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Many enterprises focus on computing power and networking when rolling out AI projects. But they may be overlooking the bigger picture of their needs for massive storage.
The next-gen technology is still years away, but 6G wireless could enable futuristic high-bandwidth, low-latency applications.
The GPU is the mainstay of AI processing, but several companies think they have a better option.
Sustainability efforts and high-density AI-based applications are sparking new and revamped approaches to data center cooling.
Rising workloads, tougher sustainability regulations, and cost pressures will increasingly squeeze data center operators in 2024 and force tradeoffs between business expansion and infrastructure reliability.
Enterprises are moving to a distributed data center model for real-time processing at the edge.
Arista’s core EOS and CloudVision software, along with its 400G and 800G switches, are its mainstays in the competitive networking equipment market, which stands to gain as Ethernet adoption in AI networks picks up pace.
What makes these 10 vendors of network gear the biggest power players? They’re stalwarts of LAN and WAN infrastructure, delivering network-centric security technologies and shaping the future of AI networking.
GPU juggernaut Nvidia has staked out a dominant position in data center AI with a portfolio that spans chips, software and services and a strategically assembled partner ecosystem.
NVIDIA's supercomputer in the cloud delivers full-stack AI development platform
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