Building high performance fabrics with Ethernet

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Building high performance fabrics with Ethernet
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How Dell is helping its customers to be GenAI ready

The next time you ask generative AI to write a happy birthday email to your client or craft a bash script, spare a thought for what's happening behind the scenes.

"They are building large language models and running workloads which are training and fine tuning AI," he says. The second category is the large enterprise customer base"which leverage these trained models to power real-world business applications and run inferencing." "The other thing they appreciated was our supply chain and delivery excellence, which drives our ability to deliver technology in time, since speed and reliability in delivery are just as important as the technology itself." he says.Dell just demonstrated this with the launch of a new product that delivers on a recent major development in high-speed Ethernet. In February, the IEEE approved 802.3df, which defines 800Gb Ethernet.

This high port density enables the creation of large-scale AI clusters, supporting clusters of up to 8,000 GPUs in a two-tier Clos rail-optimized topology. Two-tier Clos uses two layers of switches; a spine layer, which uses high-capacity switches to form the network backbone, and a leaf layer, in which each of the switches connects to each of the spine switches in a mesh configuration. These leaf switches then talk directly to the servers and storage devices.

One such feature is dynamic load balancing, which distributes traffic across multiple paths by monitoring network conditions and adjusting traffic routes in real time. The PowerSwitch Z9864F-ON supports cell spray-based load balancing, which fragments packages into smaller cells at the ingress point, distributing these cells across links, and then reassembling them at the egress point.

This product enables admins to manage their AI network fabric from a single screen, offering several features to minimize their workload. These include templates to set up consistent network configurations, which will be especially useful for organizations that need to frequently set up and tear down training infrastructure.

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