Google's TurboQuant algorithm can cut AI memory needs by 6x, having the potential to fix the global RAM crisis and change the ...

Stock prices for the big three memory makers have already slid.

Memory stocks such as Micron Technology Inc. MU and Sandisk Corp. SDNK were the consensus AI trade of 2026 — the most direct ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

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.” [ ...

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

Shares of memory chip makers fell Wednesday after Google unveiled a compression technology that could reduce memory requirements for artificial intelligence systems. Google's TurboQuant algorithm ...

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

Google said TurboQuant is designed to improve how data is stored in key-value cache, which helps systems run more efficiently ...

Google, which has been at the forefront of artificial intelligence (AI) innovation, has presented a solution to the ongoing ...