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Step-by-step guide to running a Voice-Language-Action (VLA) demo using Google's Gemma 4 multimodal model on an NVIDIA Jetson Orin Nano Super (8 GB). The pipeline chains Parakeet STT for speech recognition, Gemma 4 via llama.cpp for reasoning and optional webcam vision, and Kokoro TTS for audio output. The model autonomously decides when to capture a webcam frame based on the user's question, with no hardcoded keyword triggers. The tutorial covers building llama.cpp natively with CUDA for Jetson, downloading quantized GGUF model files, configuring audio/webcam devices, memory management tips for the constrained 8 GB board, and running the demo script.

Gemma 4 VLA Demo on Jetson Orin Nano Super

Step 3: Free up RAM (optional but recommended)

Step 5: Find your mic, speaker, and webcam

Bonus: just want to try Gemma 4 in text mode?