triton-inference-server / client
Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.
☆620Updated this week
Alternatives and similar repositories for client
Users that are interested in client are comparing it to the libraries listed below
Sorting:
- 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
- Common source, scripts and utilities for creating Triton backends.☆321Updated last week
- This repository contains tutorials and examples for Triton Inference Server☆706Updated this 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
- The Triton backend for the ONNX Runtime.☆144Updated last week
- PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.☆790Updated 3 months ago
- The Triton TensorRT-LLM Backend☆833Updated this week
- The core library and APIs implementing the Triton Inference Server.☆126Updated last week
- Common source, scripts and utilities shared across all Triton repositories.☆71Updated 2 weeks ago
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆134Updated this week
- ONNX Optimizer☆707Updated 2 weeks ago
- Common utilities for ONNX converters☆268Updated 5 months ago
- ☆411Updated last year
- The Triton backend for TensorRT.☆75Updated this week
- onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime☆385Updated this week
- ☆255Updated last week
- nvidia-modelopt is a unified library of state-of-the-art model optimization techniques like quantization, pruning, distillation, speculat…☆909Updated this week
- ☆69Updated this week
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆464Updated this week
- Universal cross-platform tokenizers binding to HF and sentencepiece☆327Updated last week
- The Triton backend for the PyTorch TorchScript models.☆150Updated last week
- Examples for using ONNX Runtime for model training.☆335Updated 6 months ago
- 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
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆808Updated this week
- Running BERT without Padding☆471Updated 3 years ago
- ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.☆349Updated this week
- This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server☆283Updated 2 years ago
- TensorRT Plugin Autogen Tool☆369Updated 2 years ago
- The Triton backend for TensorFlow.☆51Updated last month