AI and the Data Center

Designing AI into a data center presents several challenges, including managing the massive computational power required for training models, which demands specialized hardware like GPUs or TPUs. Data storage and transfer are also strained, requiring high-speed networks to handle large datasets. Optimizing resource allocation without downtime further adds to the complexity. In this webinar, we will look at each of these aspects.

This session is part of our “HPC” webinar series. Registration/event page here.