Why AI Factory Design Needs Real-Time Validation Instead of Physical Labs

Modern AI infrastructure no longer only means networking together a stack of GPUs with a bunch of switches. The modern AI factory now relies on tightly optimized networking in which a slight configuration miss will affect performance, price or deployment timeline. Traditionally, this means it requires setting up and testing the network configuration in a physical lab which is expensive, time consuming and not easily scalable.

Why, you ask?

Because hardware testing alone can be cost prohibitive. Design cycles are serial and iterative, meaning designs and validation are split into distinct phases that take weeks or days to cycle through. When you're designing for the future, you have configuration misses which aren’t caught until you’ve rolled out production. It’s time to disrupt the cycle with digital twins.

What NVIDIA AIR and Aviz ONES give you NVIDIA AIR provides an all-digital, virtualized AI network simulation where you can simulate all the switches, links, automation and configuration as they would run in a production AI data center - at a moment’s notice.

Your team can test their infrastructure and validate the configuration as fast as you can come up with it - no need to wait for physical hardware to be configured and turned up. Aviz ONES takes this one step further. Every time you make a configuration change with ONES, a live simulation spins up inside NVIDIA AIR, providing you with immediate and continuous validation of your infrastructure changes as your design matures.

Instead of having discrete design and testing phases, you validate at every step of your infrastructure design process in real time, giving you the confidence to iterate and improve before deploying your production environment. By creating digital twins of your AI network, you can reduce time to deployment while enhancing reliability. This also allows teams to collaborate from anywhere, run experimental scenarios with confidence, and scale your simulation capacity beyond the limitations of your physical hardware.

In a production-ready AI network infrastructure where time is of the essence and operational risks are significant, simulation and validation in the design phase are no longer optional - they’re now a necessity.

Check out the full blog below to discover how NVIDIA AIR and Aviz ONES are redefining AI infrastructure through digital twins, continuous validation, and real-time network design. https://aviznetworks.com/resources/blogs/designing-ai-networks-at-the-speed-of-thought-how-nvidia-air-and-aviz-ones-changed-ai-network-design

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