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This technical white paper is a blueprint for generative AI model training. It describes a reference design for a modular platform for generative AI in the enterprise that focuses specifically on large model training, which is the process of training a model from scratch to be used for inferencing operations.
This document can be read alongside the associated white paper Generative AI in the Enterprise. The white paper provides an overview of generative AI, including its underlying principles, benefits, architectures, and techniques; the various types of generative AI models and how they are used in real-world applications; the challenges and limitations of generative AI; and descriptions of the various Dell and NVIDIA hardware and software components to be used in the architecture.
We also recommend reading the related design guides Generative AI in the Enterprise - Inferencing, which focuses on Inferencing and deployment of pre-trained models and Generative AI in the Enterprise – Model Customization, which focuses on retraining or fine tuning pre-trained models.