NVIDIA outlines three key elements of AI factory return on investment
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On October 1, 2026, NVIDIA published a post on its official blog, "Productive, Durable, Interchangeable: How NVIDIA AI Factories Maximize ROI," explaining that the return on investment of AI factories depends on three interrelated factors: revenue capacity, useful life, and demand. Citing SemiAnalysis AgentX data, the article states that NVIDIA Vera Rubin NVL72 delivers over 30 times the throughput per megawatt of GB300 NVL72, and on the DeepSeek V4 Pro model costs as little as 1/45 of GB300 NVL72 per million tokens. This is NVIDIA's first-party articulation of its AI factory economics framework; no follow-up developments have been reported.
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- NVIDIA BlogProductive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment
Returns on NVIDIA AI factories depend on three interrelated factors: revenue capability, lifespan, and demand. Per SemiAnalysis AgentX data, NVIDIA Vera Rubin NVL72 delivers over 30x higher throughput per megawatt than GB300 NVL72, with per-million-token costs as much as 45x lower on the DeepSeek V4 Pro model.