What is NVIDIA TensorRT?

NVIDIA TensorRT is an AI-acceleration platform that provides maximum performance and fast inference times for deep learning applications. It is a high-performance deep learning inference optimizer and runtime for production deployment of AI models.

With NVIDIA TensorRT, you can quickly optimize and deploy trained neural networks in production environments, enabling faster and more accurate inference. NVIDIA TensorRT enables developers to optimize, validate, and deploy trained deep learning models in production environments with dramatically higher inference performance.

It features highly optimized graph optimizations, such as layer fusion, kernel auto-tuning, and half-precision FP16 support, to accelerate model inference by up to 100x compared to CPU-only platforms. Additionally, it offers built-in support for NVIDIA GPUs, and works with popular deep learning frameworks such as TensorFlow and PyTorch.

NVIDIA TensorRT is ideal for developers and data scientists who need to quickly optimize and deploy trained deep learning models in production environments.

Use Cases And Features

1. Accelerate inference speeds up to 100x with NVIDIA TensorRT.

2. Optimize, validate, and deploy trained deep learning models quickly.

3. Compatible with popular deep learning frameworks like TensorFlow and PyTorch.