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Frontiers of compute: The technologies to reduce AI inference costs

AI's next breakthrough may not be a smarter model but a cheaper token.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Inference cost reduction is becoming the competitive moat. Companies that master cheaper compute will unlock new use cases and margin expansion that raw model capability alone cannot deliver.

The key facts

4 to know
  1. Focus shifts from model performance to inference economics

  2. Cost-per-token optimization emerging as primary differentiator

  3. McKinsey analysis of compute infrastructure technologies

  4. Inference efficiency as path to enterprise AI deployment at scale

Go to the source

McKinsey Insightsmckinsey.com

Publisher excerpt: AI’s next breakthrough may not be a smarter model but a cheaper token.
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