Hackaday

TurboQuant: Reducing LLM Memory Usage With Vector Quantization

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are effectively massive vector spaces in ...
Macworld

Apple’s chip ‘binning’ explained: What the heck does it mean?

Macworld explains that chip binning is Apple’s practice of disabling faulty cores in processors to create different ...
Wall Street Journal

The 2,000-Year-Old Cement Battery That Could Reduce Our Reliance on Fossil Fuel

Adding water to Cache Energy’s cement pellets causes a chemical reaction that releases heat. The reaction is reversible, allowing the system to store heat as well. CACHE ENERGY More than two millennia ...
winbuzzer.com

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

Google unveils TurboQuant, a new AI memory compression algorithm — and yes, the internet is calling it ‘Pied Piper’

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

Google Announces TurboQuant, A New Compression Algorithm That Reduces LLM Memory Requirements By 6x And Increases Speed by 8x

Even as AI progress is surprising one and all, companies are coming up with ever more improvements which could accelerate things even ...
Ars Technica

Google’s TurboQuant AI-compression algorithm can reduce LLM memory usage by 6x

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...
IEEE

Asymmetric KV Cache Compression using State-Aware Sparsity and Quantization

Abstract: To enable the efficient deployment of Large Language Models (LLMs) on resource-constrained devices, recent studies have explored Key-Value (KV) Cache compression, such as quantization and ...
SDxCentral

TurboQuant: Did Google just drop a compression algorithm capable of stemming RAMageddon?

AI has a growing memory problem. 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 ...
Wall Street Journal

An Ally’s Guide to Understanding Trump

President Trump this week complained that America’s allies hadn’t stepped up to help break the Iranian blockade of the Strait of Hormuz. “Some are very enthusiastic about it, and some aren’t,” he said ...
VentureBeat

Nvidia says it can shrink LLM memory 20x without changing model weights

Nvidia researchers have introduced a new technique that dramatically reduces how much memory large language models need to track conversation history — by as much as 20x — without modifying the model ...
ZDNet

How to clear your MacBook cache (and why it'll do wonders for performance)

I wore the world's first HDR10 smart glasses TCL's new E Ink tablet beats the Remarkable and Kindle Anker's new charger is one of the most unique I've ever seen Best laptop cooling pads Best flip ...