Sometimes, when datacenter computing does a paradigm shift, things get cheaper, like the move to RISC/Unix systems in the 1990s, and then to X86 systems ...

Jayshree Ullal, the chief executive officer of Arista Networks, has been pointing at the $10 billion revenue upper decks since the beginning of the AI ...

Being in the high performance computing business, as AMD most definitely is, has its ups and downs. Choppiness of revenues and profits was a way of life for Cray and Silicon Graphics as well as for ...

The accelerating expansion of AI workloads also plays a role, with the service featuring petabyte-scale AI and analytics that allows users to run such jobs over a long time on streaming data running ...

HPC storage systems are expensive, but so are the people who maintain and operate them, and the costs of both and downtime and outages have often been overlooked in the past.

The CXL 2.0 specification, which brings memory pooling across the PCI-Express 5.0 peripheral interconnect, will soon available on CPU engines. Which is great. But all eyes are already turning to the ...

Last fall, supercomputer maker Cray announced that it was getting back to making high performance cluster interconnects after a six year hiatus, but the company had already been working on its ...

With AMD not having a four-socket or eight-socket server platform and this part of the Xeon SP line needing a refresh, Intel created a bridge platform, called “Cedar Island,” that could take the ...

Everybody knows that companies, particularly hyperscalers and cloud builders but now increasingly enterprises hoping to leverage generative AI, are spending giant round bales of money on AI ...

Intel’s second quarter is pretty much a carbon copy of the first three months of 2024 when it comes to revenues across its newly constituted groups, and ...

Google designed the TPU2 specifically to accelerate focused deep learning workloads behind its core consumer-facing software such as search, maps, voice recognition and research projects such as ...

When you have 54.2 billion transistors to play with, you can pack a lot of different functionality into a computing device, and this is precisely what Nvidia has done with vigor and enthusiasm with ...