AI workloads require enormous bandwidth between training environments, inference endpoints, and data sources, often pushing the limits of existing interconnection infrastructure. The trend is toward higher-capacity connections (400 Gbps and beyond), more direct paths between specific AI ecosystem partners, and specialized interconnection patterns for model training and serving. Standard interconnection designs do not always meet these workloads’ needs.
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