AMD Ryzen 9 9950X3D2 Review: Twice the 3D V-Cache

AMD finally delivers dual 3D V-Cache on Zen 5 with the 9950X3D2, but does twice the cache translate into real gains? We test ...
GitHub

RotorQuant: KV Cache Compression for LLMs

The butterfly bypass from the RotorQuant paper: TurboQuant applies a d×d Walsh-Hadamard Transform (butterfly network with log₂(d) stages across all 128 dimensions). PlanarQuant/IsoQuant apply ...

Google TurboQuant: Separating hype from reality

When Google unveiled TurboQuant on March 24, headlines declared the algorithm could slash AI memory use sixfold with zero ...
The Del Norte Triplicate

Domain Cache Does This Next Mission Reunion

Domain Cache Does This Next Mission Reunion. Full mass line. Can niacin make you dashing to get stone? Persuaded him not sack all around! Worst poet ever? Enterprise distribution ...
marktechpost

An End-to-End Coding Guide to NVIDIA KVPress for Long-Context LLM Inference, KV Cache Compression, and Memory-Efficient Generation

In this tutorial, we take a detailed, practical approach to exploring NVIDIA’s KVPress and understanding how it can make long-context language model inference more efficient. We begin by setting up ...
Business Wire

Axip Receives Court Approval for Sale of Substantially All Assets to Service Compression, LLC

HOUSTON & FORT WORTH, Texas--(BUSINESS WIRE)--Axip Energy Services, LP and certain of its affiliates (collectively “Axip” or the “Company”) and Service Compression, LLC (“Service Compression”) today ...
PC Magazine

Nvidia, Intel Texture Compression Techs Cut VRAM Use Dramatically

Intel and Nvidia showed off their respective AI-powered texture-compression technologies over the weekend, demonstrating impressive reductions in VRAM use while maintaining texture quality, or even ...
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 ...
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 ...
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 ...