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 ...
IEEE

Reinforcement Learning-Based Cache Replacement Policies for Multicore Processors

Abstract: High-performance computing (HPC) systems need to handle ever-increasing data sizes for fast processing and quick response times. However, modern processors’ caches are unable to handle ...
Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...