Multi-cloud AI deployment — when it's worth the cost

The multi-cloud temptation

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Multi-cloud is not a strategy. It's a consequence of specific constraints.

When multi-cloud is actually justified

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Regulatory data residency

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Vendor lock-in mitigation (the real kind)

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Specific capability requirements

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The cost of multi-cloud

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# Example: Multi-cloud complexity matrix
complexity_factors:
  networking:
    single_cloud: low
    multi_cloud: high
  identity:
    single_cloud: medium
    multi_cloud: very_high
  observability:
    single_cloud: medium
    multi_cloud: high
  deployment:
    single_cloud: low
    multi_cloud: high
  cost_management:
    single_cloud: medium
    multi_cloud: very_high

Architecture patterns that work

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Pattern 1: Regional isolation

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Pattern 2: Capability specialization

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The goal is not to be cloud-agnostic. It's to be cloud-appropriate.

Pattern 3: Graceful degradation

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Making the decision

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1. List your actual constraints — regulatory, operational, capability
2. Cost the alternatives — single-cloud with workarounds vs. multi-cloud
3. Assess your team — do you have the operational maturity?
4. Start small — if justified, begin with one specific use case