Your data is growing. Your RAM bill doesn't have to.

Rising demand for AI-oriented high-bandwidth memory has constrained conventional server DRAM supply, contributing to sharp memory price increases that may persist until new manufacturing capacity arrives in 2027. This trend raises costs for in-memory database users, particularly because much stored data is infrequently accessed, while reducing retention, shrinking caches, or distributing data across multiple systems can impair performance and increase operational complexity. The discussion presents RAM-and-SSD tiering as an alternative, emphasizing that systems able to move both keys and values to SSD can reserve RAM for frequently accessed data while retaining less-active data at lower cost. Redis Flex is presented as a tiered Redis option that lets users select a 10% to 50% RAM ratio, stores hot data in RAM and colder keys and values on SSD, supports terabyte-scale datasets and Redis Search indexes, and is claimed to reduce per-gigabyte costs by up to 80% compared with RAM-only deployments without application code changes.

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