Which NVIDIA solution is best suited for processing video streams from multiple cameras with minimal latency?

The best choice for processing video streams from multiple cameras with minimal latency is NVIDIA DeepStream. This solution is specifically designed for building and deploying AI-powered applications for video analytics. DeepStream provides a robust framework that supports multi-stream processing, enabling the handling of numerous video inputs efficiently while maintaining low latency.

Its architecture is optimized for real-time inferencing, allowing developers to implement complex AI models that can analyze video streams in parallel. Additionally, DeepStream includes support for hardware acceleration, which can leverage NVIDIA GPUs to enhance the performance of video processing tasks. This makes it an ideal solution for applications such as surveillance, smart cities, and other scenarios that require quick responses to video data.

Other options may serve different purposes. For example, RAPIDS focuses on data science and analytics rather than direct video processing, while Jetson Nano is a versatile platform for AI at the edge but may not handle multiple video streams as effectively as DeepStream. Clara Guardian is tailored for healthcare applications, specifically around medical imaging and monitoring, and is not directly aimed at general video stream processing. Thus, DeepStream stands out as the best fit for the requirements specified in the question.