CPO Gains Momentum as AI Networking Demands Higher Bandwidth

The rapid growth of artificial intelligence (AI), large language models (LLMs), and high-performance computing (HPC) is driving unprecedented bandwidth requirements in modern data centers. As AI clusters scale from thousands to millions of computing nodes, traditional optical interconnect architectures face increasing challenges in power consumption, signal integrity, and port density.

Co-Packaged Optics (CPO) is emerging as a revolutionary optical interconnect technology designed to overcome the limitations of conventional pluggable optical modules. By integrating optical engines closer to switching ASICs, CPO enables higher bandwidth density, lower power consumption, and improved signal performance for next-generation AI data center networks.

1. AI Networking Drives the Evolution of Optical Connectivity

AI workloads require massive data exchange between GPUs, accelerators, and storage systems. Distributed AI training and inference workloads generate extremely high east-west traffic, creating new requirements for network bandwidth and efficiency.

• 100G Optical Connectivity – Traditional data center networking

• 400G Optical Modules – Large-scale cloud infrastructure

• 800G Optical Modules – Current AI cluster deployment

• 1.6T Optical Connectivity – Next-generation AI fabric networks

As switch bandwidth continues increasing toward 51.2T and beyond, conventional pluggable optical modules face limitations in power consumption, thermal management, and electrical signal loss. CPO provides a new approach to solving these challenges.

2. What Is Co-Packaged Optics (CPO)?

Co-Packaged Optics (CPO) is an advanced optical networking technology that integrates optical engines directly with switching ASICs inside the same package.

Unlike traditional optical module architectures, CPO reduces the electrical transmission distance between the switch chip and optical interface, significantly improving signal performance and energy efficiency.

Traditional Optical Architecture:

Switch ASIC → Electrical Trace → Optical Module → Fiber

CPO Architecture:

Switch ASIC + Optical Engine → Fiber Interface

The main components of CPO include:

• Optical Engines

• Silicon Photonics Chips

• Photonic Integrated Circuits (PIC)

• Laser Sources

• High-Speed Electrical Interfaces

3. Why CPO Is Important for AI Data Centers

3.1 Lower Power Consumption

Power efficiency has become a critical factor for AI data centers. As optical speeds move toward 800G and 1.6T, electrical signal transmission consumes more energy due to increased SerDes complexity.

CPO reduces electrical connection distance and improves system efficiency by integrating optical components closer to the switching chip.

• Lower switch power consumption

• Improved thermal management

• Higher rack-level energy efficiency

3.2 Higher Bandwidth Density

AI clusters require extremely high-density networking. CPO enables more optical channels within limited space, allowing future data centers to achieve higher throughput with smaller physical footprints.

CPO is especially suitable for:

• AI GPU Clusters

• High Performance Computing (HPC)

• Hyperscale Cloud Data Centers

• Machine Learning Infrastructure

3.3 Improved Signal Integrity

At 800G and 1.6T speeds, signal loss becomes a major challenge. CPO improves high-speed transmission performance by shortening electrical paths and reducing insertion loss.

• Reduced electrical trace length

• Lower signal attenuation

• Improved SerDes performance

• Enhanced network reliability

4. CPO vs Traditional Pluggable Optical Modules

5. The Relationship Between CPO and Silicon Photonics

Silicon photonics is a key technology supporting future CPO development. By integrating optical components onto silicon platforms, silicon photonics provides higher integration capability and improved scalability.

• Higher optical integration density

• Smaller optical footprint

• Lower manufacturing complexity

• Support for 800G and 1.6T optical systems

The combination of CPO and silicon photonics will become an important foundation for future AI data center optical architectures.

6. CPO Application Scenarios

AI Data Centers

CPO provides high-bandwidth and low-latency connectivity for large-scale GPU clusters and AI computing networks.

Cloud Infrastructure

Hyperscale cloud providers can use CPO technology to build scalable networking systems with improved energy efficiency.

High Performance Computing

Scientific computing, simulation, and AI research require massive interconnect bandwidth, making CPO an attractive solution for future HPC systems.

7. Future Market Outlook of CPO Optical Connectivity

The transition from traditional optical modules to CPO will be a gradual evolution rather than an immediate replacement.

• Current Stage: 400G and 800G pluggable optical modules dominate AI networks.

• Medium Term: 800G/1.6T optical modules will coexist with early CPO deployments.

• Future Stage: CPO will become a key architecture for ultra-scale AI clusters.

8. C-LIGHT Optical Connectivity Solutions for AI Networks

As AI infrastructure moves toward higher bandwidth and greater integration, C-LIGHT provides advanced optical connectivity solutions designed for next-generation data center applications.

• 400G Optical Transceivers

• 800G Optical Modules

• 1.6T Optical Connectivity Solutions

• DAC / AOC / AEC High-Speed Interconnects

• Advanced Optical Networking Technologies

9. Conclusion

CPO is becoming a critical technology direction as AI networking demands higher bandwidth, lower power consumption, and increased connectivity density.

With the evolution from 800G to 1.6T optical connectivity, CPO combined with silicon photonics will play an increasingly important role in future AI data center architectures.

10.CPO Gains Momentum as AI Networking Demands Higher Bandwidth - Q&A