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    • 1. Based on Dell analysis, March 2024. Dell Technologies offers hardware solutions engineered to support AI workloads from Workstations PCs (mobile and fixed) to Servers for High-performance Computing, Data Storage, Cloud Native Software-Defined Infrastructure, Networking Switches, Data Protection, HCI and Services.  

      2. Based on Dell analysis, April 2023.  

      3. Based on Dell internal analysis of cybersecurity capabilities of Dell PowerMax versus cyber security capabilities of competitive mainstream arrays supporting open systems and mainframe storage, April 2024. https://www.delltechnologies.com/asset/en-us/solutions/business-solutions/technical-support/dell-optimizer-features-availability-matrix.pdf.external 

      4. Based on Dell analysis, November 2023. Dell Optimizer not available in OptiPlex 3000 series, Latitude Chromebook Enterprise, and Linux-based devices. Feature availability and functionality may vary by model. For more details visit: https://www.delltechnologies.com/asset/en-us/solutions/business-solutions/technical-support/dell-optimizer-features-availability-matrix.pdf.external

      5. Valid as of 10 May 2023, Dell edge portfolio spans 24 categories, from servers and gateways to appliances and platforms, covering edge workload-specific, edge-enabled, and edge-aware infrastructure, deployed at both the far edge and near edge. This is in contrast to an HPE edge portfolio with 13 categories, Supermicro 10 categories, Cisco 7 categories, and Lenovo 6 categories. 

      6. As of January 2023, based on internal analysis of vertical industry categories from 2022 Fortune 500 rankings.

      7. Based on Principled Technologies paper commissioned by Dell, “Investing in GenAI: Cost-benefit analysis of Dell on premises deployments vs. public cloud,” comparing the TCO for on-premises Dell infrastructure using a Dell APEX pay-per-use solution versus a similarly configured public cloud AWS SageMaker (up to 73% lower TCO) and Azure Machine Learning (up to 72% lower TCO) solutions, May 2024. Estimated costs were modeled utilizing Llama 2 13B for inferencing and model fine-tuning workloads by organizations over a 3-year period. Actual results may vary. See full paper here.

      8. Based on Dell analysis, February 2024.