NVIDIA Investor Presentation Deck

20x 15x 10x 1x 5x Ox SINGLE-STREAM Per-accelerator Normalized to Jetson AGX Xavier 0.9x Centaur NVIDIA Tops MLPerf Edge Inference Benchmarks Leadership Performance for Edge Servers with T4, A100, and Edge Devices with Jetson 2.3x NVIDIA Jetson AGX Xavier NVIDIA T4 E NVIDIA A100-PCle 2.0x 2.0x X 2.9x Object Image Speech Detection Classification Recognition SSD-Small ResNet-50 RNN-T 2.8x Medical Imaging. 3D U-Net 3.4x Object Detection SSD-Large 4.8x NLP BERT 30x 25x 1x 20x 15x 10x 5x Ox X = No Result Submitted MULTI-STREAM Per-accelerator Normalized to Jetson AGX Xavier ■NVIDIA Jetson AGX Xavier 3.4x Object Detection SSD-Small NVIDIA T4 2.8x Image Classification ResNet-50 E NVIDIA A100-PCle MLPerf v0.7 Inference Closed; Edge Single-Stream derived from reported latencies and Multi-Stream. SSD-Small, ResNet-50 (Single-Stream): 0.7-131, 0.7-152, 0.7-153, 0.7-146 RNN-T, 3D U-Net 99.9%, SSD-Large, BERT 99% (Single-Stream): 0.7-152, 0.7-153, 0.7-146 SSD-Small, ResNet-50, SSD-Large (Multi-Stream): 0.7-152, 0.7-153, 0.7-146 MLPerf name and logo are trademarks. See www.mlperf.org for more information. 4.0x Object Detection SSD-Large

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