The cost of AI infrastructure is increasingly driven by memory expenses, with DRAM prices jumping roughly 7x in the past year. As hyperscalers expand data centers, managing prompt caching and memory orchestration is emerging as a key competitive factor. Companies that master cache optimization can reduce token usage and inference costs, opening new avenues for profitability in AI applications.
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