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.” ...

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 ...

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 ...

Google's TurboQuant can dramatically reduce AI memory usage. TurboQuant is a response to the spiraling cost of AI. A positive outcome is making AI more accessible by lowering inference costs. With the ...

Google offers an interesting real-world analogy to explain this process. The vector coordinates are like directions, so the traditional encoding might be “Go 3 blocks East, 4 blocks North.” But using ...

Alphabet (NASDAQ:GOOG | GOOG Price Prediction) continues to be an AI force, even as shares come in due to broader market fears and distaste for hefty CapEx. While it’s easy to start taking some ...

The stage is finally set in a way that favors Qualcomm's core competency. AI platforms may now need less memory, but with more affordable total computing potential now on the table, the need for data ...

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 ...

Google Research's TurboQuant memory-compression algorithm has raised concerns that demand for AI-related memory could weaken, but South Korean experts and analysts say the market reaction may be ...