InfoQ

Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches ...
MUO on MSN

There's a hidden spec on SSDs that lets me pick the fastest every time

DRAM decides how your drive actually performs under pressure.
Tech Xplore

CacheMind turns chip tuning into a conversation, exposing hidden cache failures and lifting processor performance

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...
Semiconductor Engineering

Heterogeneous NPU Data Movement: What The Execution Flow Shows

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...
GitHub

Spring Boot multi-level cache starter

Microservices working with immutable cached entities under low latency requirements The goal is to not only reduce the number of calls to external service but also reduce the number of calls to Redis ...
TechCrunch

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
VentureBeat

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...