NVIDIA Outlines Three Elements for AI Factory ROI Maximization: Productivity, Durability, and Interchangeability

Techhub News reports that NVIDIA has outlined three key elements for maximizing ROI in AI factories: productivity, durability, and interchangeability. Productivity refers to maximizing annual revenue potential by achieving the highest throughput per megawatt and the lowest cost per token; durability refers to NVIDIA GPUs and systems continuing to generate revenue years after shipment; interchangeability refers to their ability to run various AI and non-AI workloads, thereby broadening demand. The blog cites SemiAnalysis AgentX data, stating that NVIDIA's Vera Rubin NVL72 system achieves over 30 times higher throughput per megawatt compared to the GB300 NVL72, with up to 45 times lower cost per million tokens on the DeepSeek V4 Pro model. Additionally, NVIDIA's A100 GPUs, shipped since 2020, are still in commercial service, and CoreWeave has extended bookings for some of their units until 2029. (NVIDIA Blog)