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 ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

With people on the internet insisting that M1 Macs run well with minimal RAM (and the standard configs being minimal), I was wondering if anyone has a detailed explanation on how memory compression on ...

One student’s desire to get out of a final exam led to the ubiquitous algorithm that shrinks data without sacrificing information. With more than 9 billion gigabytes of information traveling the ...

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

AI is only the latest and hungriest market for high-performance computing, and system architects are working around the clock to wring every drop of performance out of every watt. Swedish startup ...

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

A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...