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NVIDIA Rethinking AI TCO: Why Per-Token Cost Is the Only Metric That Matters

As AI inference becomes the primary workload, traditional TCO metrics like per-dollar FLOPS are misleading. NVIDIA argues that per-token cost is the critical measure of AI infrastructure economics, demonstrating that its Blackwell platform delivers up to 35x lower cost per million tokens and 50x more tokens per watt compared to Hopper.

Source量子位Author: 梦晨
NVIDIA Rethinking AI TCO: Why Per-Token Cost Is the Only Metric That Matters
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Key points

  • AI data centers are evolving into token factories, with output measured in tokens of intelligence.
  • Traditional input metrics like per-dollar FLOPS fail to capture real business value.
  • NVIDIA Blackwell achieves 35x lower per-token cost and 50x higher tokens per watt than Hopper.
  • Enterprises should evaluate AI infrastructure based on per-token cost and actual token throughput.

Highlights and analysis are generated automatically and may contain errors. Check the original source.

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