated 2 years ago
- NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source compone…☆12,723Updated this week
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆1,051Updated this week
- The core library and APIs implementing the Triton Inference Server.☆169Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆5,027Apr 11, 2025Updated 10 months ago
- Serving multiple LoRA finetuned LLM as one☆1,144May 8, 2024Updated last year
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆4,843Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,025Sep 4, 2024Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆71,883Updated this week
- A Datacenter Scale Distributed Inference Serving Framework☆6,154Updated this week
- ☆206May 5, 2025Updated 9 months ago
- Disaggregated serving system for Large Language Models (LLMs).☆777Apr 6, 2025Updated 10 months ago
- LLMPerf is a library for validating and benchmarking LLMs☆1,091Dec 9, 2024Updated last year