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  1. 1. Using bits & pixels to reduce costs ALISON B. LOWNDES | SENIOR SCIENTIST | GLOBAL AI @alisonblowndes
  2. 2. MODERN ERA OF GAMING SYNTHETIC WORLDS AND VISUAL COMPUTING
  3. 3. 4
  4. 4. End-to-End Vision AI Development Fast-Track Data Generation, AI Model Creation, App Development, Inference and Scalability NVIDIA Fleet Command Metropolis Microservices NVIDIA Deepstream, TensorRT, and Triton NVIDIA TAO Toolkit NVIDIA Video Storage Toolkit NVIDIA Pre- Trained Models NVIDIA Omniverse Replicator Any Cloud Generate synthetic training data Use state of the art models out of the box Simplify and accelerate model tuning Easily manage cameras and storage Optimize inference throughput Build cloud-native applications Streamline edge deployment and app management Deploy on any public and private cloud Generate Train Build Deploy
  5. 5. Create Physically Accurate 3D Synthetic Data to Accelerate Vision AI Model Development Build Highly Accurate Models Reduce Costs Prototype Faster NVIDIA TAO OMNIVERSE REPLICATOR
  6. 6. 8
  7. 7. Planning & Action Conversation Gesture Realistic Graphics Speech Vision Face Animation Body Animation HOW CAN I HELP? METAVERSE APPLICATION: AVATARS & DIGITAL HUMANS
  8. 8. ANNOUNCING NVIDIA RIVA 2.0 World-Class Speech AI | Fully Customizable | Supported with Riva Enterprise developer.nvidia.com/riva UNLIMITED USAGE Scale to any cloud & on-premises ACCESS TO NVIDIA AI EXPERTS 8-5 local business hours Guidance on configurations, performance CONTROL MAINTENANCE & UPGRADE SCHEDULE Long-term support for up to 3 years TICKET PRIORITIZATION Latest security fixes and maintenance releases Automatic Speech Recognition Audio Text-To-Speech Audio
  9. 9. 12
  10. 10. DEPLOYMENT CHALLENGES Reduce Latency & Maximize Throughput Model Optimization Model Serving Triton Inference Server TensorRT FasterTransformer
  11. 11. AI INFERENCE IS HARD PROCESSORS AI Inference DEPLOYMENT PLATFORMS Cloud On-Prem Edge Embedde d T4 GPU Arm CPU A100 GPU V100 GPU x86 CPU FRAMEWORKS APP CONSTRAINTS Real Time Batch Streaming MODELS CNN GNN Decision Trees RNN Transformers
  12. 12. 15 TAO VISION TRANSFORMER MODELS ROBUST GENERALIZABLE REQUIRES LESS DATA TO FINE-TUNE DEFORMABLE DETR for Object Detection and SegFormer for Semantic Segmentation 1. Understanding Robustness in Vision Transformers - https://arxiv.org/pdf/2204.12451.pdf 2. Delving Deep into the Generalization of Vision Transformers under Distribution Shifts - https://arxiv.org/pdf/2106.07617v3.pdf 3. SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformer - https://arxiv.org/abs/2105.15203 Dataset: Linear 5-Shot ImageNet Snow SegFormer CNN Transformer Image Type
  13. 13. FAN @ ECCV 2022 #1 for semantic segmentation https://arxiv.org/pdf/2204.12451.pdf http://www.robustvision.net/leaderboard.php?benchmark=semantic
  14. 14. https://nvlabs.github.io/instant-ngp/
  15. 15. 20
  16. 16. 21
  17. 17. IGX Orin
  18. 18. 23 BUILDING AN ENTERPRISE AI PLATFORM AI Infrastructure AI Application Development Data Prep Training Inference Accelerated Computing High-Performance Storage and Networking Prototype IT infrastructure optimized for AI workloads speeds model development
  19. 19. 25
  20. 20. 26 Lockheed Martin and NVIDIA Selected by NOAA for Earth Observation Building a Climate Research Data Pipeline with NVIDIA Omniverse Anomaly Detection AI Algorithms Data Fusion Sensor Data Ground Data Satellite Data BUILD PHYSICAL WORLD DIGITAL TWIN DESIGN OPERATE SIMULATE SC22: https://youtu.be/m8baYkVrYIw
  21. 21. Earth 2 / DTE USE CASES Broad range across local -> global, short term -> long term scales for monitoring, modeling, mitigation, adaptation. EXTREME WEATHER Predict weather. Detect storms ENERGY Downscale. Predict energy. Optimize. WILDFIRE Satellite detection, fire prediction, smoke forecasting OCEAN AND ICE Predict ice-melt, sea-level, ecosystem changes
  22. 22. Why Accelerated Computing is Energy Efficient GPU Acceleration Moving Compute Intense Sections to the GPU GPUs Complete Jobs Faster Consume Less Overall Energy NVIDIA GPUs Energy Efficiency Over CPUs Potential Energy Savings Switching All CPUs to GPUs GP U Compute- Intensive Functions Application Code Rest of Sequential CPU Code CPU + NVIDIA GPUs are typically 20x more energy efficient for AI & HPC workloads than CPUs 20X 1.7M 12Twatt-hours GPUs typically have higher peak active power consumption than CPUs However, they complete workloads significantly faster Annual energy saved if all CPU-only servers switched to GPUs U.S. homes/year Equivalent to the energy used by Energy Used in a Typical AI Inference Job Server TDP (kW) C P U G P U
  23. 23. NVIDIA Liquid-Cooled GPUs for Mainstream Servers A100 LIQUID COOLED H100 LIQUID COOLED H100 PCIe Early 2023 HGX H100 Q4 2022 HGX A100 Shipping A100 PCIe Q3 2022 30% 66% <1.2 PUE Lower Power Consumption Less Rack Space Meet Efficiency Targets * Energy & Space Efficiency Of A100 PCIe Liquid Cooled Vs Air Cooled A100 Liquid Cooled H100 Liquid Cooled
  24. 24. Improving Energy Efficiency is a Core Goal Improving With Each New GPU Getting Faster & More Energy Efficient Leading AI Performance & Efficiency As Adoption of AI Accelerates, Our Focus is Shifting from Training to Inference NVIDIA Ampere Compared to Volta faster for AI training & inference 20X more energy efficient 7.5X faster for AI inference 30X more energy efficient 3.5X NVIDIA Hopper Compared to Ampere Embedded Automotive Data Center faster than CPU-only platforms during inference 36X TensorRT-Based Apps Speeding Up DL Inference MLPerf Inference Benchmarks Orin SOC Set New Records in AI Inference Led in 5 of 6 Performance Tests NVIDIA & Partners Lead in All MLPerf Inference Categories
  25. 25. A Blending of Physical and Virtual Worlds THE METAVERSE
  26. 26. NVIDIA MAXINE Early Access at developer.nvidia.com/maxine
  27. 27. OPTION 2 WORLD SIMULATION IS THE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD
  28. 28. OPTION 2 WORLD SIMULATION IS THE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD Rendering
  29. 29. OPTION 2 WORLD SIMULATION IS THE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD Physics Rendering
  30. 30. WORLD SIMULATION IS THE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD Rendering Physics AI
  31. 31. SUPERCOMPUTING BRINGS WORLD SIMULATION TO AN INFLECTION POINT VIRTUAL WORLD Rendering Physics AI
  32. 32. Sensors Controllers Humans PHYSICAL WORLD Real-Time Data Synchronization Control Signal DIGITAL TWINS ARE A NEW CLASS OF WORLD SIMULATION VIRTUAL WORLD Rendering Physic s AI
  33. 33. SYNC’ING THE REAL & THE VIRTUAL Sensors Controllers Humans PHYSICAL WORLD Real-Time Data Synchronization Control Signal VIRTUAL WORLD Rendering Physic s AI
  34. 34. 3 NVIDIA ConnectX-7 400Gbps NICs 2 Intel Platinum 8362 CPUs 1 TB System Memory and 16 TB NVMe Storage 8 NVIDIA L40 GPUs NVIDIA OVX SERVER
  35. 35. 43 NVIDIA ROBOTICS RESEARCH LAB SEATTLE Drive breakthrough robotics research to enable the next- generation of robots that safely work alongside humans, transforming industries such as manufacturing, logistics, healthcare, and more
  36. 36. MEET CARTER https://docs.nvidia.com/isaac/archive/2020.2/doc/tutorials/carter_hardware.html
  37. 37. Jetson AGX Orin ISAAC NOVA REFERENCE AMR ROBOT SYSTEM https://developer.nvidia.com/isaac/nova-orin
  38. 38. Keynote: https://youtu.be/39ubNuxnrK8?t=4987
  39. 39. NOVA ORIN Industrial Robotics Platform NVIDIA ISAAC NVIDIA AI NVIDIA OMNIVERSE
  40. 40. World Record Accuracy 2.96% Gap on Gehring and Homberger Scalable to 1,000s of Locations 3 Seconds vs 5 Minutes to Route 1,000 Packages NVIDIA CUOPT Re-Optimize Logistics and Supply Chain in Real-Time Accelerated Solver for Vehicle Route, Warehouse Picking, Fleet-Mix Optimization Massively Parallel Algorithm Generates Thousands of Solution Candidates and Refinements Dynamic Rerouting Reduces Travel Time – Save Billions for a $10 Trillion Logistics Industry Available Now developer.nvidia.com/cuopt-logistics- optimization
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  43. 43. VIRTUAL WORLDS ARE ESSENTIAL FOR THE NEXT ERA OF INDUSTRIES & AI
  44. 44. OMNIVERSE
  45. 45. OMNIVERSE
  46. 46. 54 EXPLORE OMNIVERSE ENTERPRISE SEE YOU IN OMNIVERSE GET ACCESS TO A FREE TRIAL DEVELOP ON OMNIVERSE DOCUMENTATION docs.omniverse.nvidia.com FORUMS omniverse.nvidia.com/forums TUTORIALS AND WEBINARS omniverse.nvidia.com/tutorials DISCORD discord.gg/nvidiaomniverse
  47. 47. HELPING YOU SOLVE YOUR MOST CHALLENGING PROBLEMS • Build and deploy end-to-end projects across a range of technologies and domains. • Gain hands-on experience with the most widely used, industry-standard software, tools, and frameworks. • Join live, instructor-led workshops and learn from DLI-certified instructors who are experts in their fields. • Take self-paced, online courses anytime, anywhere. • Earn NVIDIA DLI certificates to demonstrate subject matter competency and support career growth. Hands-On Training in AI, Accelerated Computing, Accelerated Data Science, Graphics and Simulation, and More Learn more: www.nvidia.com/dli Deep Learning Fundamentals AI for Anomaly Detection AI for Industrial Inspection Conversational AI AI for Intelligent Video Analytics Accelerated Computing Fundamentals Recommender Systems AI for Predictive Maintenance Accelerated Data Science Fundamentals Graphics and Simulation Networking AI in the Data Center
  48. 48. NGC CATALOG The Hub of GPU-Optimized Software ACCELERATES DEVELOPMENT Focus on building, not setup FULLY TRANSPARENT Quickly identify and deploy the right software PERFORMANCE OPTIMIZED Tested across GPU-accelerated Platforms SOTA models Model resumes Develop once. Deploy anywhere w/ NVIDIA VMI ngc.nvidia.com Detailed security scan reports One click deploy from NGC Monthly sw container updates 0.9 1.4 1.9 Jun '20 Nov '20 Nov '21 Training Speedup Faster Training on the Same Stack* *8x NVIDIA A100 40GB. NVIDIA DGX. Resnet-50. Mixed Precision. 256 Batch size.
  49. 49. 57 NVIDIA DEVELOPER PROGRAM TOOLS JOIN THE COMMUNITY THAT’S CHANGING THE WORLD • Get exclusive access to an extensive library of NVIDIA software, spanning all of NVIDIA’s technology platforms. • Save time with ready-to-run, GPU-optimized software, model scripts, and containerized apps from the NVIDIA NGC™ catalog. • Participate in early access programs where you can be one of the first to experience the latest NVIDIA technology. TRAINING • Take advantage of research papers, technical documentation, developer blogs, and industry-specific resources. • Choose from an extensive catalog of training options through the NVIDIA Deep Learning Institute (DLI). • Get unlimited access to NVIDIA On-Demand, the home for NVIDIA resources from GTCs and other leading industry events. COMMUNIT Y • Network with like-minded developers, engage with GPU experts, and contribute to discussions in the developer forums. • Attend exclusive meetups, GPU hackathons, and events. • Connect with NVIDIA experts through developer-focused webinars and Instructor-led workshops. Join the free program today developer.nvidia.com/join
  50. 50. Silicon Valley Singapore Paris Washington, D.C. Dallas Amsterdam Frankfurt London Tokyo NVIDIA LAUNCHPAD ACROSS THE GLOBE nvidia.com/try-ai
  51. 51. THANK YOU alowndes@nvidia.com

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