TurboQuant cuts KV-cache needs by at least 6x for HBM/DRAM during AI inference, but it does not reduce persistent SSD storage demand. Therefore, Sandisk Corporation’s NAND thesis remains intact. The ...
Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...
Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...
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