Micron is positioned for structural AI-driven memory demand, supported by multi-year strategic customer agreements that ...

Whether it's riding a bike or knitting a sweater, there are some tasks you do without thinking. These are commonly associated ...

At its core, the TurboQuant algorithm minimizes the space required to store memory while also preserving model accuracy. To ...

A team of engineers has created a breakthrough memory device that keeps working at temperatures hotter than molten lava, ...

Google Research's TurboQuant memory-compression algorithm has raised concerns that demand for AI-related memory could weaken, ...

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...

Major memory chipmakers took a significant hit on Thursday after Google researchers introduced a groundbreaking compression algorithm that threatens to reduce artificial intelligence demand for memory ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

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 ...

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...

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 ...