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In a panel session to the change from WAN to AI-Increased methods, Rajarshi Purkayastha, vp of buyer tactic and presales at Tata Communications, famous that GPUs and AI workloads have incredibly substantial bandwidth requirements, typically during the number of numerous terabits for each next. Connecting these workloads throughout a standard WAN is not really possible or cost-efficient.
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should you’ve been paying attention, Then you definately realize that the modify is coming and very little will stop it.
How are hardware improvements and algorithm optimisations chopping fees though keeping the functionality of gen AI?
What workload management strategies ideal optimise instruction costs with no compromising model efficiency in generation?
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