Inference is reshaping data center architecture, introducing a new and less forgiving set of network requirements.

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

We have written in the past about the uses of memory and storage in data movement and in AI applications. This piece will talk about digital distribution technology and the role of content caching ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

A Cache-Only Memory Architecture design (COMA) may be a sort of Cache-Coherent Non-Uniform Memory Access (CC- NUMA) design. not like in a very typical CC-NUMA design, in a COMA, each shared-memory ...

Magneto-resistive random access memory (MRAM) is a non-volatile memory technology that relies on the (relative) magnetization state of two ferromagnetic layers to store binary information. Throughout ...

In a computer, the entire memory can be separated into different levels based on access time and capacity. Figure 1 shows different levels in the memory hierarchy. Smaller and faster memories are kept ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...