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 which the probabilities of tokens occurring in a specific order is ...

New Rowhammer attacks give complete control of machines running Nvidia GPUs

A separate mitigation is to enable Error Correcting Codes (ECC) on the GPU, something Nvidia allows to be done using a ...
CIO

How Kubernetes is finally solving the GPU utilization crisis to save your AI budget

Kubernetes wasn't built for GPUs, but new tools like Kueue and MIG are finally helping companies stop wasting money on ...
24/7 Wall St.

Sandisk Falls 8%, Micron Drops 5%: Are Analysts Right to Stay Bullish on Memory Stocks?

Sandisk (NASDAQ:SNDK) stock is down 8% in Thursday trading, with shares falling to around $623. Meanwhile, Micron Technology ...
Forbes

Google’s TurboQuant Compression Could Increase Demand For AI Memory

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. On March 24, 2026 Amir Zandieh and Vahab Mirrokni from Google Research published an article ...
The Verge

Google’s TurboQuant algorithm aims to slash AI memory usage.

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...
CNBC

A Google AI breakthrough is pressuring memory chip stocks from Samsung to Micron

Google said this week that its research on a new compression method could reduce the amount of memory required to run large language models by six times. SK Hynix, Samsung and Micron shares fell as ...
EconoTimes

Google's TurboQuant Algorithm Sends Memory Chip Stocks Tumbling

Major memory chipmakers took a significant hit on Thursday after Google researchers introduced a groundbreaking compression algorithm that threatens to reduce artificial intelligence demand for memory ...
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 ...
The Next Web

Google’s new compression algorithm cut memory stocks within hours of publication

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...
TechCrunch

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

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...
Seeking Alpha

Google reveals algorithms to address AI memory challenges; memory and storage stocks drop

Google (GOOG)(GOOGL) revealed a set of new algorithms today designed to reduce the amount of memory needed to run large language models and vector search engines. The algorithms introduced by Google ...