Can Today's Networks Handle Tomorrow's AI?

The way data center networks operate is changing with the evolving nature of AI workloads.

In a recent Aviz Networks podcast, Taylor Allison, Senior Product Marketing Manager at NVIDIA, spoke about changes that will happen in networking when it comes to large-scale AI training and inference.

To do AI training, GPUs need to work in tandem, which requires a network that is able to communicate with low latency and stay synchronized. Once you increase the number of GPUs, even more, the existing networking technologies will start to fail.

The networking solutions from NVIDIA that are optimized for AI workloads include Spectrum-X built for AI clusters over Ethernet and InfiniBand, another high-performance networking architecture for AI overclusters.

The podcast also covered NVIDIA Air and the digital twin technology. Before deploying configurations and automation to the production environments, users can create virtual environments in which they can test configurations and automation. This greatly decreases the risk involved in deploying automation and configurations for the first time.

At the same time, networking does not end with deployment.

After deployment comes the phases of network lifecycle management, where Day 1 is focused on the orchestration of the network while Day N describes the ongoing operations, availability, and reliability of the network. Aviz ONES helps customers with the networking lifecycle management.

AI workloads are also changing the operational workflows for networking. With increasingly sophisticated networking infrastructures, Network Copilot is designed to help network engineers with auditing and troubleshooting, as well as anomaly detection.

The most important component of all the previously mentioned AI infrastructure is a connected and synchronized networking solution that keeps all of the other powerful hardware components productive.

As AI infrastructure continues to scale, understanding how networks are designed and operated will become increasingly important.

Explore more about AI-ready networking and infrastructure:
https://aviznetworks.com/products/accelerating-ai-networking-with-nvidia-ai-factory-and-aviz-ones

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