
Architecture of Computing Power Optical Network
This architecture combines the computing power network with the optical network to realize the collaborative linkage between edge
Optical modules are optoelectronic devices that convert electrical signals from servers or switches into optical signals for high-speed fiber communication, and vice versa, enabling long-distance or high-bandwidth data transfer . They are installed between servers and network nodes, typically via standard interfaces such as SFP, QSFP, QSFP-DD, and OSFP . In AI and GPU cluster environments, optical modules connect servers to switches and storage systems, ensuring bottleneck-free communication and supporting real-time multi-GPU data interaction . Modules vary by transmission distance, speed, and protocol compliance, including InfiniBand, RoCE, and Ethernet standards .
Co-packaged optics integrate optical engines directly onto or near the switch ASIC, reducing the electrical path from centimeters to millimeters . This design lowers power consumption, improves signal integrity, and supports ultra-high bandwidths, such as 400G per lane and beyond, which is essential for AI-scale networks . Companies like NVIDIA and Marvell are deploying CPO in AI accelerators and switches to achieve higher bandwidth, lower latency, and improved resiliency . CPO represents a shift from traditional pluggable transceivers to tightly integrated, high-performance optical interconnects.
High-performance servers, especially those hosting dense GPU clusters, generate significant heat, often exceeding 400W per rack unit due to multiple optical modules and compute components . Traditional air cooling becomes insufficient, leading to throttling, errors, and reduced lifespan of components. Liquid cooling solutions, including patented cold plates and ultrasonic welding techniques, provide efficient heat dissipation, maintain stable operating temperatures, and reduce power usage effectiveness (PUE), enabling higher server density and ROI . These solutions are compatible with existing server architectures and can be customized for different optical module layouts.
When deploying optical modules in servers, key factors include:
In modern AI and high-performance computing environments, optical modules and server design are tightly coupled. Optical modules provide the high-speed interconnects necessary for GPU clusters and distributed computing, while advanced server architectures and liquid cooling solutions ensure stable, efficient, and scalable computing power. Co-packaged optics further enhance performance by integrating photonics directly with ASICs, reducing latency and power consumption, and enabling the next generation of AI-scale data centers .

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