As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.

Detailed Platform Analysis in RightMark Memory Analyzer. Part 12: VIA C7/C7-M Processors 4838 文章 ...

When shopping for a new CPU, you're likely to come across many different CPU specifications, such as cores, clock speed, TDP, ...

Last time we talked about how the original PC has a limit of 640 kB for your programs and 1 MB in total. But of course those restrictions chafed. People demanded more memory, and there were ...

Let the era of 3D V-Cache in HPC begin. Inspired by the idea of AMD’s “Milan-X” Epyc 7003 processors with their 3D V-Cache stacked L3 cache memory and then propelled by actual benchmark tests pitting ...

Cache memory significantly reduces time and power consumption for memory access in systems-on-chip. Technologies like AMBA protocols facilitate cache coherence and efficient data management across CPU ...

Tesla indicated in August, 2023 they were activating 10,000 Nvidia H100 cluster and over 200 Petabytes of hot cache (NVMe) storage. This memory is used to train the FSD AI on the massive amount of ...

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 ...

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 ...