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

Bruno Couriol — Wed, 15 Apr 2026 16:53:00 GMT

Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches by up to 6x. With 3.5-bit compression, near-zero accuracy loss, and no retraining needed, it allows developers to run massive context windows on significantly more modest hardware than previously required. Early community benchmarks confirm significant efficiency gains.

By Bruno Couriol

Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization

Leela Kumili — Wed, 08 Apr 2026 14:20:00 GMT

Cloudflare and ETH Zurich highlight how AI-driven crawler traffic challenges traditional caching in CDNs and databases. They propose AI-aware strategies including separate cache tiers, adaptive algorithms, and pay-per-crawl models to balance performance for human users and AI services while maintaining cache efficiency and system stability.

By Leela Kumili

InfoQ - Performance - News

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

Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization