As organizations race to train more and more advanced AI models, as well as deploy existing models at scale, an enormous amount of time and money is being invested in expanding AI infrastructure.

All around the world, data centers are becoming more and more important, bringing data and computing power together to get the most out of AI workloads.

But this is far from a simple process. Without the right data center architecture, assembled with rigorous testing, organizations can’t achieve the full speed and performance of AI.

In this episode, in association with Keysight Technologies, Jane speaks to Ben Miller, product manager at Keysight Technologies, to learn more about AI infrastructure and how Keysight can optimize it for the best performance possible.

Read more:

• Keysight Introduces AI Data Center Builder to Validate and Optimize Network Architecture and Host Design
• What is a GPU?