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Videos · · 2:48

Build vs Buy for AI Infrastructure

Build vs. buy for AI infrastructure starts by separating commodity capabilities from differentiating logic, then weighing lifecycle costs and risk.

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In the full article

  1. How should teams make the build-versus-buy decision?
  2. What belongs in the commodity or differentiating layer?
  3. What hidden costs change the build-versus-buy decision?
  4. Why does a hybrid AI infrastructure architecture work?
  5. Key takeaways
  6. How Hyperlake helps
  7. Frequently asked questions
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Oct 7, 2026

What is AI Model Deployment

AI model deployment is the continuous process of serving, updating, evaluating, scaling, monitoring, and governing production models over time.

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What is AI Observability   Understanding Systems That Don't Have Right Answers

AI observability combines logs, metrics, traces, and evaluation to reveal whether probabilistic systems are reliable, appropriate, compliant, and useful.

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What is AI Platform Engineering

AI platform engineering gives teams shared model access, observability, evaluation, cost controls, and governance for secure, scalable AI delivery.

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