KV-CACHE

30 days · UTC

LIVE_DATA_STREAM // APRIL_14_2026

Synchronizing with global intelligence nodes...

DENSITY_RATIO: MAX

KV-CACHE COMPRESSION UPENDS LLM SERVING ECONOMICS: 6X MEMORY CUT, NO RETRAIN

Google’s TurboQuant claims 6x KV‑cache compression for LLM inference with no retraining, turning memory‑bound GPUs into higher‑concurrency servers. A...

GOOGLE

MAR_27 // 07:34

Google’s TurboQuant promises 6x KV cache memory cuts and 8x attention speedups; mind the quantization outliers

Google proposed TurboQuant to compress KV caches and speed vector search, reporting big H100 wins with no accuracy drop. Per Google’s claims, TurboQu...

GOOGLE-RESEARCH

MAR_26 // 07:33

Google’s TurboQuant targets 6x smaller KV caches and faster LLM serving without quality loss

Google Research unveiled TurboQuant, a KV‑cache compression method claiming up to 6x lower memory and up to 8x speed gains without hurting output qual...

GOOGLE

MAR_25 // 07:32

Google donates llm-d LLM inference gateway to CNCF Sandbox

Google open-sourced llm-d, a Kubernetes-native LLM inference gateway, into the CNCF Sandbox with backing from IBM, Red Hat, NVIDIA, and Anyscale. llm...