Dec 2, 2021 · The new TensorRT framework integrations now provide a simple API in PyTorch and TensorFlow with powerful FP16 and INT8 optimizations to accelerate inference by up to 6x. Highlights include TensorRT 8.2: Optimizations for T5 and GPT-2 run real-time translation and summarization with 21x faster performance compared to CPUs.

TensorRT is also integrated directly into PyTorch and TensorFlow. Torch-TensorRT and TensorFlow-TensorRT allow users to go directly from any trained model to a TensorRT optimized engine in just one line of code, all without leaving the framework.

Dec 2, 2021 · Torch-TensorRT is an integration for PyTorch that leverages inference optimizations of TensorRT on NVIDIA GPUs. With just one line of code, it provides a simple API that gives up to 6x performance speedup on NVIDIA GPUs.

Mar 30, 2025 · Using PyTorch with TensorRT through the ONNX notebook shows how to generate ONNX models from a PyTorch ResNet-50 model, convert those ONNX models to TensorRT engines using trtexec, and use the TensorRT runtime to feed input to the TensorRT engine at inference time.

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It is designed to work in a complementary fashion with training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses specifically on running an already-trained network quickly and efficiently on NVIDIA hardware.

Apr 9, 2025 · TF-TRT is the TensorFlow integration for NVIDIA’s TensorRT (TRT) High-Performance Deep-Learning Inference SDK, allowing users to take advantage of its functionality directly within the TensorFlow framework.

NVIDIA Optimized Frameworks such as Kaldi, NVIDIA Optimized Deep Learning Framework (powered by Apache MXNet), NVCaffe, PyTorch, and TensorFlow (which includes DLProf and TF-TRT) offer flexibility with designing and ... NVIDIA TensorRT™ 10.9.0.34; Torch-TensorRT 2.7.0a0; NVIDIA DALI® 1.47; nvImageCodec 0.2.0.7; MAGMA 2.6.2; JupyterLab 4.3.5 ...

Jul 20, 2022 · This post discusses using NVIDIA TensorRT, its framework integrations for PyTorch and TensorFlow, NVIDIA Triton Inference Server, and NVIDIA GPUs to accelerate and deploy your models. NVIDIA TensorRT. NVIDIA TensorRT is an SDK for high-performance deep learning inference.

Mar 30, 2025 · NVIDIA TensorRT is an SDK that facilitates high-performance machine learning inference. It complements training frameworks such as TensorFlow, PyTorch, and MXNet. It focuses on running an already-trained network quickly and efficiently on NVIDIA hardware.

TensorRT integrates directly into PyTorch and Hugging Face to achieve 6X faster inference with a single line of code. TensorRT provides an ONNX parser to import ONNX models from popular frameworks into TensorRT.