EDGE CV & TENSORRT
Embedded 210 FPS
16 min read
YOLOv11 on Embedded Edge: INT8 TensorRT Engine Calibration for 210 FPS
JC
Jutt AI Engineering Lab
Principal Systems & AI Security Architect
September 2026
Jutt Cyber Tech™
Detailed Engineering Index
Deploying computer vision models on edge robotics or surveillance hardware requires sub-10ms frame latencies. Here is our exact workflow compiling YOLOv11 to TensorRT 10.x with INT8 quantization, achieving 210 FPS at 7 Watts on a Jetson Orin Nano.
Domain: #EDGECV&TENSORRT #JuttCyberTech #AIInfrastructure