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Beyond the Model: 7 System Design Patterns Every AI Engineer Must Master

How to scale, protect, and optimize your LLM infrastructure against cascading failures, traffic surges, and runaway API costs.

You spent weeks tuning your model. Your training loss is near zero, the evaluation metrics look flawless, and it handles prompts like a charm in local testing.

Then you launch.

Within minutes, a sudden spike in traffic hits. Your GPU memory spikes, third-party API token costs skyrocket, a downstream microservice drops a connection, and the entire applicat…

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