NVIDIA Investor Conference Presentation Deck

Full-Stack & Data Center Scale Acceleration Significant cost savings and workload scaling Classical Computing - 960 CPU-only servers Application CPU server racks 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 NVIDIA |

View entire presentation