NVIDIA Investor Presentation Deck

Full-Stack & Data Center Scale Acceleration Drive significant cost savings and workload scaling Classical Computing - 960 CPU-only servers Application CPU server racks ‒‒‒ - IM LLM Workload: Bert-Large Training and Inference | CPU Server: Dual-EYPC 7763 | GPU Server: Dual-EPYC 7763 +8X H100 PCIe GPUs Accelerated Computing - 2 GPU servers Application Re-Engineered for Acceleration CUDA-X Acceleration Libraries Magnum 10 25X lower cost 84X better energy-efficiency 13 NVIDIA

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