Nvidia said it chose AMD's latest EPYC server processors over Intel Xeon for the chipmaker's new DGX A100 deep learning system because it needed to squeeze as much juice as possible from its new ...

That one didn't have a Nvidia Arm CPU and needed separate PCIe AI accelerators (A100); the 2025 iteration ... Nvidia also disclosed the DGX Station will use its proprietary ConnectX-8 SuperNIC ...

With 16,000 GPUs to support its ‘metaverse’ aspirations, Meta’s new AI Research SuperCluster will consist of 2,000 Nvidia DGX A100 systems, which will make it the ‘largest customer ...