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WhiteFiber Unveils Distributed Supercluster Architecture for AI

WhiteFiber has successfully tested a cross-data-center networking architecture that pushes 111.2 Tbps of bandwidth across 83 kilometers of dark fiber. By maintaining 0.9ms of round-trip latency, the system allows geographically separated facilities to function as a single, unified GPU supercluster, marking a shift toward more resilient AI infrastructure.

WhiteFiber Unveils Distributed Supercluster Architecture for AI

The breakthrough, scheduled for commercial deployment in Q3 2026, relies on a proprietary design that brings latency within 8% of the physical limit for light traveling through fiber. Rather than treating remote data centers as linked silos, the WhiteFiber architecture treats them as a single logical entity. This approach enables enterprises to scale AI workloads beyond the physical footprint of a single facility, offering new possibilities for sovereign AI, edge computing, and large-scale telecommunications.

Development of the system involved a deep technical partnership with DriveNets, which supplied the high-performance network fabric, and WEKA, which provided the underlying data and memory infrastructure. CEO Sam Tabar noted that the project effectively removes geographic distance as a primary constraint on high-performance computing. While current results utilize only a portion of the available fiber spectrum, the company plans to conduct full-fiber lighting tests ahead of the official launch next year.

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