How will AI impact network infrastructure and topology?
Colin Bannon, CTO from BT Business and Roy Chua, Principal and Founder from AvidThink discuss:
– AI workloads are becoming more latency-sensitive, driving inference processing closer to the edge and deeper into the network
– The industry needs to focus on understanding AI use cases and their implications on network architecture
– Network remains a crucial prerequisite for AI functionality, with potential new engineering solutions needed to meet evolving demands
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