triton-inference-server / tensorrt_backend
The Triton backend for TensorRT.
☆73Updated this week
Alternatives and similar repositories for tensorrt_backend:
Users that are interested in tensorrt_backend are comparing it to the libraries listed below
- The Triton backend for the ONNX Runtime.☆140Updated last week
- Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.☆199Updated 3 months ago
- The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.☆132Updated this week
- Common source, scripts and utilities for creating Triton backends.☆316Updated last week
- Common source, scripts and utilities shared across all Triton repositories.☆69Updated last week
- The Triton backend for the PyTorch TorchScript models.☆146Updated 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…☆472Updated this week
- ☆246Updated last week
- OpenVINO backend for Triton.☆31Updated last week
- Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inferen…☆62Updated last month
- Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.☆619Updated this week
- ☆18Updated last week
- ☆186Updated 6 months ago
- ☆61Updated this week
- The core library and APIs implementing the Triton Inference Server.☆124Updated last week
- ☆33Updated last year
- The Triton backend for TensorFlow.☆51Updated last week
- Triton backend that enables pre-process, post-processing and other logic to be implemented in Python.☆603Updated last week
- Deploy stable diffusion model with onnx/tenorrt + tritonserver☆123Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆168Updated 3 weeks ago
- ☆65Updated 2 years ago
- Transformer related optimization, including BERT, GPT☆17Updated last year
- Model compression for ONNX☆91Updated 5 months ago
- Common utilities for ONNX converters☆266Updated 4 months ago
- ☆117Updated last year
- Easy and Efficient Quantization for Transformers☆197Updated 2 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆16Updated 10 months ago
- Count number of parameters / MACs / FLOPS for ONNX models.☆91Updated 5 months ago
- Serving Inside Pytorch☆160Updated this week
- ☆31Updated 2 years ago