Characterizing VLA Models: Identifying the Action Generation Bottleneck for Edge AI Architectures

Research identifies a critical bottleneck in Vision-Language-Action (VLA) models for edge AI, where up to 75% of latency comes from memory-bound action generation phases. The study analyzes performance on Nvidia edge hardware and projects requirements for scaling to 100B parameter models in robotics applications.