Alphabet's Google has unveiled its KV cache quantization compression technology, TurboQuant, promising dramatic reductions in ...

Google researchers have proposed TurboQuant, a two-stage quantization method that, according to a recent arXiv preprint, can cut key-value cache memory by about 4x in their tests while reporting no ...

If you've spent any time running local LLMs, you've probably hit the same wall I have. You find the perfect model quantized to 4-bits, just small enough to fit in your GPU's context window. You then ...

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 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

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 ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the probabilities of tokens occurring in a specific order is encoded. Billions of ...

A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.

The internet is saying Google Research developed Pied Piper. Anyone familiar with the popular HBO series, Silicon Valley, will know the fictional company in the show develops an industry-leading ...