The backbone ring connects data halls across a hyperscale campus. AI clusters, spine fabric, and storage all converge here — demanding maximum density and minimum duct occupancy. A single Celesta 6912F pull is the complete solution.
2
Building Interconnect — AI Compute to Spine
GPU compute buildings connecting to spine switches in AI hyperscale topology. A building housing 4,000+ H100 GPUs s may saturate a 3456F cable. The 6912F serves a full AI compute building in a single pull — leaving 62% of duct capacity free.
3
Colocation MMR Build-Out
STL’s FEC cabinets and pre-stubbed enclosures provide organised, scalable MMR entry for every carrier and tenant — with enough dark fiber reserve in a single Celesta I/O cable for years of additions without further pulls.
4
OSP to Inside Plant Transition
STL’s I/O Celesta IBR routes from campus duct through the building entry to the MMR — eliminating the greyspace splice, recovering 0.5–1.5dB, and simplifying the build.
5
DCI / Long-Reach Campus Extension
Connecting a primary campus to a DR site, colo, or remote PoP. The Celesta 6912F’s mass-fusion-splicing efficiency makes it the preferred medium for long-haul extension builds where schedule, budget, and fiber count are all constrained.
Why Interconnect Is AI's Critical Layer?
AI comes in many forms — including training AI generative AI, inference AI, and agentic AI — and each places distinct demands on data center infrastructure.
Generative AI creates new content by learning patterns from large datasets, generating intense GPU-to-GPU traffic that requires ultra-high-density, low-latency optical connectivity between facilities.
Inference AI applies trained models to make real-time predictions on new data, demanding consistent, reliable fiber paths across core and edge data center for always-available performance.
Agentic AI powers autonomous systems that perceive, decide, and act independently, requiring resilient, always-on interconnect for continuous high-frequency data exchange across distributed environments.
Data center interconnect has become a critical layer in AI infrastructure — every workload depends on moving very large volumes of data between halls/facilities with extremely low-latency, using multiple high fiber count cables. STL’s interconnect portfolio is engineered for exactly this type of application: maximum fiber density per duct pull, factory-verified splice-free performance, and modular infrastructure that scales seamlessly as AI architectures evolve — ensuring the physical network never becomes the bottleneck between ambition and deployment.
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