Case Study: a large AI natural language processing company enhances global AI training and inferencing with Zenlayer

AI startup enhances training, inferencing, and service delivery leveraging Zenlayer’s global backbone

Zenlayer worked with a large AI-natural language processing company, an AI startup valued at over $2.5 billion, that needed a more reliable, flexible, and scalable global network to support AI model training, inferencing, and service delivery. As demand grew, the customer needed secure cross-border connectivity and direct cloud connections to quickly integrate GPU and TPU resources across regions.

Zenlayer implemented private, secure interconnectivity across AWS, Google Cloud, Alibaba Cloud, and Tencent Cloud using its global backbone, IP Transit, Cloud Networking, and Cloud Connect services. The solution helped the customer accelerate training and inferencing with high-speed dedicated lines, improve uptime through redundant paths, and simplify operations with zenConsole; while no exact performance numbers were provided, Zenlayer enabled faster deployment, better scalability, lower latency, and more efficient global expansion.