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

What is Google TurboQuant, how does it work, what results has it delivered, and why does it matter? A deep look at TurboQuant, PolarQuant, QJL, KV cache compression, and AI performance.

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

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

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 ...

Building on the existing AMD Ryzen 9 9950X3D, the new chip introduces a dual 3D V-Cache design, meaning both core chiplets (CCDs) now get stacked cache instead of just one. The re ...

Micron stock slipped after Google’s memory-saving AI tool has raised demand worries. Is this sustained pressure or a buying opportunity?

With SRAM failing to scale in recent process nodes, the industry must assess its impact on all forms of computing. There are ...

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

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

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

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters ...