Building Hardware-Accelerated FFmpeg on NVIDIA Jetson AGX Orin 64GB

Abstract

This guide provides a comprehensive walkthrough for installing FFmpeg with hardware acceleration (NVENC/NVDEC) on an NVIDIA Jetson AGX Orin 64GB running Ubuntu 22.04 LTS and JetPack 6.2.2 (CUDA 12.6). It also explores the high-performance video processing capabilities unlocked by this hardware configuration, comparing raw FFmpeg workflows against advanced Edge AI frameworks like NVIDIA DeepStream.

1. Why Hardware Acceleration Matters on Jetson

Installing the stock FFmpeg package from the Ubuntu repositories (sudo apt install ffmpeg) is quick, but it lacks optimization for NVIDIA hardware. It forces all video encoding and decoding tasks onto the ARM CPU cores via software implementations (like libx264).

By compiling FFmpeg from source with NVENC/NVDEC support, you offload these heavy mathematical operations to the Jetson's dedicated hardware video codecs and Ampere GPU architecture. This leaves the CPU completely free for application logic, automation scripts, or multi-agent orchestration.