Google recently unveiled a technology that could fundamentally change how artificial intelligence (AI) models use memory.

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

Seagate Technology Holdings plc is downgraded to hold due to near-term risks from energy prices & potential AI CapEx ...

Bernstein upgrades Western Digital and raises targets on Seagate and Sandisk after Google's TurboQuant algorithm sparked a ...

Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.

Alphabet ( GOOGL 0.57%) ( GOOG 0.15%) has already proven itself to be one of the most innovative companies in the area of ...

Sandisk stock fell ~7% after Google TurboQuant, but compression applies only to KV cache, not total storage demand. Learn why SNDK stock is upgraded to strong buy.

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

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

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