AI workloads require enormous bandwidth between training environments, inference endpoints, and data sources, often pushing the limits of existing infrastructure. The trends are toward higher-capacity connections, more direct paths between AI ecosystem partners, and specialized interconnection patterns for AI training clusters. Standard interconnection designs do not always meet these workloads’ needs.
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