Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

A paper from Google could make local LLMs even easier to run.

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

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

A processor cache is an area of high-speed memory that stores information near the processor. This helps make the processing of common instructions efficient and therefore speeds up computation time.

Modern multicore systems demand sophisticated strategies to manage shared cache resources. As multiple cores execute diverse workloads concurrently, cache interference can lead to significant ...

Multiple PC OEMs are selling laptops outfitted with Intel Optane cache drives -- but they're improperly combining that information in ways that makes it seem as if the Optane cache drive represents ...

The year so far has been filled with news of Spectre and Meltdown. These exploits take advantage of features like speculative execution, and memory access timing. What they have in common is the fact ...

The past decade or so has seen some really phenomenal capacity growth and similarly remarkable software technology in support of distributed-memory systems. When work can be spread out across a lot of ...