The big picture: Google has developed three AI compression algorithms – TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss – designed to significantly reduce the memory footprint of large ...

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 ...

AI-driven demand is tightening global memory supply, pushing NAND flash and server DRAM into shortages, price hikes, and capacity constraints. Server memory demand is expected to grow more than 40% in ...

As foreigners post heavy net selling on the main board, the KOSPI is plunging more than 3%. Individuals and the national pension funds are net buying but failing to defend the index. In particular, ...

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.” ...

Forbes contributors publish independent expert analyses and insights. Tim Bajarin covers the tech industry’s impact on PC and CE markets. This voice experience is generated by AI. Learn more. This ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

A team of researchers led by California Institute of Technology computer scientist and mathematician Babak Hassibi says it has created a large language model that radically compresses its size without ...

Ben Dickson is a software engineer and the founder of TechTalks, a blog that explores the ways technology is solving and creating problems. He writes about technology, business and politics. Follow ...

Tim Bajarin is recognized as one of the leading industry consultant and analysts, covering the field of personal computers and consumer technology. Mr. Bajarin has been with Creative Strategies since ...