DriveNets and WhiteFiber Connect Two Distant Sites into One AI Supercluster

DriveNets, WhiteFiber and WEKA successfully connected GPU clusters at two geographically separated data centers to operate as one AI supercluster. The video explores how this scale-across approach helps overcome power and capacity constraints, alongside network planning considerations and plans to expand to more sites.

𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆𝘀

•  Plan the network ahead: use shallow buffer for intra-site connectivity and deep buffer for cross-site connectivity.
•  Provide sufficient capacity, preferably dark fiber, between the sites, and use a scheduler that spreads the workload across different systems.
•   • When a data center runs out of power, add GPUs in another data center up to 50 and even 100 miles away. Both GPU clusters then work as a single cluster.
•   For latency-sensitive inference, place GPUs closer to customers at the edge, and measure time to first token and time between tokens, not just round-trip delay.
•   WhiteFiber runs 2 sites today and plans 3 or more in a mesh or hub-and-spoke model, combining smaller modular capacity into one larger fabric.

𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝘀𝘁𝗼𝗿𝘆
https://www.whitefiber.com/blog/cross-data-center-networking-solution
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https://drivenets.com/
DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics.

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