This joint whitepaper by Supermicro and Aarna.ml introduces a comprehensive Reference Architecture for AI RAN Distributed Inference, built on the powerful NVIDIA GH200 Grace Hopper Platform and a flexible multi-tenant cloud management layer. Designed to help Communication Service Providers (CSPs) unlock new monetization streams, optimize RAN performance, and scale AI applications at the network edge, this future-proof architecture brings together high-performance hardware, intelligent software orchestration, and dynamic resource allocation.
The result: a scalable, low-latency, secure, and efficient solution for distributed telco edge environments – serving both RAN and AI workloads.
A detailed hardware and software reference architecture for AI-RAN distributed inference leveraging NVIDIA GH200 Grace Hopper System and NVIDIA Spectrum-X Networking.
Insights into aarna.ml’s GPU Cloud Management Software (AI-RAN Edition) that enables dynamic multi-tenancy, resource scaling, and AI/RAN workload orchestration.
Real-world topologies and rack-level diagrams for both central and edge site deployments.
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An NVIDIA and venture-backed company based in Silicon Valley providing production ready GPU Cloud Management Software.
