triton-inference-server / tutorials
This repository contains tutorials and examples for Triton Inference Server
☆706Updated this week
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- The Triton TensorRT-LLM Backend☆833Updated this week
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆608Updated this week
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆476Updated 3 weeks ago
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆620Updated this week
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆790Updated 3 months ago
- Common source, scripts and utilities for creating Triton backends.☆321Updated last week
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆200Updated 3 weeks ago
- nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculat…☆909Updated last week
- ☆255Updated last week
- The Triton backend for the ONNX Runtime.☆144Updated last week
- OpenAI compatible API for TensorRT LLM triton backend☆205Updated 9 months ago
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆134Updated this week
- ☆69Updated this week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆818Updated 8 months ago
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆300Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆806Updated this week
- ☆411Updated last year
- Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inferen…☆62Updated 2 weeks ago
- Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.☆503Updated 3 weeks ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,400Updated this week
- The core library and APIs implementing the Triton Inference Server.☆126Updated last week
- A pytorch quantization backend for optimum☆935Updated 3 weeks ago
- Common source, scripts and utilities shared across all Triton repositories.☆71Updated 2 weeks ago
- The Triton backend for TensorRT.☆75Updated this week
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆808Updated this week
- LLMPerf is a library for validating and benchmarking LLMs☆900Updated 5 months ago
- Common utilities for ONNX converters☆268Updated 5 months ago
- Easy and Efficient Quantization for Transformers☆197Updated 3 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,401Updated 10 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆666Updated 2 months ago