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Future of Skills
This document discusses what AI can bring to organizations. It notes that AI can help accelerate productivity, optimize systems and processes, and generate insights from vast amounts of data. The document also highlights that NVIDIA provides tools and platforms to help organizations develop, optimize and deploy AI applications across various industries.
Future of Skills
- 1. What AI bringsto the table. ALISON B. LOWNDES | SENIOR SCIENTIST | GLOBAL AI
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- 5. GINO 3D Geometry-informed neuraloperators https://arxiv.org/pdf/2309.00583.pdf
- 7. With NVIDIA DRIVESim features such as road elevation, road markings, islands, traffic signals, signs, and vertical posts are replicated at centimeter-level accuracy. Autonomous vehicles can drive millions of miles in a wide range of simulated scenarios so they hit the road running, safely. NVIDIA DRIVE Sim™ Turbocharges Developer Productivity to Get Self- Driving Cars on the Road
- 9. Scene reconstruction: Appearance ●Realism, viewpoint manipulation NeRF Mildenhall et al., 2020; Müller et al., 2022
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- 13. More than 4000Software Packages in the AI Development Stack NVIDIA AI Enterprise provides enterprise-grade security and acceleration DATA PROC (RAPIDS) TRAIN (PyTorch) OPTIMIZE (TensorRT) DEPLOY (Triton) NVIDIA CUDA NVIDIA AI Enterprise NVIDIA Dependency 3rd party & opensource CVE Patching
- 14. 14 NGC CONTAINERS ENABLEYOU TO FOCUS ON BUILDING AI PERFORMANCE OPTIMIZED DEPLOY ANYWHERE ENTERPRISE READY SOFTWARE Scanned for CVEs, malware, crypto Tested for reliability Backed by Enterprise support Scalable Updated monthly Better performance on the same system Docker | cri-o | containerd | Singularity Bare metal, VMs, Kubernetes Multi-cloud, on-prem, hybrid, edge https://catalog.ngc.nvidia.com/resources
- 15. 80 Billion Transistors 4.9TB/s Bandwidth NVIDIA H100 TSMC 4N Process
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- 20. Far-Edge | Edge| Cloud Synthetic Data Omniverse Replicator CNNs | Transformers Pre-Trained Models TAO Edge | Workstation | Cloud TAO TRAIN DEPLOY DATA Build Models for any Platform with NVIDIA TAO Fast-Track Data Generation, AI Model Creation and Deployment Low-Code AI Model Pruning & Quantization Standard ONNX Output Train and optimize using simple web APIs and CLIs Turnkey inference optimization to reduce compute and memory Compatible with other AI tools for optimization & deployment ONNX Any Inference Platform GPU CPU MCU DLA Real Data Data Bring your own Model
- 21. 21 SAILDRONE Startup Charts AutonomousOceanic Monitoring | NVIDIA Blog
- 22. CONVERGED ACCELERATORS JETSON AGXXAVIER (industrial) developer.nvidia.com/converged-accelerator-devkit www.nvidia.com/en-gb/edge-computing/products/igx/
- 23. Orbital Sidekick’s GHOSt2 fleetnow in orbit
- 24. Applications of NVIDIATechnology for Climate Change Mitigation & Adaptation Global Climate Strategies Energy Industry Innovation Climate Science Research NVIDIA Inception Partners FourCastNet Earth Digital Twin in Omniverse U-FNO Carbon Capture & Storage Simulations Powering the Energy Transition Utilidata Accelerating Adoption of Renewables Zenotech Improving Operational Efficiency Siemens Energy Modeling New Energy Sources SGTC NVIDIA AI Nations Helping Governments Implement AI UNOSAT Partnership Accelerating Climate Disaster Management Detecting Leaks in Water Infrastructure ASTERRA Protecting Wildlife from Poaching Rhions Lab TrueOcean Predicting Undersea Carbon Capture & Storage Blue Sky Analytics Harnessing Satellite Data to Access Climate Risk 10,000+ Startups 110 Countries
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- 27. torch-harmonics A library fordifferentiable Spherical Harmonics Transforms (SHT) • Open-Source library under MIT license: https://github.com/NVIDIA/torch-harmonics • Efficient calls for forward and inverse (vector) spherical harmonic transformations • Autograd support as differential layers in PyTorch • Distributed computation across many GPUs • Easy to integrate into existing PyTorch code, contains many examples, among them SFNO
- 28. OPTION 2 WORLD SIMULATIONIS THE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD Rendering
- 29. OPTION 2 WORLD SIMULATIONIS THE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD Physics Rendering
- 30. WORLD SIMULATION ISTHE ULTIMATE COMPUTER SCIENCE CHALLENGE VIRTUAL WORLD Rendering Physic s AI
- 31. SUPERCOMPUTING BRINGS WORLDSIMULATION TO AN INFLECTION POINT VIRTUAL WORLD Rendering Physic s AI
- 32. Sensors Controllers Humans PHYSICAL WORLD Real-Time Data Synchronization ControlSignal DIGITAL TWINS ARE A NEW CLASS OF WORLD SIMULATION VIRTUAL WORLD Rendering Physic s AI
- 33. OMNIVERSE LAUNCHER →LEARN
- 34. 37 EXPLORE OMNIVERSE ENTERPRISE SEEYOU IN OMNIVERSE DOWNLOAD OMNIVERSE nvidia.com/omniverse DEVELOP ON OMNIVERSE DOCUMENTATION docs.omniverse.nvidia.com FORUMS omniverse.nvidia.com/forums TUTORIALS AND WEBINARS omniverse.nvidia.com/tutorials DISCORD discord.gg/nvidiaomniverse
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- 36. Industrial Metaverse OpportunitiesExist at Every Scale Every physical process will be software-defined Product Factory City Nation Planetary Galaxy
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- 38. START YOUR DEVELOPMENTWITH JETSON ORIN TODAY Two Devkits. Seven Options. The Jetson AGX Orin Developer Kit is available with 64GB of memory. It can emulate the performance of the AGX Orin series, the Orin NX series, and the Orin Nano series. NVIDIA recommends to use developer kts for only development purposes. For production, customers should leverage our production modules, have been tested for production environments. JETSON AGX ORIN DEVELOPER KIT 5W - 60W 275 TOPS (INT8) 110mm x 110mm x 71.65mm $1999 JETSON ORIN NANO DEVELOPER KIT 7W-15W 40 TOPS (INT8) 100mmX79mmX21mm $499
- 39. World Record Accuracy 2.96% Gapon 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
- 40. 43 NVIDIA DEVELOPER PROGRAM TOOLS JOINTHE 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. COMMUNITY • 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
- 41. HELPING YOU SOLVEYOUR 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
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- 43. Fully Connected with NVLinkSwitches
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- 48. Scaling to Hundredsand Thousands of DGX Nodes
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