Explore application-focused infrastructure models for AI computing, private cloud, green data centers, and edge deployments. Each solution is designed around workload, performance, and operating requirements.
Each application page explains where the model fits, the business and operational challenges it addresses, the core architecture involved, and the main tradeoffs to consider.

A high-performance AI infrastructure solution for large-model training, inference, scientific computing, and other compute-intensive workloads.

An energy-efficient data center solution focused on lower PUE, carbon visibility, and lower long-term operating cost.

A secure, scalable private cloud solution for core enterprise platforms, regulated workloads, and internal digital transformation programs.

A compact, modular edge data center solution for low-latency workloads across industrial, city, field, and distributed deployment scenarios.