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

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

Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

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

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

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

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

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 ...

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 ...