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Generative AI in the Enterprise
Introduction Generative AI background and concepts Business and technical challenges
Introduction
Ownership of content
Data quality
Model complexity
Ethical considerations
Sustainability
Regulatory compliance
Benefits Use cases Dell and NVIDIA solution architecture Infrastructure component considerations for AI Dell infrastructure and software components NVIDIA infrastructure and software components System Configurations Conclusion References

Model complexity

Model complexity

  • Generative AI models can be complex and require significant computational resources to train and run. This requirement can be a challenge for businesses that do not have access to powerful hardware or that are working with large datasets.