The NVIDIA Jetson Nano is an entry-level edge AI module for hobbyist robotics and embedded projects. NVIDIA publishes Jetson Nano performance as 472 GFLOPS accelerated compute.1
A single Jetson Nano is normalized to 9.44e+11 dense INT8 operations per second by applying the report conversion rule from FP16-equivalent throughput to INT8 throughput (x2) to the published 472 GFLOPS figure.1
Total compute: 9.44e+11 dense INT8 operations per second.
The module enables experimentation with vision and robotics on personal budgets, but its limited throughput restricts model size and real-time performance compared with newer Jetson modules. Individuals can prototype edge AI applications yet must optimize carefully.
NVIDIA. “Jetson Nano.” Accessed 2026. https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-nano/. ↩ ↩2