Fiber’s Next Act: Moving Hollow-Core and Multicore from Lab to Network
The exponential growth of AI workloads is pushing legacy data center and network infrastructures to their limits. As AI training and inference systems demand unprecedented interconnect densities, ultra-low latency, faster transmission speeds, and greater energy efficiency, traditional optical fiber architectures may struggle to keep pace.
Compounding these performance challenges are significant physical constraints, including limited data center real estate, congested conduits, and increasingly strict land utilization requirements. To support the next generation of AI clusters, the industry must explore new approaches that can dramatically increase bandwidth without expanding the physical network footprint.
Advanced optical innovations, including multi-core and hollow-core fiber technologies, could play a critical role in addressing the demands of modern compute environments.
Join us for this webinar to explore:
- Why AI workloads are placing new demands on data center and network infrastructure
- How physical space, conduit capacity, energy consumption, and thermal constraints are influencing network design
- The potential role of multi-core and hollow-core fiber in increasing bandwidth and improving connectivity
- The applications, characteristics and standardization considerations shaping adoption
- How advanced fiber technologies are progressing from laboratory innovation toward real-world deployment
- What these developments could mean for the future of AI-ready data centers and networks