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©️ Tech-Influence for Dell Technologies 2025

Research indicates that high costs (32%) and the need to modernize infrastructure (20%) are major barriers to AI implementation. This infographic provides five critical questions to help your organization determine the optimal environment—workstation, data center, or cloud—for running AI workloads. Learn how the right infrastructure choice can help you avoid over-provisioning and potentially realize up to 4x greater cost-effectiveness for inferencing compared to the public cloud, ensuring your AI journey is both high-performing and budget-friendly.
 

 Key Highlights:

 

  • Cost Savings: Discover how on-premises inferencing with Dell and NVIDIA AI solutions can be up to 4x more cost-effective than using the public cloud.

  • Five Key Questions: The essential considerations for "right-sizing" your AI infrastructure, covering use case, model size, performance, user count, and model output.

  • Model Size Strategy: Guidance on starting with the smallest AI model necessary to achieve the desired results for greater resource efficiency.

  • Performance vs. Cost: Framework for finding the right balance between rapid performance (required for customer-facing AI) and budget constraints.

  • Holistic Solution: Introduction to the Dell AI Factory with NVIDIA as the industry's first and only end-to-end solution designed to accelerate and scale AI adoption.