GTC 2019 Keynote in Silicon Valley
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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. 2 NVIDIA ACCELERATED COMPUTING GROWTH 0 100 CRYOSPARC Cryo GROMACS Chemistry MICROVOLUTION Microscopy WRF Weather 600+ CUDA APPS FUN3D CFD PARABRICKS Genomics #1 World, US — ORNL Summit #1 Europe — CSCS Piz Daint #1 Japan — AIST ABCI 22 of Top 25 Energy-Efficient 50% GROWTH IN TOP50050% GROWTH OF NVIDIA DEVELOPERS 2018 2019 1.2M DEVELOPERS +50%800K 2018 2019 13M CUDA DOWNLOADS +60% 8M 2018 2019 25X 40X AMBER CHROMA LAMMPS MILC NAMD Quantum Espresso SF3D MORE PERF 2010 2012 2014 2016 2018
- 3. 3 NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA
- 4. 4 NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA Programmable SD, TTS, GID Acceleration TTA, SOP, COI Domains COD, COI Architecture GIA, GID, COI
- 5. 5 NVIDIA CUDA-X GPU-ACCELERATED COMPUTING LIBRARIES RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA PRogrammable SD, TTS, GID Acceleration TTA, SOP, COI Domains COD, COI Architecture GIA, GID, COI
- 6. 6 RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA CHAPTER 1: GRAPHICS
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- 11. 11 NVIDIA TURING RTX 18 BILLION TRANSISTORS 32 TOPS SHADER 130 TFLOPS TENSOR CORE
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- 14. 14 BROAD SUPPORT FOR NVIDIA RTX RTX comes to 9M 3D creators in 2019 3 MILLION Designers 3 MILLION 3D Artists 1 MILLION Architects 2 MILLION M&E Pros
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- 16. 16 CPU - Dual Skylake 25 38 Hours $70k $250k RTX Server - 4x RTX 8000 1 6 Hours $10k $30k # of Nodes Total Render Time Cost of Power (5 yrs) Total Cost “ 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
- 17. 17 COMPLEX RENDERING PIPELINE CONCEPT | MODELING | TEXTURE | RIGGING | ANIMATION | LIGHTING | RENDER
- 19. 19 ANNOUNCING NVIDIA OMNIVERSE Open Collaboration Platform to Simplify Studio Workflows for Real-time Graphics
- 20. 20
- 21. 21 ANNOUNCING NVIDIA OMNIVERSE Early Access at developer.nvidia.com/nvidia-omniverse
- 22. 22 GeForce NOW 500+ Games 15 Datacenters 300K Players 1M on Waiting List
- 23. 23 GeForce NOW 500+ Games 15 Datacenters 300K Players 1M on Waiting List Announcing GFN Alliance
- 24. 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
- 25. 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
- 26. 26 NVIDIA RTX SERVER GEFORCE NOWOMNIVERSERENDERING
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- 28. 28 RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA CHAPTER 2: AI & HPC
- 29. 29 DATA SCIENCE – A NEW PILLAR OF DISCOVERY PREDICTIVE MODELFEATURES PREDICTIONDATA ML DL CVNLU AI DATA ANALYTICS INFERENCE
- 30. 30 DATA SCIENCE – A NEW PILLAR OF DISCOVERY PREDICTIVE MODELFEATURES PREDICTIONDATA ETL, Pandas, Spark, Graph TensorFlow, PyTorch MXNet, Scikit-Learn, XGBoost TensorFlow Serving ONNX, SageMaker NEO CSV, PARQ, HDFS ML DL CVNLU AI DATA ANALYTICS INFERENCE
- 31. 31 DATA SCIENCE – A NEW PILLAR OF DISCOVERY PREDICTIVE MODELFEATURES PREDICTIONDATA cuIO cuDF cuGraph cuDNN cuML TensorRT TRTIS ML DL CVNLU AI DATA ANALYTICS INFERENCE
- 32. 32 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning
- 33. 33 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning Announcing Tensor Core Mixed-Precision Automatically Supported in TensorFlow, PyTorch, MXNet
- 34. 34 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning Announcing RAPIDS Now Integrated with Databricks Unified Analytics Platform
- 35. 35 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Azure Machine Learning Announcing RAPIDS with GCP VM Images and Kubeflow Google Cloud ML
- 36. 36 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Announcing RAPIDS Integrated into Azure Machine Learning Service
- 37. 37 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning “ 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
- 38. 38 NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS CLOUD ML SERVICES DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Google Cloud ML Azure Machine Learning Announcing NVIDIA TensorRT Integrated into Microsoft ONNX Runtime
- 39. 39 CLOUD ML SERVICES NVIDIA CUDA-X AI ECOSYSTEM FRAMEWORKS DEPLOYMENT Workstation CloudServer DA GRAPH DL TRAINML DL INFERENCE Serving Amazon SageMaker Neo CUDA-X AI CUDA Amazon SageMaker Azure Machine Learning Google Cloud ML
- 40. 40 AI CONVERSATIONAL SEARCH 20-30 containers end-to-end | RNN, CNN, MLP in INT8, FP16, FP32 | Latency <300ms Text to Speech Speech Recognition Object DetectionJPEG Decode Resize Denoising Voice Encoder Language Model AUDIO AUDIO VISUAL VISUAL Social News Visual Search Web Question and Answer Page Layout Entity Recognition Query Annotation Query Search Auto Correct Recommendation Ambient, task and accent What are different types of lighting for a living room?
- 42. 42 ANNOUNCING WORLD’S LEADING TECH COMPANIES Voice Search | Image Search Recommendations | Home Assistant News Feed | Translation | eCommerce Adopt CUDA-X AI to Accelerate Model Deployment 6X TensorRT Downloads 2017 2018 300K 50K
- 43. 43 TRANSFER LEARNING ANNOUNCING CLARA AI TOOLKIT Build, Manage And Deploy AI Applications For Radiology 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 AI DEPLOYMENT PRE-TRAINED MODELS AI-ASSISTED ANNOTATION
- 44. 44 CLARA AI – BUILT FOR RADIOLOGY MGH 3D Annotation from Hours to Minutes OSU Clinical Model Deployment in Less Than 24 hours DKFZ Clara AI Annotation Integrated in MITK Open Source Viewer NIH Trained State-of-the-Art Model in Weeks
- 45. 45 DATA SCIENCE IS THE NEW HPC CHALLENGE ML DL CVNLU AI DATA ANALYTICS PREDICTIVE MODELFEATURES INFERENCE PREDICTIONDATA
- 46. 46 25 million customers in 40+ states in US 500K access points 1TB | day
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- 48. 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
- 49. 49 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 Acceleration of FSI Data Science Workflow 2x RTX8000 1x RTX8000 CPU
- 50. 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
- 51. 51 SUPER COMPUTER VS. HYPERSCALE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE
- 52. 52 SUPER COMPUTER VS. HYPERSCALE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE
- 53. 53 SUPER COMPUTER VS. HYPERSCALE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE
- 54. 54 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE
- 55. 55 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE NVIDIA DGX-2 AI Supercomputer Appliance 16x V100 | 2 PF | 512GB HBM2 8x MLNX IB
- 56. 56 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE NVIDIA DGX-2 AI Supercomputer Appliance 16x V100 | 2 PF | 512GB HBM2 8x MLNX IB
- 57. 57 DATA SCIENCE – THE NEW HPC CHALLENGE COMPUTEREQUIREMENT 1T PF 1B PF 1M PF 1K PF 1PF 1TF 1K 1M 1B #CCU SUPERCOMPUTER HYPERSCALE DATA SCIENCE NVIDIA DGX-2 AI Supercomputer Appliance 16x V100 | 2 PF | 512GB HBM2 8x MLNX IB Data Science Server 4x T4 | 260 TF FP16 | 64GB GDDR6 MLNX or BRCM EN
- 58. 58 DATACENTER BECOMES A COMPUTE ENGINE
- 60. 60 NVIDIA DGX POD — ZERO TO DATA SCIENCE IN 1 DAY
- 61. 61 ANNOUNCING WORLD’S MOST POPULAR ENTERPRISE SERVERS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA T4 and New CUDA-X AI | NGC Certified
- 62. 62 ANNOUNCING WORLD’S MOST POPULAR ENTERPRISE SERVERS OPTIMIZED FOR DATA SCIENCE Powered by NVIDIA T4 and New CUDA-X AI | NGC Certified
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- 65. 65 MATT GARMAN Vice President of Compute Services Amazon Web Services
- 66. 66 THE WORLD’S LEADING BRANDS USE AMAZON EC2 P3 INSTANCES WITH NVIDIA V100 GPUS
- 67. 67 INTRODUCING AMAZON EC2 G4 INSTANCES WITH NVIDIA T4 TENSOR CORE GPUS MACHINE LEARNING INFERENCE GRAPHICS INTENSIVE APPLICATIONS VIDEO TRANSCODING
- 68. 68 CHAPTER 3: ROBOTICS RTX HPC AI DR IS CL ME NGC RTX DGX HGX AGX CUDA-X CUDA
- 69. 69 JETSON POWERING AUTONOMOUS MACHINES WAREHOUSE DELIVERY AGRICULTURE INDUSTRIALRETAIL
- 70. 70 ANNOUNCING JETSON NANO $99 NVIDIA CUDA-X AI Computer CUDA-X acceleration stack | High-resolution sensor support | Runs all CUDA-X AI models
- 71. 71 ANNOUNCING ISAAC OPEN SDK Isaac Robot Engine – Modular robot framework | Isaac Sim - Virtual robotics laboratory Isaac Gym – Reinforcement learning simulator | Isaac Robot Apps – Kaya, Carter and Link Available at developer.nvidia.com/isaac-sdk CARTER (Xavier)KAYA (Nano) LINK (Multi Xavier) ISAAC OPEN TOOLBOX Sensor and Actuator Drivers Core Libraries GEMS Reference DNN Tools CUDA-X
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- 74. 74 DRIVE OPEN PLATFORM ECOSYSTEM CARS TRUCKS MOBILITY SERVICES AI ISVs SIMULATIONMAPPING SENSORSTIER 1s
- 75. 75 ANNOUNCING DRIVE AP2X RELEASE 9.0 High Function L2+ Autopilot system On-ramp to off-ramp | Surround perception for auto lane-change | Localization to all major HD maps Real-time mapping with camera and radar | Integrated AR and VR confidence visualization Integrated DM and voice command
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- 77. 77 DRIVE AV — PERCEPTION Objects Lanes & Road Markings Free Space Distance
- 78. 78 Baidu — Beijing, China TomTom — Barcelona, Spain HERE — Oakland, USA Navinfo — Shanghai, China DRIVE AV — PERCEPTION Objects Lanes & Road Markings Free Space Distance DRIVE AV — LOCALIZATION & MAPPING
- 79. 79 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
- 80. 80 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
- 81. 81 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
- 82. 82 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
- 83. 83 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
- 84. 84 ANNOUNCING DRIVE AV — PATH PLANNING WITH SAFETY FORCE FIELD Path Planning + Prediction + Safety Force Field | Designed for AV safety and drive comfort Mathematically verifiable, validated in simulation | Open platform
- 85. 85 ANNOUNCING DRIVE CONSTELLATION AVAILABLE NOW Virtual AV Test Fleet Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions Simulate previous failure scenarios | Cloud-based workflow | Open platform
- 86. 86 ANNOUNCING DRIVE CONSTELLATION AVAILABLE NOW Virtual AV Test Fleet Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions Simulate previous failure scenarios | Cloud-based workflow | Open platform
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- 89. 89 ANNOUNCING DRIVE CONSTELLATION AVAILABLE NOW Virtual AV Test Fleet Bit-accurate, hardware-in-the-loop simulator | Test corner and rare conditions Simulate previous failure scenarios | Cloud-based workflow | Open platform
- 90. 90 ANNOUNCING NVIDIA AND TRI-AD PARTNER TO CREATE FUTURE OF AUTONOMOUS VEHICLES
- 91. 91 ACCELERATED COMPUTING — THE PATH FORWARD | “PRADA”
- 92. 92 RTX | OMNIVERSE | 5G GFN ALLIANCES
- 93. 93 DATA SCIENCE — THE NEW HPC CUDA-X ECOSYSTEM
- 94. 94 JETSON NANO | ISAAC | CONSTELLATION | TOYOTA
- 95. 95