Operationalizing Distributed AI: Armada and NVIDIA AI Grid
Real-time AI is reshaping infrastructure requirements.
Inference workloads such as conversational AI, real-time video generation, AR/XR streaming, visual search, and large-scale personalization demand ultra-low latency, predictable performance, and geographic proximity to users and data sources. Centralized AI factories remain essential for training, but for many AI-native services, inference at scale requires AI Grids: geographically distributed GPU infrastructure operating as a unified, policy-controlled system.
Armada is collaborating with NVIDIA to enable NVIDIA AI Grid on Armada Edge Platform (AEP), providing telecommunications operators, service providers, and enterprises with a validated architecture for deploying and operating distributed AI infrastructure at global scale.
This post explores the architecture and operational model behind that system.