AI training performance heavily depends on the underlying network physical layer performance, as training involves sequential computation and communication phases that must be fully completed before moving to the next one. For many data centers, future infrastructure upgrades are necessary to keep pace with the growth of AI models and the services they provide.
As the network grows from one to multiple clusters, scaling and maintaining the network becomes challenging when direct point-to-point connections are used. This is where structured cabling can play an important role since its modular characteristics facilitate deployment, documentation, future upgrades and network scaling, while simplifying maintenance and cable management.
This whitepaper by Panduit will also examine concerns regarding latency, reliability, and physical layer performance.
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