What NVIDIA solution is designed for optimizing AI model inference in production environments with low latency?

NVIDIA TensorRT is specifically designed for optimizing AI model inference in production environments where low latency is crucial. It is a high-performance deep learning inference optimizer and runtime that can significantly reduce inference time while maximizing throughput. TensorRT achieves this by utilizing various techniques such as precision calibration (using FP16 and INT8), layer fusion, and kernel optimization, which are essential for real-time applications.

While other NVIDIA solutions may also support AI applications, they serve different purposes. For instance, the NVIDIA DGX A100 system is a powerful workstation designed for training and high-performance computing but is not specifically optimized for inference. NVIDIA DeepStream is focused on streaming analytics and intelligent video processing, which can incorporate inference but is not strictly about optimizing model performance. NVIDIA Omniverse is aimed at collaborative design and simulation across industries and is not focused on AI model inference. Thus, TensorRT stands out as the best-suited solution for the specific requirement of low-latency inference.