Imagine securing 300 MW of power, land, permits, and highly coveted GPUs in an emerging data center market, only to hit a wall when the physical shell is finished: the regional fiber transport infrastructure isn’t ready.
In a recent expert opinion piece published on The Fast Mode, Kirkwood IG Chief Commercial Officer Mike Sevret breaks down how connectivity delays create “stranded compute”—leaving billions of dollars in AI hardware sitting idle—and why developers must rethink site planning from day one.
Key Takeaways from the Article:
- Power Isn’t the Only Bottleneck: While grid constraints dominate headlines, regional fiber routes, physical diversity, and conduit capacity create a silent second delay that can take 12 to 18 months to engineer, permit, and construct.
- The High Cost of Idle GPUs: High-density AI compute economics are heavily front-loaded. Losing months of productive operational time leads to rapid GPU depreciation, delayed revenues, and underutilized capital.
- Legacy Networks Aren’t Enough: AI clusters require massive scale—often needing 864 to 6,912 dedicated dark fiber strands across four physically diverse paths rather than standard lit transport capacity.
- The Parallel Infrastructure Playbook: To prevent stranded compute, intercampus fiber connectivity, multi-conduit pathways, and expansion capacity must be engineered alongside land and power procurement from the very beginning.
Discover why traditional infrastructure KPIs fall short when power can’t reach production-ready compute—and how parallel fiber planning bridges the gap.