Learn more about the different types of workloads for AI servers - training and inference - and the need for powerful endpoint devices and high-capacity networks.

Implementing Generative AI (GenAI) responsibly requires companies to address risks around ethics, sustainability, and cybersecurity. Schneider Electric launched the AI Hub and conducted a review process to identify over 200 potential use cases, selecting those with high value for customers. GenAI, along with machine learning and deep learning, can support sustainability efforts by optimizing energy usage and forecasting. Responsible AI solutions prioritize energy efficiency and serve a meaningful purpose.