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Omniverse for the Metaverse

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Alison B. Lowndes
Alison B. Lowndes

The document provides predictions for advancements in AI technology in 2023, including: 1) Large-scale digital twins and generative AI transforming production applications and customer service. 2) Coupling of large language models with the ability to describe biology and chemistry for drug discovery. 3) Photorealistic simulation combining with generative AI to create scenarios for training robust autonomous systems. 4) Increasing robot deployment with human interaction through learning safe operation and environments.

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Science-fiction > fact > deploy ALISON B. LOWNDES | SENIOR SCIENTIST | GLOBAL AI @alisonblowndes A41109
What to expect in 2023 https://blogs.nvidia.com/blog/2022/12/13/2023-ai-predictions/ • large-scale digital twins bringing million-x acceleration to insight & optimisation of manufacturing efficiency, streamlining of operations & safety. • generalist AI (not generative) able to continuously learn & solve open-ended tasks with LLMs, RL & foundation models. • unified AI pipelines across hybrid cloud/on-prem infra for a single, connected experience balancing costs against strategic objectives. • generative AI (genAI), LLMs & recommender systems (Merlin) transforming production applications & fuelling advances in personalized customer service*. • coupling LLMs with the ability to describe biology & chemistry in highly capable AI models for drug discovery & potential therapies. • photorealistic rendering and accurate physics modelling combined with the ability to simulate - in parallel - millions of instances of a robot or AV while genAI creates highly realistic 3D simulation scenarios & synthetic data to further accelerate training of robust systems that have encountered & learnt from any possible scenario. • increasingly robust robots means more ability to be deployed with & learn from human interaction - learning to safely operate & understand the deployment environment (various workplaces, indoor and outdoors). • USD enables connection to Omniverse by any tool, viewer & browser seamlessly & consistently. Companies will save on waste, cost & time (increase operational efficiencies). • Combining AI and physics will continue to improve prediction and provide real-time updates as climate conditions change. Also enable more frequent and more accurate forecasting, ensuring fast & accurate supply chains & route optimization (cuOpt). • AI-based risk evaluation in real-time to improve the value firms deliver to their investors & customers & deliver operational resiliency. • Accelerated transition to energy-efficient, green computing with lower total cost of ownership (TCO), reduced carbon footprint, harnessing custom combinations of CPU, GPU & DPU. • electric utility companies deploy edge AI to improve operational efficiency, enhance functional safety, increase accuracy of load and demand forecasting, and accelerate the adoption of renewable energy. AI at the edge will increase grid resiliency, while reducing energy waste and cost. Better planning for renewable energy expenditures, predict generation capacity and prepare for severe weather events. • Bespoke zero-trust AI cybersecurity systems will discover more threats & prevent more breaches, bringing increased transparency as risk of being caught grows.
Omniverse for the Metaverse
Omniverse for the Metaverse
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
Omniverse for the Metaverse
76 Billion Transistors | TSMC 4N Process | Micron G6X Memory NVIDIA ADA LOVELACE Shaders New Streaming Multiprocessor 90 Shader TFLOPs 2X Power Efficiency Ray Tracing 3rd-Gen RT Cores 200 RT TFLOPs 2X Ray-Triangle Intersection Deep Learning 4th-Gen Tensor Cores 1,400 Tensor TFLOPs Optical Flow Accelerator
80 Billion Transistors 4.9 TB/s Bandwidth NVIDIA H100 TSMC 4N Process
Densest NVIDIA Accelerated Computing System New NVLink Chip-to-Chip Coherent Inference 900 GB/s Grace Hopper Superchip ANNOUNCING NVIDIA GRACE HOPPER
Enterprise Scale Cybersecurity Pinpoints Threats Faster NVIDIA Morpheus Digital Fingerprinting
Anomaly Detection Machine Human Machine Machine Machine Machine Human Humans and Machines Across the Enterprise Post-Processing Pre-Processing Inference Requests Apache Kafka TRITON Log Data NVIDIA MORPHEUS ANNOUNCING NVIDIA MORPHEUS Accelerated AI Platform for Next Gen SIEM Built on NVIDIA RAPIDS and NVIDIA AI 600X Faster Data Processing – Monitor Every User and Machine-Generated Data for Anomalous Behavior Detect Anomalies with 10s of Millions of AI Models in Real-Time Pre-Trained Models for User Activity Fingerprinting and Phishing Detection Early Access 2 Available Now nvidia.com/morpheus
A DRIVE AROUND THE NEIGHBOURHOOD
A Blending of Physical and Virtual Worlds THE METAVERSE
14
Omniverse for the Metaverse
Omniverse for the Metaverse
17 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
18 “NVIDIA is proud to have been one of ‘the Mavericks’ at the inception of the Frontier Development Laboratory. Our headquarters are named Endeavor and Voyager – mighty ships for our journey to the stars. We are delighted to support FDL as we push the frontiers for the human race.” JEN-HSUN HUANG PRESIDENT & CEO, NVIDIA CORPORATION
AI PORTFOLIO
Lunar surface imagery enhancement 20 Fig. 1: NASA’s Lunar Reconnaissance Orbiter Fig. 2: Apollo XVI landing site
Next Level of AI GPGPU in Space Applications Aitech’s S-A1760 Venus™: most powerful and smallest space AI GPGPU in small form factor (SFF). Suitable for the next gen of short duration spaceflight, NEO and LEO. 21
Enhance your skills with expert-led online workshops designed for developers of all types—from data scientists to students, researchers to instructors. These workshops are ideal for large enterprises to start-ups in AI, HPC, the metaverse, and beyond. Here is a list of recommended training for energy sector professionals: Labs: Portable Acceleration of HPC Applications using ISO C++ — Part 1: Fundamentals* | Portable Acceleration of HPC Applications using ISO C++ — Part 2: Multi-GPU Applications* | Using Machine Learning for Anomaly Detection and Predictive Maintenance Scenarios* | Accelerated AI Logistics and Route Optimization 101* | Focused on Industrial Usability: Building Simulation Tools for Manufacturing Automation* Workshops: Applications of AI for Anomaly Detection* | Applications of AI for Predictive Maintenance* | Building Transformer-Based Natural Language Processing Applications* | Computer Vision for Industrial Inspection* | Fundamentals of Accelerated Computing with CUDA Python* | Fundamentals of Accelerated Data Science* Register today for full-day workshops or free two-hour training labs. GTC workshops start at just $149 per seat (standard $500). We also offer a discounted price of $99 per seat for group purchases of 5+ seats. Register your team now. March 20-23 | www.nvidia.com/gtc/training Get Technical Training at GTC
23 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
The Conference for the Era of AI and the Metaverse March 20-23, 2023 nvidia.com/gtc/keynote

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Omniverse for the Metaverse

  • 1. Science-fiction > fact > deploy ALISON B. LOWNDES | SENIOR SCIENTIST | GLOBAL AI @alisonblowndes A41109
  • 2. What to expect in 2023 https://blogs.nvidia.com/blog/2022/12/13/2023-ai-predictions/ • large-scale digital twins bringing million-x acceleration to insight & optimisation of manufacturing efficiency, streamlining of operations & safety. • generalist AI (not generative) able to continuously learn & solve open-ended tasks with LLMs, RL & foundation models. • unified AI pipelines across hybrid cloud/on-prem infra for a single, connected experience balancing costs against strategic objectives. • generative AI (genAI), LLMs & recommender systems (Merlin) transforming production applications & fuelling advances in personalized customer service*. • coupling LLMs with the ability to describe biology & chemistry in highly capable AI models for drug discovery & potential therapies. • photorealistic rendering and accurate physics modelling combined with the ability to simulate - in parallel - millions of instances of a robot or AV while genAI creates highly realistic 3D simulation scenarios & synthetic data to further accelerate training of robust systems that have encountered & learnt from any possible scenario. • increasingly robust robots means more ability to be deployed with & learn from human interaction - learning to safely operate & understand the deployment environment (various workplaces, indoor and outdoors). • USD enables connection to Omniverse by any tool, viewer & browser seamlessly & consistently. Companies will save on waste, cost & time (increase operational efficiencies). • Combining AI and physics will continue to improve prediction and provide real-time updates as climate conditions change. Also enable more frequent and more accurate forecasting, ensuring fast & accurate supply chains & route optimization (cuOpt). • AI-based risk evaluation in real-time to improve the value firms deliver to their investors & customers & deliver operational resiliency. • Accelerated transition to energy-efficient, green computing with lower total cost of ownership (TCO), reduced carbon footprint, harnessing custom combinations of CPU, GPU & DPU. • electric utility companies deploy edge AI to improve operational efficiency, enhance functional safety, increase accuracy of load and demand forecasting, and accelerate the adoption of renewable energy. AI at the edge will increase grid resiliency, while reducing energy waste and cost. Better planning for renewable energy expenditures, predict generation capacity and prepare for severe weather events. • Bespoke zero-trust AI cybersecurity systems will discover more threats & prevent more breaches, bringing increased transparency as risk of being caught grows.
  • 5. 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
  • 7. 76 Billion Transistors | TSMC 4N Process | Micron G6X Memory NVIDIA ADA LOVELACE Shaders New Streaming Multiprocessor 90 Shader TFLOPs 2X Power Efficiency Ray Tracing 3rd-Gen RT Cores 200 RT TFLOPs 2X Ray-Triangle Intersection Deep Learning 4th-Gen Tensor Cores 1,400 Tensor TFLOPs Optical Flow Accelerator
  • 8. 80 Billion Transistors 4.9 TB/s Bandwidth NVIDIA H100 TSMC 4N Process
  • 9. Densest NVIDIA Accelerated Computing System New NVLink Chip-to-Chip Coherent Inference 900 GB/s Grace Hopper Superchip ANNOUNCING NVIDIA GRACE HOPPER
  • 10. Enterprise Scale Cybersecurity Pinpoints Threats Faster NVIDIA Morpheus Digital Fingerprinting
  • 11. Anomaly Detection Machine Human Machine Machine Machine Machine Human Humans and Machines Across the Enterprise Post-Processing Pre-Processing Inference Requests Apache Kafka TRITON Log Data NVIDIA MORPHEUS ANNOUNCING NVIDIA MORPHEUS Accelerated AI Platform for Next Gen SIEM Built on NVIDIA RAPIDS and NVIDIA AI 600X Faster Data Processing – Monitor Every User and Machine-Generated Data for Anomalous Behavior Detect Anomalies with 10s of Millions of AI Models in Real-Time Pre-Trained Models for User Activity Fingerprinting and Phishing Detection Early Access 2 Available Now nvidia.com/morpheus
  • 12. A DRIVE AROUND THE NEIGHBOURHOOD
  • 13. A Blending of Physical and Virtual Worlds THE METAVERSE
  • 14. 14
  • 17. 17 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
  • 18. 18 “NVIDIA is proud to have been one of ‘the Mavericks’ at the inception of the Frontier Development Laboratory. Our headquarters are named Endeavor and Voyager – mighty ships for our journey to the stars. We are delighted to support FDL as we push the frontiers for the human race.” JEN-HSUN HUANG PRESIDENT & CEO, NVIDIA CORPORATION
  • 20. Lunar surface imagery enhancement 20 Fig. 1: NASA’s Lunar Reconnaissance Orbiter Fig. 2: Apollo XVI landing site
  • 21. Next Level of AI GPGPU in Space Applications Aitech’s S-A1760 Venus™: most powerful and smallest space AI GPGPU in small form factor (SFF). Suitable for the next gen of short duration spaceflight, NEO and LEO. 21
  • 22. Enhance your skills with expert-led online workshops designed for developers of all types—from data scientists to students, researchers to instructors. These workshops are ideal for large enterprises to start-ups in AI, HPC, the metaverse, and beyond. Here is a list of recommended training for energy sector professionals: Labs: Portable Acceleration of HPC Applications using ISO C++ — Part 1: Fundamentals* | Portable Acceleration of HPC Applications using ISO C++ — Part 2: Multi-GPU Applications* | Using Machine Learning for Anomaly Detection and Predictive Maintenance Scenarios* | Accelerated AI Logistics and Route Optimization 101* | Focused on Industrial Usability: Building Simulation Tools for Manufacturing Automation* Workshops: Applications of AI for Anomaly Detection* | Applications of AI for Predictive Maintenance* | Building Transformer-Based Natural Language Processing Applications* | Computer Vision for Industrial Inspection* | Fundamentals of Accelerated Computing with CUDA Python* | Fundamentals of Accelerated Data Science* Register today for full-day workshops or free two-hour training labs. GTC workshops start at just $149 per seat (standard $500). We also offer a discounted price of $99 per seat for group purchases of 5+ seats. Register your team now. March 20-23 | www.nvidia.com/gtc/training Get Technical Training at GTC
  • 23. 23 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
  • 24. The Conference for the Era of AI and the Metaverse March 20-23, 2023 nvidia.com/gtc/keynote