Functions of Ethernet Cables in AI Industry

Functions of Ethernet Cables in AI Industry

High-performance Cat6A/Cat7/Cat8 & DAC copper cables act as the physical neural backbone of AI computing clusters, supporting large model training and AI inference data transmission.
Interconnection of GPU & AI Accelerators
Short-range DAC & shielded Cat7/Cat8 connect GB200/MI300X GPUs with top-of-rack switches, enabling lossless RDMA data exchange for gradient & weight synchronization during LLM training, drastically cutting training latency.
High-volume Dataset Transmission
Link storage servers and compute nodes to rapidly feed PB-level training data (image, audio, text) to GPUs and prevent GPU idle waste.
Cloud & Edge AI Inference Networking
Cloud AI: Cables interconnect inference servers for low-latency Chatbot/AIGC result feedback;
Edge AI: Industrial shielded cables connect AI edge boxes with industrial cameras & sensors for real-time visual recognition calculation.
Cluster Maintenance & Remote Upgrade
Support batch OTA firmware upgrade and real-time monitoring of GPU temperature, power consumption & operational faults across entire AI clusters.
Difference from Household LAN Cables
AI cables adopt double-shielded S/FTP structure for 10G~800G high speed and strong anti-EMI capacity; home Cat5e/Cat6 are mostly unshielded UTP only for gigabit indoor network.