What Is an AI Factory? Networking, Orchestration, and the Future of GPU Infrastructure

In this episode of the Aviz Podcast Series, host Ilona Gabinsky, VP of Marketing at Aviz Networks, sits down with Mohan Atreya, Chief Product Officer at Rafay, and Thomas Scheibe, Chief Product Officer at Aviz Networks, to unpack what it really takes to build and operate an AI factory.

The conversation covers why an AI factory is fundamentally different from a traditional data center, and why networking, not just GPUs, is the piece that ties everything together. Mohan and Thomas explain how multiple networks (compute, tenant access, and storage) must be coordinated to keep GPU clusters running efficiently, and why multi-tenancy, automation, and orchestration are essential to operating at scale.

They also break down the Rafay and Aviz partnership in detail, showing how a programmatic API integration allows GPU provisioning and network configuration to happen automatically, without manual tickets or human bottlenecks. Along the way, they introduce a new way of thinking about the cloud concept of a VPC, reframed as a Virtual Private Factory for the AI era.

The discussion closes with practical advice for enterprises and neo clouds just starting their AI factory journey, along with predictions for how infrastructure design will evolve as deployments scale toward gigawatt-level capacity.

Topics discussed:

1.) What defines an AI factory versus a traditional data center

2.) Why networking is central to GPU infrastructure performance

3.) Multi-tenancy and secure resource isolation

4.) The Rafay and Aviz API driven automation model

5.) Rethinking VPCs as Virtual Private Factories

6.) Monitoring GPU and LLM level metrics alongside infrastructure

7.) What AI factories will look like in the next two years

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Learn more about Aviz Networks: https://www.avizNetworks.com

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