NVIDIA Details AI Factory Performance Per Watt
NVIDIA Blog · rss · 2026-07-14
NVIDIA emphasizes that performance per watt is the ultimate metric for AI infrastructure efficiency, directly dictating the revenue and profit of AI factories under fixed power budgets.
- Architectural Advantage: As frontier models shift to MoE architectures, the NVIDIA Blackwell NVL72 platform leverages hardware-software co-design to achieve far better performance per watt than Hopper on models like DeepSeek, GLM, and Kimi.
- Software Optimization: Combining technologies like NVFP4 quantization, disaggregated serving, and KV cache offloading significantly boosts single-GPU performance.
- Energy Management: The DSX MaxLPS platform dynamically allocates GPU power and supports liquid cooling, allowing operators to run up to 40% more GPUs under the same power budget.
- Production Validated: Companies like Anthropic, OpenAI, and CoreWeave have adopted this platform for large-scale inference services.
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