About the whitepaper
A fast-growing neocloud provider was scaling their AI compute infrastructure to meet surging demand from enterprise clients training large language models. Their existing networking relied on a single vendor's proprietary interconnect, creating supply chain bottlenecks and limiting their ability to offer multi-vendor GPU configurations to customers. With plans to scale beyond 50,000 GPUs across three data centers, they needed a networking layer that could keep pace without locking them into one ecosystem.
Solution:
The provider deployed Upscale AI's scale-out networking platform across their primary data center, connecting racks from multiple GPU vendors into a unified fabric. Using open Ethernet standards and SONiC-based management, their existing network operations team was able to manage the expanded infrastructure without hiring specialized engineers.
