QUANTIZATION

30 days · UTC

LIVE_DATA_STREAM // APRIL_14_2026

Synchronizing with global intelligence nodes...

DENSITY_RATIO: MAX

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...

VECTOR-SEARCH

MAR_13 // 07:34

Cut vector DB cost ~80% with Matryoshka embeddings + quantization

A new deep dive shows you can slash vector DB memory and cost by about 80% using Matryoshka embeddings plus int8/binary quantization without cratering...

LLAMA-CPP

DEC_25 // 06:30

On-device LLMs: running models on your phone

A hands-on guide shows how to deploy and run a compact LLM directly on a smartphone, outlining preparation of a small model, on-device runtime setup, ...