Which of the following NVIDIA compute platforms is best suited for deploying AI workloads at the edge with minimal latency?

The NVIDIA Jetson platform is specifically designed for edge computing and is highly optimized for deploying AI workloads with minimal latency. It provides a compact form factor with powerful GPU capabilities, making it ideal for processing data locally at the edge rather than relying on cloud processing.

The Jetson platform supports various AI frameworks and is equipped with the necessary hardware acceleration to handle complex AI tasks efficiently. This proximity to data generation significantly reduces latency, which is crucial for applications such as robotics, autonomous vehicles, and Internet of Things (IoT) devices.

In contrast, the other platforms mentioned are designed for different use cases. NVIDIA Tesla is primarily geared towards data center environments and high-performance computing, which may introduce latency due to the distance from the edge. NVIDIA RTX focuses on high-end graphics and gaming applications rather than edge AI deployment. Lastly, NVIDIA GRID is more suited for virtual desktop infrastructure and GPU virtualization in data centers, rather than for edge-specific AI workloads. Thus, the Jetson platform is clearly the most fitting choice for minimal latency in edge AI applications.