[D] Will Google’s TurboQuant algorithm hurt AI demand for memory chips? [D]

Google’s TurboQuant claims to compress the KV cache by up to 6x with ‘little apparent loss in accuracy’ by reconstructing it on the fly. For those who have looked into similar KV cache compression techniques, is a 6x reduction without noticeable degradation realistic, or is this likely highly use-case dependent?

If TurboQuant actually reduces the cost per token by 4-8x, what does this mean for local deployment? Are we looking at a near future where we can run models with massive context windows locally without needing a multi-GPU setup?