Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in which the probabilities of tokens occurring in a specific order is ...

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

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 ...

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

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 ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...