Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating ...

Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x while boosting performance, targeting one of AI's most persistent ...

Make AI work smarter, not harder.

Google has unveiled a new memory-optimization algorithm for AI inferencing that researchers claim could reduce the amount of "working memory" an AI model requires by at least 6x. As TechCrunch reports ...

Google has unveiled TurboQuant, a new AI compression algorithm that can reduce the RAM requirements for large language models by 6x. By optimizing how AI stores data through a method called ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...

[Digital Today Kyung-min Hong (홍경민), intern reporter] Google has unveiled TurboQuant, a new compression algorithm that can cut memory use and increase speed for large language models (LLMs). On March ...