Compression reduces bandwidth and storage requirements by removing redundancy and irrelevancy. Redundancy occurs when data is sent when it’s not needed. Irrelevancy frequently occurs in audio and ...

Bernstein upgraded Western Digital to Outperform from Market Perform, hiking its price target to $340 from $170, arguing that a sharp pullback driven by fears over Google’s new TurboQuant compression ...

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

Google Quantum just cut the qubit requirement to break Bitcoin encryption by 20x, and 6.7 million crypto addresses are in risk.

DDR5 RAM prices are finally dropping after months of inflation, according to Wccftech. Consumers and hardware manufacturers ...

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

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

Google's new TurboQuant algorithm drastically cuts AI model memory needs, impacting memory chip stocks like SK Hynix and Kioxia. This innovation targets the AI's 'memory' cache, compressing it ...

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...

Google has unveiled a new AI memory compression technology called TurboQuant, and the announcement has already had a ...

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

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