This guide explores key technical features for GPU clusters, examines spine-leaf architectures for distributed AI applications, and evaluates whether QSFP-DD or OSFP is better suited for future AI data centers. Planning AI cluster networking?QSFP-DD LPO TRANSCEIVER DESIGNED FOR PCIE® GEN 5. 0 DATA RATES Amphenol's QSFP-DD Linear Pluggable Optical (LPO) Transceiver delivers low-latency, high-bandwidth PCIe ® Gen 5. 0 over optical link, enabling scalable server disaggregation and efficient rack-to-rack interconnects ideal for AI/ML and. While 100G remains the workhorse for enterprise edges, the core data center has rapidly migrated to 400G (QSFP-DD) and is actively piloting 800G deployments. With its compact form factor, backward. AI workloads push network architectures to their limits, with traffic patterns shifting from traditional north-south flows to highly intensive east-west communication between compute nodes. It is being developed by the QSFP-DD MSA as a key part of the industry's effort to enable high-speed solutions.
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