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GTC 2019 Keynote in Silicon Valley

NVIDIA CEO Jensen Huang's keynote address at the GPU Technology Conference 2019 (#GTC19) in Silicon Valley, where he introduced breakthroughs in pro graphics with NVIDIA Omniverse; in data science with NVIDIA-powered Data Science Workstations; in inference and enterprise computing with NVIDIA T4 GPU-powered servers; in autonomous machines with NVIDIA Jetson Nano and the NVIDIA Isaac SDK; in autonomous vehicles with NVIDIA Safety Force Field and DRIVE Constellation; and much more.

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GTC 2019 Keynote in Silicon Valley

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  2. NVIDIA ACCELERATED COMPUTING GROWTH 50% GROWTH OF NVIDIA DEVELOPERS 50% GROWTH IN TOP500 600+ CUDA APPS MORE PERF 40X #1 World, US — ORNL Summit #1 Europe — CSCS Piz Daint #1 Japan — AIST ABCI 22 of Top 25 Energy-Efficient 1.2M DEVELOPERS +50% 800K 25X CRYOSPARC Cryo FUN3D CFD GROMACS Chemistry 100 2018 2019 AMBER CHROMA LAMMPS MILC NAMD 13M CUDA Quantum Espresso SF3D DOWNLOADS +60% 8M WRF Weather MICROVOLUTION Microscopy PARABRICKS Genomics 0 2018 2019 2018 2019 2010 2012 2014 2016 2018 2

  3. NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES NGC RTX HPC AI DR IS CL ME CUDA-X CUDA RTX DGX HGX AGX 3

  4. NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES NGC Programmable Acceleration Domains Architecture SD, TTS, GID TTA, SOP, COI COD, COI GIA, GID, COI RTX HPC AI DR IS CL ME CUDA-X CUDA RTX DGX HGX AGX 4

  5. NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES NGC PRogrammable Acceleration Domains Architecture SD, TTS, GID TTA, SOP, COI COD, COI GIA, GID, COI RTX HPC AI DR IS CL ME CUDA-X CUDA RTX DGX HGX AGX 5

  6. CHAPTER 1: GRAPHICS NGC RTX HPC AI DR IS CL ME CUDA-X CUDA RTX DGX HGX AGX 6

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  11. NVIDIA TURING RTX 18 BILLION TRANSISTORS 32 TOPS SHADER 130 TFLOPS TENSOR CORE 11

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  14. BROAD SUPPORT FOR NVIDIA RTX RTX comes to 9M 3D creators in 2019 1 MILLION Architects 3 MILLION Designers 3 MILLION 3D Artists 2 MILLION M&E Pros 14

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  16. “ Pixar artists already rely on NVIDIA ray tracing, and RTX more than doubles the performance they will see. We’re excited to use RTX on our upcoming films.” – STEVE MAY, CTO, Pixar RenderMan XPU R&D test on assets from Incredibles 2 © Disney/Pixar # of Nodes Total Render Time Cost of Power (5 yrs) Total Cost CPU - Dual Skylake 25 38 Hours $70k $250k RTX Server - 4x RTX 8000 1 6 Hours $10k $30k 16

  17. COMPLEX RENDERING PIPELINE CONCEPT | MODELING | TEXTURE | RIGGING | ANIMATION | LIGHTING | RENDER 17

  18. GLOBAL STUDIO COLLABORATION 18

  19. ANNOUNCING NVIDIA OMNIVERSE Open Collaboration Platform to Simplify Studio Workflows for Real-time Graphics 19

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  21. ANNOUNCING NVIDIA OMNIVERSE Early Access at developer.nvidia.com/nvidia-omniverse 21

  22. 15 Datacenters 300K Players 1M on Waiting List GeForce NOW 500+ Games 22

  23. 15 Datacenters 300K Players 1M on Waiting List GeForce NOW 500+ Games Announcing GFN Alliance 23

  24. ANNOUNCING RTX SERVER Datacenter Graphics Server Design 40 Turing GPUs in 8U | Virtualize graphics apps up to 320 CCU Optimized end-to-end stack for rendering, remote workstation, and cloud gaming 24

  25. ANNOUNCING RTX SERVER POD Modular Designs for Enterprise & Cloud Edge Datacenters Pods scale to 32 RTX servers | 1,280 GPUs in 10 racks High-speed storage connected with MLNX IB | Up to 10,000 concurrent users per RTX Pod 25

  26. NVIDIA RTX SERVER GEFORCE NOW RENDERING OMNIVERSE 26

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  28. CHAPTER 2: AI & HPC NGC RTX HPC AI DR IS CL ME CUDA-X CUDA RTX DGX HGX AGX 28

  29. DATA SCIENCE – A NEW PILLAR OF DISCOVERY AI PREDICTIVE MODEL FEATURES DATA NLU CV PREDICTION DATA INFERENCE ANALYTICS ML DL 29

  30. DATA SCIENCE – A NEW PILLAR OF DISCOVERY AI PREDICTIVE MODEL FEATURES DATA NLU CV PREDICTION DATA INFERENCE ANALYTICS CSV, PARQ, HDFS ML DL ETL, Pandas, Spark, Graph TensorFlow, PyTorch MXNet, Scikit-Learn, XGBoost TensorFlow Serving ONNX, SageMaker NEO 30

  31. DATA SCIENCE – A NEW PILLAR OF DISCOVERY AI PREDICTIVE MODEL FEATURES DATA NLU CV PREDICTION DATA INFERENCE ANALYTICS ML DL cuIO cuDF cuGraph cuDNN cuML TensorRT TRTIS 31

  32. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud 32

  33. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud Announcing Tensor Core Mixed-Precision Automatically Supported in TensorFlow, PyTorch, MXNet 33

  34. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud Announcing RAPIDS Now Integrated with Databricks Unified Analytics Platform 34

  35. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud Announcing RAPIDS with GCP VM Images and Kubeflow 35

  36. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud Announcing RAPIDS Integrated into Azure Machine Learning Service 36

  37. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud “ We are excited to announce that we are partnering with NVIDIA to bring RAPIDS to Accenture’s new Applied Intelligence Platform enabling our joint venture with Kansai Electric Power, K4Digital, to transform business process and create new opportunities.” – MIKE SUTCLIFF, Group Chief Executive, Accenture Digital 37

  38. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud Announcing NVIDIA TensorRT Integrated into Microsoft ONNX Runtime 38

  39. NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Amazon SageMaker Amazon SageMaker Neo Google Cloud ML Serving Azure Machine Learning DA GRAPH ML DL TRAIN DL INFERENCE CUDA-X AI CUDA Workstation Server Cloud 39

  40. AI CONVERSATIONAL SEARCH What are different types of lighting for a living room? Entity Recognition Query Annotation Auto Correct AUDIO Query Search Denoising Speech Recognition Language Model Recommendation VISUAL JPEG Decode Resize Object Detection Ambient, task and accent Social News Web Visual Search AUDIO Question and Answer Voice Encoder Text to Speech VISUAL Page Layout 20-30 containers end-to-end | RNN, CNN, MLP in INT8, FP16, FP32 | Latency <300ms 40

  41. https://bing.app.link/gtc 41

  42. ANNOUNCING WORLD’S LEADING TECH COMPANIES Adopt CUDA-X AI to Accelerate Model Deployment 6X TensorRT Downloads 300K Voice Search | Image Search Recommendations | Home Assistant News Feed | Translation | eCommerce 50K 2017 2018 42

  43. ANNOUNCING CLARA AI TOOLKIT Build, Manage And Deploy AI Applications For Radiology TRANSFER LEARNING AI PRE-TRAINED MODELS AI-ASSISTED ANNOTATION DEPLOYMENT AI-Assisted Annotation – Hours to Minutes | 10x Less Training Data Needed | 13 Pre-Trained Models Reference Training and Deployment Pipelines | Available at developer.nvidia.com/clara 43

  44. CLARA AI – BUILT FOR RADIOLOGY MGH OSU DKFZ NIH 3D Annotation from Hours to Minutes Clinical Model Deployment in Less Than 24 hours Clara AI Annotation Integrated in MITK Open Source Viewer Trained State-of-the-Art Model in Weeks 44

  45. DATA SCIENCE IS THE NEW HPC CHALLENGE AI PREDICTIVE MODEL FEATURES DATA NLU CV PREDICTION DATA INFERENCE ANALYTICS ML DL 45

  46. 25 million customers in 40+ states in US 500K access points 1TB | day 46

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  48. A WORKSTATION FOR DATA SCIENTISTS Powered by NVIDIA GPU and CUDA-X AI Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science — RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster 48

  49. ANNOUNCING WORLD’S TOP COMPUTER MAKERS OFFER WORKSTATIONS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA GPU and CUDA-X AI Acceleration of FSI Data Science Workflow 2x RTX8000 1x RTX8000 CPU Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science — RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster 49

  50. ANNOUNCING WORLD’S TOP COMPUTER MAKERS OFFER WORKSTATIONS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA GPU and CUDA-X AI Dual Quadro RTX 8000 with 96 GB Memory | Pre-installed for CUDA-X Accelerated Data Science — RAPIDS, TensorFlow, PyTorch, Caffe, Anaconda Distribution | 10X Faster 50

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