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

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...

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

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

This project is a software emulator for the Panasonic RR-DR60, a legendary digital voice recorder from the late 1990s. The emulator processes input audio files (such as MP3, WAV, FLAC, and others) and ...

Abstract: Data Compression is a staple of data processing and storage. Sending and storing data more efficiently is an open challenge in the Internet-of-Things (IoT), with devices typically ...

Multiple reports show the data centers used to store, train and operate AI models use significant amounts of energy and water, with a rippling impact on the environment and public health. According to ...

File - In this Tuesday, Oct. 5, 2021, photo, a woman stands at her well at her property on the outskirts of The Dalles, Oregon. She said the water table that her well draws from dropped 15 feet in the ...

Water consumption by data centers and cryptomining facilities will be the focus of a new data-collection effort launched Friday by the Texas Public Utility Commission. Demand to build new data centers ...

The Trump administration’s move to give deportation officials access to Medicaid data is putting hospitals and states in a bind as they weigh whether to alert immigrant patients that their personal ...