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Breaking the Memory Wall: TurboQuant KV Cache Quantization on Apple Silicon
Latest  Machine Learning

Breaking the Memory Wall: TurboQuant KV Cache Quantization on Apple Silicon

Algomaster
19 likes
April 9, 2026

Author(s): Algomaster Originally published on Towards AI. Implementing Google Research’s TurboQuant algorithm on MLX- for 5× KV cache compression confirmed, quality benchmarks coming in Part 2 Local LLMs on Apple Silicon face one hard constraint: unified memory is finite. A 26B parameter …

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