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 ...

TurboQuant is aimed at reducing the size of the key-value cache, which Google likens to a “digital cheat sheet” that stores ...

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

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 ...

Memory stocks declined Wednesday as investors reacted to Google’s announcement of TurboQuant, a new compression algorithm designed to reduce memory requirements for AI systems, even as the broader ...

Broadcom is padding post-quantum security with its Emulex SecureHBA adapters now integrated into Everpure’s FlashArray ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a fundamental challenge: how to learn from data without compromising privacy ...

Forget the parameter race. Google's TurboQuant research compresses AI memory by 6x with zero accuracy loss. It's not available yet, but it points to where AI efficiency is headed.

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Researchers at Argonne National Laboratory and SLAC have designed a detector chip that compresses X-ray data by factors of 100 to 250 in real time, directly on the silicon that captures each frame.

Videos travel the internet constantly. Every social platform, messaging app, and website depends on them. Yet many people only notice a problem when a file refuses to upload or takes hours to send.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...