Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

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 ...

Recent industry trends, including the release of NVIDIA’s Rubin platform (developer.nvidia.com), point to a growing consensus that AI inference is reshaping data center architecture in a fundamental ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Note: The following post is a guest blog submitted to Microsoft Subnet by a security expert who wished to remain anonymous. Joanna Rutkowska recently released her new security whitepaper and exploit ...

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 ...

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 ...