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Uber’s Zero Growth Stack: Scaling Services, While Optimising Infrastructure and AI Cost

Uber's infrastructure bet: decouple capacity growth from business demand. Here's how they're cutting hardware spend while scaling AI.

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

Uber is rearchitecting its infrastructure layer to separate compute capacity planning from revenue growth — a cost optimization strategy that could reshape how hyperscalers approach AI tooling and developer productivity tradeoffs.

The key facts

10 to know
  1. Uber's 'Zero Growth Stack' decouples capacity growth from business demand

  2. Garbage collection optimization as core efficiency mechanism

  3. Generative AI integrated into development workflows for productivity gains

  4. Cost management measures introduced alongside AI adoption

  5. Focus on reducing hardware needs while maintaining service scalability

  6. Uber's 'Zero Growth Stack' framework separates capacity growth from business demand

  7. Garbage collection optimization as core infrastructure play

  8. Generative AI integrated into developer workflows for productivity gains

  9. Cost management and economic efficiency measures implemented alongside AI integration

  10. Focus on reducing hardware needs while maintaining service scaling

Go to the source

InfoQ AI/MLinfoq.com

Publisher excerpt: Uber's "Zero Growth Stack" focuses on scalable infrastructure that separates capacity growth from business demand, reducing hardware needs while enhancing service scaling. Central to this is garbage collection optimisation. Additionally, generative AI is integrated into development, elevating…
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