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This article was first published in Photonic Integrated Circuits magazine.
The dominant challenge in modern AI infrastructure is not just the performance of a single accelerator but scaling up to thousands of accelerators (XPUs) in a cluster. Training and inference workloads now depend on an interconnect that can stitch these accelerators into a high-bandwidth, low-latency system, where performance is governed as much by the network as by the compute itself.
As these systems scale, physics asserts itself. Electrical links over copper hit a practical ceiling as routing density and channel loss collide, turning the loss bandwidth product into an impassable constraint. The choice is binary: either move electrical-to-optical conversion closer to the Application-Specific Integrated Circuit (ASIC) or surrender the link budget. Thus, to bypass this electrical wall, optics must migrate from the board edge and onto the ASIC package.
This progression is not an architectural preference; it is a physical necessity. Every serious scale-up roadmap eventually converges on the same outcome: optical interfaces migrating from front-panel modules (including optical-engine-based pluggables) to Near-Packaged Optics (NPO), and ultimately to Co-Packaged Optics (CPO) integrated alongside the compute die. CPO is not the goal in itself, but the inevitable consequence of interconnect bandwidth scaling.
The bottleneck moves to test
Silicon photonics platforms today deliver extraordinary functionality and bandwidth density, but the industry is hitting a manufacturing wall. Historically, optical testing has evolved as a specialized, low-volume practice. Test cells are often custom-built, alignment-heavy, and single-site. Optical instruments typically reside outside the Automated Test Equipment (ATE) ecosystem in rack-and-stack configurations, and throughput is measured in minutes rather than seconds. While these approaches suffice for labs and pilot lines, they break down at high channel counts and production volumes.
The issue is not the measurement rigor; it’s manufacturing efficiency at scale. As optics move inward toward the ASIC, we still need the same level of test coverage, but delivered with IC-style parallelism, repeatability, and automation.
For the rest of the article, please go to Photonic Integrated Circuits.
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Tags: AI infrastructure, Optical Interconnect, Optical DSPs, DSP, data center interconnect, hyperscale data center networks, Optical Connectivity, AI
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