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Dell Technologies helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry's broadest and most innovative technology and services portfolio for the AI era. 1. Dell results are based on internal testing compared to Elasticsearch's results, Dec. 2025. 2. Disclaimer: Based on Dell internal analysis, Sept. 2025. 3. Dell results are based on internal testing using the Qwen3-32B model, Oct. 2025. 3. Disclaimer: Based on Dell internal analysis, Sept. 2025 4. Disclaimer: Based on Dell internal analysis, Sept. 2025 5. Dell results are based on internal testing compared to Elasticsearch's results, Dec. 2025. 6. Based on Dell preliminary testing comparing random and sequential throughput per rack unit, May 2025. Actual performance may vary. 7. Based on internal analysis of sequential and random read I/O. Actual results may vary. Feb. 2026 8. Based on Dell internal testing comparing IOPs performance per node, Mar. 2026. IOPs rates based on FIO over a remote file system. Actual performance may vary. 9. Based on Dell preliminary testing comparing random and sequential throughput per rack unit, May 2025. Actual performance may vary. 10. Based on publicly available documentation from leading enterprise storage vendors as of March 2026. Comparison refers to distinct file, object and parallel‑file engines on one reusable hardware platform, excluding single‑engine multi‑protocol designs. 11. Based on internal analysis of sequential and random read I/O for Lightning File System, Feb. 2026. Actual results may vary. 12. Based on preliminary internal testing on single‑client random‑I/O performance of large files. Results will vary by workload and configuration. March 2026 13. Based on Enterprise Strategy Group paper commissioned by Dell, "Analyzing the Economic Benefits of the Dell AI Factory with NVIDIA," comparing the ROI of on-premises Dell and NVIDIA solution, August 2025. Estimated costs were modeled utilizing Llama 3 70B LLM for inferencing and model fine-tuning workloads by organizations over a 4-year period. Server models used were XE9680s with 8 x H100 GPUs. Actual results may vary. SOURCE Dell Technologies