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

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

Google's new TurboQuant algorithm could slash AI working memory by 6x, but don't expect it to fix the broader RAM shortage ...

The Google Play Store is home to all sorts of fancy apps and games. Need to seamlessly transfer files from your phone to your laptop wirelessly? You can use Pushbullet for that. Want an app to manage ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...

Hobby programmer here. I have a couple of non-critical questions that I can't find the answer to and can't personally figure out how they work. Hopefully someone could enlighten me. Both PS4 and XB1 ...

Many people have heard the term cache coherency without fully understanding the considerations in the context of system-on-chip (SoC) devices, especially those using a network-on-chip (NoC). To ...

Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...

Caching has long been one of the most successful and proven strategies for enhancing application performance and scalability. There are several caching mechanisms in .NET Core including in-memory ...