Google appears to be reusing DDR4 memory modules removed from retired servers in new AI servers, according to a report by Wccftech.
The move comes as constraints in the DRAM market are affecting AI infrastructure. The report says AI hyperscalers are increasingly seeking unconventional ways to secure needed memory, including an internal recycling supply chain for older DDR4 modules.
Nikhil Cherian, senior director of Google's supply chain infrastructure, disclosed at a summit forum that the AI industry has rapidly shifted from being compute-constrained to memory-constrained.
The report does not provide details about the specific servers involved, the number of reused modules, or the performance of the new AI systems. It describes Google's apparent reuse of components from retired equipment as a response to ongoing memory-supply constraints.
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