Google's TurboQuant solves half the AI memory problem. Here's the other half.
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This week Google Research published TurboQuant — a two-stage KV-cache quantization algorithm that achieves 6x memory reduction and 8x attention speedup with zero accuracy loss at 3 bits. No training required. It's genuinely impressive engineering. But it's worth being precise about what problem it solves. The two AI memory problems Most people conflate two distinct problems: Problem A: memory within a session As context grows, the KV-cache grows. It becomes expensive in RAM and slo