The overwhelming contributor to energy consumption in AI processors is not arithmetic; it’s the movement of data.

Following Microsoft Azure's self-developed ARM processor Cobalt 100, the 50 percent more powerful Cobalt 200 with 132 cores ...

The air-cooled offering features high-core-count CPUs, large cache sizes, and support for CXL memory expansion, and will sit ...

Xen 4.21 takes a major step towards modernized virtualization, offering greater maintainability across industries and ...

When a cache of Iron Age metalwork emerged from Swedish soil, it did more than add a few glittering artifacts to museum ...

The Xen Project today delivered a major release of its hypervisor and associated tools, including contributions from ...

Nvidia's move to use smartphone-style memory chips in its artificial intelligence servers could cause server-memory prices to ...

Nvidia's (NVDA)  plan to use smartphone-style memory chips in its AI servers could cause server-memory prices to double by ...

The global memory market is once again nearing an inflection point. With AI workloads spreading across end devices, DRAM has ...

Counterpoint warns that DDR5 RDIMM costs may surge 100% amid manufacturers’ pivot to AI chips and Nvidia’s memory-intensive ...

Nvidia's move to use smartphone-style memory chips in its artificial intelligence servers could cause server-memory prices to ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...