This article explains how NetBird created a distributed AI inference infrastructure that connects GPU resources across various cloud providers. It highlights the ease of multi-cloud networking using existing technologies without the usual complications of VPNs and firewall configurations.

Rack-scale networking is becoming essential for massive AI workloads, offering significantly higher bandwidth compared to traditional scale-out networks like Ethernet and InfiniBand. Companies like Nvidia and AMD are leading the charge with advanced architectures that facilitate pooling of GPU compute and memory across multiple servers, catering to the demands of large enterprises and cloud providers. These systems, while complex and expensive, are designed to handle increasingly large AI models and their memory requirements.