Allocating more memory to AWS Lambda functions can paradoxically reduce costs because increased memory improves execution speed, lowering billed duration. The relationship has diminishing returns, and the optimal memory allocation varies per function — in the example shown, 1.5 GB was the sweet spot for minimizing cost.

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