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 ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

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 ...

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.” ...

Shares of memory and storage-related companies, including Micron Technology Inc MU and SanDisk Corp SNDK, are trading lower on Wednesday. The move follows a technical announcement from Alphabet Inc's ...

Generative AI requires a ton of memory capacity. As models are trained on more and more information, accessing some of the training data or previous conversations requires a ton of memory capacity.

TurboQuant may help Google improve instant indexing, semantic search, and AI Overviews — changing how brands earn visibility. The release of TurboQuant will completely change how we think about AI and ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. I have written in March about Google’s TurboQuant for compressing data in memory for AI ...

Memory stocks bounced back today with the help of a bullish note. The research firm believes the threat from Google's TurboQuant will be neutralized by Jevons paradox. Sandisk will remain highly ...

Google sent shockwaves through a small corner of the artificial intelligence (AI) market when it released new research that could significantly impact certain chipmakers. The Alphabet (NASDAQ: GOOG) ...