Los días 22 y 23 de junio de 2016 organizamos en la Fundación Ramón Areces un simposio internacional sobre 'Materiales bidimensionales: explorando los límites de la física y la ingeniería'. En colaboración con el Massachusetts Institute of Technology (MIT), científicos de este prestigioso centro de investigación mostraron las propiedades únicas de materiales como el grafeno, de solo un átomo de espesor, y al mismo tiempo más resistente que el acero y mucho más ligero.
Science and Cyberinfrastructure in the Data-Dominated EraLarry Smarr
10.02.22
Invited talk
Symposium #1610, How Computational Science Is Tackling the Grand Challenges Facing Science and Society
Title: Science and Cyberinfrastructure in the Data-Dominated Era
San Diego, CA
Advanced weather forecasting for RES applications: Smart4RES developments tow...Leonardo ENERGY
Recording at: https://youtu.be/45Zpjog95QU
This is the 3rd Smart4RES webinar that will address technological and market challenges in RES prediction and will introduce the Smart4RES strategy to improve weather forecasting models with high resolution.
Through wind and solar applications, Innovative Numerical Weather Prediction and Large-Eddy Simulation approaches will be presented.
Quantum computing description in short. History about quantum computers. Hero's of quantum computers,. introductions abstract what are quantum computers
VISION / AMBITION
-Australia the first drone-sensed nation (cm-scale)
-Pre-competitive data release for industry, environmental management, education & research
-Conventional survey & remote sensing techniques at ultra-high resolution and flexibility (time-series, rapid response etc)
-Next gen “UNDERCOVER” techniques (minerals and water resources)
Big Data, Big Computing, AI, and Environmental ScienceIan Foster
I presented to the Environmental Data Science group at UChicago, with the goal of getting them excited about the opportunities inherent in big data, big computing, and AI--and to think about how to collaborate with Argonne in those areas. We had a great and long conversation about Takuya Kurihana's work on unsupervised learning for cloud classification. I also mentioned our work making NASA and CMIP data accessible on AI supercomputers.
We present the current activities of the German Climate Computing Center (DKRZ) related to the application of machine learning and deep learning in fundamental weather and climate research. We follow the Nature article "Deep learning and process understanding for data-driven Earth system science" (https://www.nature.com/articles/s41586-019-0912-1), elaborate on the hybrid model in the article "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling" (https://arxiv.org/abs/1710.11431), and explain the recent application of Nvidia image inpaiting in the reconstruction of temperature missing data (Kadow et al. (2020), "Artificial Intelligence reconstructs missing Climate Information" (in review)).
Short-term forecasting is usually classified into two groups: the first approach uses physical model in order to compute the downscaling, whereas the second group relies on statistical learning. We propose a new strategy based on both approaches: a micro-scale CFD model coupled with an artificial neural network correction. Selection of the optimal neural network is achieved through a genetic algorithm. This solution is tested on a real case, which leads to a relative RMSE improvement of 17%.
Los días 22 y 23 de junio de 2016 organizamos en la Fundación Ramón Areces un simposio internacional sobre 'Materiales bidimensionales: explorando los límites de la física y la ingeniería'. En colaboración con el Massachusetts Institute of Technology (MIT), científicos de este prestigioso centro de investigación mostraron las propiedades únicas de materiales como el grafeno, de solo un átomo de espesor, y al mismo tiempo más resistente que el acero y mucho más ligero.
Science and Cyberinfrastructure in the Data-Dominated EraLarry Smarr
10.02.22
Invited talk
Symposium #1610, How Computational Science Is Tackling the Grand Challenges Facing Science and Society
Title: Science and Cyberinfrastructure in the Data-Dominated Era
San Diego, CA
Advanced weather forecasting for RES applications: Smart4RES developments tow...Leonardo ENERGY
Recording at: https://youtu.be/45Zpjog95QU
This is the 3rd Smart4RES webinar that will address technological and market challenges in RES prediction and will introduce the Smart4RES strategy to improve weather forecasting models with high resolution.
Through wind and solar applications, Innovative Numerical Weather Prediction and Large-Eddy Simulation approaches will be presented.
Quantum computing description in short. History about quantum computers. Hero's of quantum computers,. introductions abstract what are quantum computers
VISION / AMBITION
-Australia the first drone-sensed nation (cm-scale)
-Pre-competitive data release for industry, environmental management, education & research
-Conventional survey & remote sensing techniques at ultra-high resolution and flexibility (time-series, rapid response etc)
-Next gen “UNDERCOVER” techniques (minerals and water resources)
Big Data, Big Computing, AI, and Environmental ScienceIan Foster
I presented to the Environmental Data Science group at UChicago, with the goal of getting them excited about the opportunities inherent in big data, big computing, and AI--and to think about how to collaborate with Argonne in those areas. We had a great and long conversation about Takuya Kurihana's work on unsupervised learning for cloud classification. I also mentioned our work making NASA and CMIP data accessible on AI supercomputers.
We present the current activities of the German Climate Computing Center (DKRZ) related to the application of machine learning and deep learning in fundamental weather and climate research. We follow the Nature article "Deep learning and process understanding for data-driven Earth system science" (https://www.nature.com/articles/s41586-019-0912-1), elaborate on the hybrid model in the article "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling" (https://arxiv.org/abs/1710.11431), and explain the recent application of Nvidia image inpaiting in the reconstruction of temperature missing data (Kadow et al. (2020), "Artificial Intelligence reconstructs missing Climate Information" (in review)).
Short-term forecasting is usually classified into two groups: the first approach uses physical model in order to compute the downscaling, whereas the second group relies on statistical learning. We propose a new strategy based on both approaches: a micro-scale CFD model coupled with an artificial neural network correction. Selection of the optimal neural network is achieved through a genetic algorithm. This solution is tested on a real case, which leads to a relative RMSE improvement of 17%.
A talk on reducing costs & increasing efficiencies by designing, testing & engineering in simulation first, plus examples of robotics & environmental capability.
Harnessing the virtual realm for successful real world artificial intelligenceAlison B. Lowndes
Artificial Intelligence is impacting all areas of society, from healthcare and transportation to smart cities and energy. How NVIDIA invests both in internal pure research and accelerated computation to enable its diverse customer base, across gaming & extended reality, graphics, AI, robotics, simulation, high performance scientific computing, healthcare & more. You will be introduced to the GPU computing platform & shown real world successfully deployed applications as well as a glimpse into the current state of the art across academia, enterprise and startups.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
7. 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.
7
8. Accelerated prediction and real-time detection
SATELLITE
IMAGERY
WEATHER
TERRAIN
Infrequent updates
Minutes/Hours
Hours/Days
INCOMING
SENSOR
DATA
WILDFIRE
PREDICTION
MODEL
OMNIVERSE
REGIONAL DIGITAL
TWIN
LIST OF COARSE
PROBABLE FIRE
LOCATIONS
OBSERVATIONS
EVENT
PREDICTION
THIRD PARTY
PLANNING APPS/OV
CLIENTS
Fire front
simulations
Detected, refined fire
locations and attributes
“State model updates”
DATA CENTER
EDGE
• Coarse
resolution
• Broad area
coverage
• Regular updates
• Acceleration
opportunity
• High resolution collection – ‘soda straw’
• Potentially comms-challenged
Either published out or
offline loaded prior to
mission
Physics-informed AI
Model?
*currently, we
are working
here
Accelerated fired
detection and
orthorectification
Edge processing as fast as camera
runs
• Precision mapping onto terrain
• Critical fire location / attributes
9. 9
“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.”
JENSEN HUANG, Founder, President & CEO,
NVIDIA Corporation
13. 13
Neural Radiance Fields (NeRFs) introduced in 2020
NeRFs are an astonishing new method for capturing reality
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng. 2020.
14. 14
Text Input for Latent Space Embedding
Instant-NGP NeRFs + Hashgrid Differentiable Rendering
Pure Noise
Diffusion Process
Final Image
Diffusion Models
22. Physics Simulation in Omniverse
Multiple Ways to Ingest and Simulate Physics in Omniverse
NVIDIA PhysX
Rigid & Soft Body Dynamics, Destruction, Fluid & Fire
Import Physics Instance
Offline from External 3rd Party Application
NVIDIA Modulus
Accelerated with Physics-ML Platform
23. DTE USE CASES
Already working with NOAA on a sea-surface system – land, atmosphere, space weather & cryo (ice) coming soon
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
24.
25. Escalating adventures in using machine learning
To parameterize convection in climate models, and new perspectives from autoregressive weather forecasting in industry
Mike Pritchard, Associate Professor at UC Irvine & Director of Climate Simulation Research at NVIDIA.
26. The low cloud problem
Projections for 2100 wildly disagree
How this system responds to climate change is a multi-trillion dollar question
https://fyfluiddynamics.com/2019/06/urban-centers-during-hurricanes/
27. • Global Storm Resolving
Models can now
capture deep clouds.
• The largest scales of
vertical mixing.
• Grid requirements:
dx ~ 1,000m, dt ~ 20s
Simulating these systems globally requires unfathomable compute
At least 10,000x more than the world’s most computationally demanding global storm-resolving models
• Shallow clouds are way
harder to simulate
• Fine-scale eddies
• Grid requirements: dx ~
100-m, dt ~ 1s
• Tens of thousands of
times more compute-
intensive
Deep Cumulonimbus
Resolvable with today’s global storm resolving tech
Marine Stratocumulus
Computationally out of reach
28. Lack of sub-km physics in climate models should keep us up at night
Boundary layer turbulence
Where humans live
Low cloud formation
Aerosol-cloud interaction
Planetary mixing & climate dynamics
Between boundary & free troposphere
The computational problem matters
29. High resolution climate prediction is a computational challenge
100km
10 km
1 km
100 m
1980 1990 2000 2010 2020 2030 2040 2050 2060
25 km at 10 min
1 km at 20 s (30,000x COMPUTE)
100m at 0.1 s (500 MILLION X COMPUTE)
STORM-RESOLVING
LOW
CLOUD-RESOLVING
Horizontal
grid
spacing
Figure adapted from: Schneider, T., Teixeira, J., Bretherton, C. et al. “Climate goals and computing the future of clouds”. Nature Climate Change 7, 3–5 (2017)
30. • MMF: Multiscale Modeling Framework
• Thousands of “micro-models” of fast, fine-scale physics.
• Embedded in a host global climate model.
• Computationally approachable & scalable.
• Explicit eddies emerging from appropriate equations.
• Also known as "Cloud SuperParameterization"
• Convenient scale exchange arteries for machine learning.
In academia I try to cope using a multi-scale simulation algorithm: “MMF”
The Multi-Scale Modeling Framework approach to global climate modeling
Cloud superparameterization
A multi-scale modeling framework
31. Methods to regionalize unusually high-resolution MMF have emerged
Unexpectedly minimal grid transition artifacts. With load-balancing, yields cost savings of ~ 3x
Peng, Pritchard et al., JAMES, 2022.
32. Worth finding out to leapfrog Moore’s Law and attain appropriate resolution.
100km
10 km
1 km
100 m
1980 1990 2000 2010 2020 2030 2040 2050 2060
25 km at 10 min
1 km at 20 s (30,000x COMPUTE)
100m at 0.1 s (500 MILLION X COMPUTE)
STORM-RESOLVING
LOW
CLOUD-RESOLVING
Horizontal
grid
spacing
Figure adapted from: Schneider, T., Teixeira, J., Bretherton, C. et al. “Climate goals and computing the future of clouds”. Nature Climate Change 7, 3–5 (2017)
Can we use ML to sneak sub-km
physics into climate models decades
ahead of computational schedule?
35. Deuben & Bauer (2018), 6° , 60x30, 1.8K pixels, MLP
WeatherBench, Rasp et al. (2020). 5.625°, 64x32, 2K pixels, CNN
Weyn et al. (2019), 2.5° N.H only, 72x36, 2.6k pixels, ConvLSTM
DLWP, Weyn et al. (2020). 2°, 16K pixels, Deep CNN on Cubesphere/(2021) ResNet
FourCastNet, Pathak et al. (2022), 0.25°, ~1,000,000 Pixels, ViT+AFNO
GNN, Keisler et al. (2022), 1°, 64,000 Pixels, Graph Neural Networks
FourCastNet: NV’s DDWP, first to be trained at ambitious 0.25-deg global resolution
36.
37. Fascinating rate of increase of FourCastNet’s weather prediction skill.
Individual researchers yielding impressive skill gains from ablations independent of large architecture searches
Skill gap reduced by more than half
w.r.t IFS gold standard
Skill gap reduced by more than half
w.r.t IFS gold standard
Acronym Alert:
ACC: Anomaly Correlation Coefficient (metric of weather skill)
IFS: The Integrated Forecast System, a gold standard weather model
FCN: FourCastNet, our digital twin of weather.
Ablations that seem to matter:
• State vector size – adding upper atmosphere helped.
• Only to a limit; adding other things has not immediately helped.
• Model size: # of transformer blocks & hidden dimension.
• Caveat: trades off with inference speed, training cost & memory use.
• Open question: Most efficient route to improving DDWP accuracy.
38. -- Bjorn Stevens, GTC 2022
Tethering via FCN could solve storage, latency crisis for high-res climate prediction
AI nimbly generates details between "checkpoints" saved only infrequently from physics-based climate simulations
40. 40
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
41. 41
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
42. Getting Started With NVIDIA AI
NVIDIA AI Enterprise Trial Programs
Evaluation Software
Requirements: NVIDIA-Certified
System
Free evaluation licenses for on
premises POC
90 days to test and experience
NVIDIA LaunchPad
AI development and deployment trial
program
Deep dive, hands-on labs for AI
practitioners and IT staff
Requires ~8 hrs / Access for 2 wks
43. The Conference for the
Era of AI and the Metaverse
March 20-23, 2023
GTC 2023 Keynote