I have written in March about Google’s TurboQuant for compressing data in memory for AI applications, focusing on data center applications. In that article, I said that TurboQuant is a compression ...

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.

Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on during inference. In a preprint, the team reports up to six times lower KV ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

For some computing components, the bottleneck to improved speed and performance hasn’t been power consumption or clock speed but physical space. But a new memory standard may provide all of the power ...

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 ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. I have written in March about Google’s TurboQuant for compressing data in memory for AI ...