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

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

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

Memory stocks declined Wednesday as investors reacted to Google’s announcement of TurboQuant, a new compression algorithm ...

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

The Google Research team developed TurboQuant to tackle bottlenecks in AI systems by using "extreme compression".

Memory stocks fell Wednesday despite broader technology sector strength, with shares dropping after Google unveiled TurboQuant, a new compression algorithm that could reduce memory requirements for AI ...

Google thinks it's found the answer, and it doesn't require more or better hardware. Originally detailed in an April 2025 paper, TurboQuant is an advanced compression algorithm that’s going viral over ...

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...

Google's TurboQuant reduces the KV cache of large language models to 3 bits. Accuracy is said to remain, speed to multiply.

Google said TurboQuant is designed to improve how data is stored in key-value cache, which helps systems run more efficiently ...

Micron Technology (NASDAQ:MU | MU Price Prediction) shares retreated as much as 5% in early Wednesday trading, extending a ...