Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.
Microsoft once tried to reduce Windows RAM usage by 20 percent but failed. Now Windows 11 may finally fix memory issues in ...
Dare we say it, but Microsoft seems to be reading the room.
The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
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.” [ ...
SEOUL, South Korea, March 5, 2026 /PRNewswire/ -- Nota AI, an AI optimization technology company behind the Nota AI brand, announced that it has developed a next-generation quantization technology ...
Nota AI successfully reduced Solar's memory usage from 191.2GB to 51.9GB, representing a 72.8% reduction. At the same time, the model maintained performance levels comparable to the original version, ...