NVIDIA’s $20B strategic integration of Groq marks a structural inflection point in the AI economy. It’s not an acquisition in the conventional sense — it’s a strategic repositioning around the emerging bottleneck in AI economics: inference latency. This move signals a new equilibrium in compute strategy — where capital, physics, and infrastructure converge. It confirms that the next frontier of value in AI will not be determined by training capacity, but by real-time inferenc