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

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

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

The algorithm achieves up to an eight-times performance boost over unquantized keys on Nvidia H100 GPUs.

SIEVE is a new approach to web caching that's simpler and more effective than today's state-of-the-art algorithms, its creators claim — and big tech companies are taking notice. When you purchase ...