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Part 1: The End of Copper: Why AI is Moving to Light
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104 观看21:57wwalker6408原视频发布: 2026-05-13

The AI revolution faces a fundamental physical bottleneck because copper interconnects, the standard material connecting thousands of GPUs in data centers, cannot transfer data fast enough to meet growing computational demands. Copper's inherent physical speed limits cause severe signal degradation and generate excessive heat that can damage server racks, creating a hardware limitation that software optimization cannot overcome. To break this bottleneck, engineers are transitioning to Co-Packaged Optics (CPO), which embeds optical glass fiber directly into the chip-to-chip signaling architecture, enabling massive volumes of instantaneous data transfer by eliminating the distance data must travel before converting to light. This shift is driving a new industrial demand for high-performance glass as NVIDIA deploys this technology across its next-generation rack-scale AI designs.

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