Google’s TurboQuant reduces AI LLM cache memory capacity requirements by at least six times — up to 8x performance boost on Nvidia H100 GPUs, compresses KV cach
KV caches store previously computed attention data so that LLMs don’t have to recompute it at each token generation step. These caches are becoming major memory bottlenecks as context windows grow larger, and while tradi…









