Is caching a time-space trade-off?
Yes, caching consumes expensive, fast memory (Space) to store computed results, saving the system from having to perform slow recalculations (Time).
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It is the engineering principle that increasing the speed of an algorithm (Time) usually requires consuming more memory (Space), and vice versa.
Because modern computers and cloud servers have vast amounts of cheap RAM, making CPU execution time the primary bottleneck for user experience and scale.
It consumes O(N) memory to store data, but in exchange, it provides O(1) instant lookups, entirely eliminating the need for slow O(N) searching loops.
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