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Excerpts from the AI VTT: Walkthrough an AI Solution Sizing in Practice
This course provides a foundational understanding of system sizing for artificial intelligence workloads. Learners will explore the key parameters that must be identified before sizing an AI solution and gain insight into how different AI phases impose distinct infrastructure requirements. The course differentiates between training and inferencing workloads, explaining how each impacts compute, storage, memory, and networking needs. By the end of the course, learners will be able to identify and explain the critical system components that must be sized correctly to ensure reliable, efficient, and scalable AI deployments.
Published: 2026-04-03
Length: 15 minutes
Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo 360 Learning Center
Course code: DVAI226
Language: English (US)
