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[D] Will Google’s TurboQuant algorithm hurt AI demand for memory chips? [D]
This r/MachineLearning discussion centers on Google's TurboQuant, a training-free KV cache compression algorithm released in March 2026 that compresses cache storage from 16 bits down to 3 bits with m
This r/MachineLearning discussion centers on Google's TurboQuant, a training-free KV cache compression algorithm released in March 2026 that compresses cache storage from 16 bits down to 3 bits with minimal accuracy loss, achieving roughly a 5–6x reduction in memory footprint and an 8x performance boost in computing attention on NVIDIA H100 GPUs. The thread likely debates the market implications of the announcement, as shares of SK Hynix and Samsung fell 6% and nearly 5% respectively, Kioxia dropped nearly 6%, and Micron and Sandisk also declined , driven by investor fears that TurboQuant could reduce demand for AI memory chips. However, analysts remain divided, with some arguing that TurboQuant could lead to efficiency gains during inference but wouldn't necessarily solve wider RAM shortages, since it only targets inference memory and not training, which continues to require massive amounts of RAM
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Source: r/MachineLearning | 2026-04-12