Organizations are shifting AI infrastructure decisions from peak chip specifications to cost-per-token, considering dollars, watts, and latency targets for production deployments. NVIDIA claims its full-stack inference software continuously improves hardware performance, enhancing this metric even after initial deployment.
AI infrastructure buyers are prioritizing operational efficiency over raw performance, making software optimization a binding variable for deployed compute value.