Pipi three-data-centre model revisited

Mike's Notes

I was greatly influenced by a recent article by Gennaro Cuofano in The Business Engineer about how Apple ensures Privacy.

Gennaro wrote ..."

Apple’s response is not to win training. It is to dominate inference

Apple’s strategy is internally coherent:

Tier 1: On-device inference

    • Small local models handle personal and contextual tasks.
    • These run without network dependency and with minimal privacy leakage.

Tier 2: Private Cloud Compute

    • Apple Silicon-based servers handle workloads beyond device capacity.
    • The architecture is stateless and privacy-preserving.

Tier 3: Third-party frontier models

    • Apple relies on external model providers such as Google and OpenAI for world knowledge and advanced reasoning.
    • These models are treated as backend commodities underneath Apple’s interface layer.

..."

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Last Updated

29/03/2026

Pipi three-data-centre model revisited

By: Mike Peters
On a Sandy Beach: 29/03/2026

Mike is the inventor and architect of Pipi and the founder of Ajabbi.

Data Centres

Because of its unusual architecture, Pipi needs three separate data centres that work together in a chain.

Rendering > Staging > Cloud

  • Rendering built enterprise applications
  • Staging update, localise and deploy enterprise applications
  • Cloud hosting enterprise applications

I like the way Apple ensures privacy for people using AI on their iPhone. Any extra AI work is offloaded to Apple's cloud servers for processing, which are stateless and store nothing. That got me thinking.

Could part of Pipi be made stateless to add extra privacy like Apple?

Possible data centre model

  • Rendering: This is stateful; each agent-engine has its own database. Each enterprise customer has a physical server to host a digital twin.
  • Staging: could it be stateless for security?
  • Cloud: This would be stateful using customer-eyes-only databases.

Would that work? How?

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