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Meta is using old DDR4 memory in DDR5-only AI servers to save on hardware costs

Cutting corners: Faced with rising memory costs, Meta says it is reusing old DDR4 RAM in its servers rather than buying new hardware. The company revealed this week that it is repurposing DDR4 memory from decommissioned servers into its new DDR5-only machines, using a custom CXL ASIC that avoids the compatibility issues and major latency penalties that typically come with mixing memory generations. The design reportedly cuts AI inference server count by up to 25% and reduces job-restart and fragmentation overhead by 33%.
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Asrock's new HUDIMM standard wants to make DDR5 affordable again, by cutting it in half

The half-bandwidth, half-density memory spec was co-developed with Intel and TeamGroup
Please Burst: Asrock recently introduced the HUDIMM standard, a new type of DDR5 RAM module designed to slash performance and keep the PC memory market affordable throughout some never-before-seen market conditions. The new HUDIMM modules are essentially a worse edition of traditional DDR5, because memory prices inflated by enterprise and AI demand have pushed capable consumer hardware increasingly out of reach for mainstream buyers.