SK Hynix, Samsung and Micron shares fell as investors fear fewer memory chips may be required in the future.

Google has unveiled a new AI memory compression technology called TurboQuant, and the announcement has already had a ...

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

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...

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

Until now, compression algorithms such as the Lempel-Ziv-Welch (LZW) have been implemented in software. This provided acceptable compression performance in many older systems. But with today's ...

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.

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 ...

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 ...