NVIDIA Jetson (D) is best suited for deploying AI workloads at the edge with minimal latency. The Jetson family (e.g., Jetson Nano, AGX Xavier) is designed for compact, power-efficient edge computing, delivering real-time AI inference for applications like IoT, robotics, and autonomous systems. It integrates GPU, CPU, and I/O in a single module, optimized for low-latency processing on-site.
NVIDIA GRID(A) is for virtualized GPU sharing, not edge deployment.
NVIDIA Tesla(B) is a data center GPU, too power-hungry for edge use.
NVIDIA RTX(C) targets gaming/workstations, not edge-specific needs.
Jetson’s edge focus is well-documented by NVIDIA (D).
[References:NVIDIA Jetson Platform documentation on nvidia.com., ]
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