Google unveils TurboQuant to reduce AI model memory usage

Google introduces TurboQuant, a compression method that reduces memory usage and increases speed ...

The Five Trends Driving Memory To The Forefront Of AI Scaling

Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Geeky Gadgets

AI Memory Hacks: Boosting AI Model Performance with Context

In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...
VentureBeat

Meta proposes new scalable memory layers that improve knowledge, reduce hallucinations

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more As enterprises continue to adopt large ...
Science Daily

New optical memory unit poised to improve processing speed and efficiency

Researchers have developed a new type of optical memory called a programmable photonic latch that is fast and scalable, enabling temporary data storage in optical processing systems and offering a ...