Visualizing Simulation Data with CloudXR and RTX A5000

NVIDIA Developer · Intermediate ·📰 AI News & Updates ·5y ago

Key Takeaways

The video demonstrates how NVIDIA CloudXR and RTX A5000 can be used to visualize complex simulation data, enabling architects, engineers, and designers to validate and experience high-fidelity simulation data in real-time and at real-world scale.

Full Transcript

[Music] today's simulation software applications produce high fidelity extremely accurate results that benefit many industries for architects and engineers simulation data provides valuable insight into crucial parameters for design and construction and assist with identifying potential safety requirements of a project early in the design process however this data is often presented as tables of numerical values attributes and parameters which can be arduous to analyze quantify and interpret in the past few years virtual and augmented reality have begun to transform the aec design process allowing designers and clients to literally walk through a building before construction even begins most recently nvidia's cloud xr which now leverages nvidia rtx core technology of the nvidia rtx a5000 gpu has enabled streaming of vr ar and mr content from any openvr xr application even if the data is located on a remote server this has eliminated the need for complex hardware and design studios allowing lightweight wireless headsets to provide high quality immersive experiences such as this walkthrough of an amazing underground cave system located in singapore now what if you could take simulation data and add it into this visualization to make it far more intuitive to interpret that's exactly what we've done here with these streams showing the airflow within the mandy cavern which is scheduled to open for public tours in 2023 providing adequate ventilation and all of the accessible nooks and crannies of the cavern is key to the comfort and safety of the visitors this highly accurate model created using scan data is helping the designers make that happen to learn more about how nvidia cloud xr in the nvidia rtx a5000 is helping architects engineers and designers validate and experience high-fidelity simulation data in context to the project site in real time at real world scale visit the links in the description of this video

Original Description

Visualizing complex Simulation data requires power and performance. With NVIDIA RTX A5000 and NVIDIA CloudXR, Architects, Engineers and Designers are able to validate and experience high-fidelity Simulation Data like never before. Complex and dense data can be explored and analyzed in-context to the project site, in real-time, in real-world scale. With performance reliability, NVIDIA RTX GPU technology and CloudXR is changing how complex data is accessed, visualized, and validated.
Watch on YouTube ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Playlist

Uploads from NVIDIA Developer · NVIDIA Developer · 0 of 60

← Previous Next →
1 Ray Tracing Essentials Part 2: Rasterization versus Ray Tracing
Ray Tracing Essentials Part 2: Rasterization versus Ray Tracing
NVIDIA Developer
2 Ray Tracing Essentials Part 3: Ray Tracing Hardware
Ray Tracing Essentials Part 3: Ray Tracing Hardware
NVIDIA Developer
3 Ray Tracing Essentials Part 4: The Ray Tracing Pipeline
Ray Tracing Essentials Part 4: The Ray Tracing Pipeline
NVIDIA Developer
4 NsightGraphics 2020 2 Release Spotlight
NsightGraphics 2020 2 Release Spotlight
NVIDIA Developer
5 Ray Tracing Essentials Part 5: Ray Tracing Effects
Ray Tracing Essentials Part 5: Ray Tracing Effects
NVIDIA Developer
6 Ray Tracing Essentials Part 6: The Rendering Equation
Ray Tracing Essentials Part 6: The Rendering Equation
NVIDIA Developer
7 Ray Tracing Essentials Part 7: Denoising for Ray Tracing
Ray Tracing Essentials Part 7: Denoising for Ray Tracing
NVIDIA Developer
8 Spatiotemporal Importance Resampling for Many-Light Ray Tracing (ReSTIR)
Spatiotemporal Importance Resampling for Many-Light Ray Tracing (ReSTIR)
NVIDIA Developer
9 Announcing Cloud-Native Support for Jetson Platform
Announcing Cloud-Native Support for Jetson Platform
NVIDIA Developer
10 JetsonTV: Build your next project with NVIDIA Jetson
JetsonTV: Build your next project with NVIDIA Jetson
NVIDIA Developer
11 Nsight Compute Feature Spotlight: Roofline Analysis, Asynchronous Copy, Sparse Data Compression
Nsight Compute Feature Spotlight: Roofline Analysis, Asynchronous Copy, Sparse Data Compression
NVIDIA Developer
12 Nsight Systems Feature Spotlight: OpenMP
Nsight Systems Feature Spotlight: OpenMP
NVIDIA Developer
13 Isaac Sim 2020: Deep Dive
Isaac Sim 2020: Deep Dive
NVIDIA Developer
14 NVIDIA Jetson: Enabling AI-Powered Autonomous Machines at Scale
NVIDIA Jetson: Enabling AI-Powered Autonomous Machines at Scale
NVIDIA Developer
15 NVIDIA Tools to Train, Build, and Deploy Intelligent Vision Applications at the Edge
NVIDIA Tools to Train, Build, and Deploy Intelligent Vision Applications at the Edge
NVIDIA Developer
16 Jetson Xavier NX Developer Kit: The Next Leap in Edge Computing
Jetson Xavier NX Developer Kit: The Next Leap in Edge Computing
NVIDIA Developer
17 Synthesizing High-Resolution Images with StyleGAN2
Synthesizing High-Resolution Images with StyleGAN2
NVIDIA Developer
18 NVIDIA Robotics: Isaac SDK and Sim 2020.1
NVIDIA Robotics: Isaac SDK and Sim 2020.1
NVIDIA Developer
19 Accelerating COVID-19 Research with GPUs
Accelerating COVID-19 Research with GPUs
NVIDIA Developer
20 Visualizing 150 Terabytes of Data
Visualizing 150 Terabytes of Data
NVIDIA Developer
21 Boosting Performance and Utilization with Multi-Instance GPU
Boosting Performance and Utilization with Multi-Instance GPU
NVIDIA Developer
22 Running Multiple Workloads on a Single A100 GPU
Running Multiple Workloads on a Single A100 GPU
NVIDIA Developer
23 NVIDIA Nsight Feature Spotlight: GPU Trace
NVIDIA Nsight Feature Spotlight: GPU Trace
NVIDIA Developer
24 Spark 3 Demo: Comparing Performance of GPUs vs. CPUs
Spark 3 Demo: Comparing Performance of GPUs vs. CPUs
NVIDIA Developer
25 NVIDIA Jetson Nano Wins Edge AI and Vision Alliance Award
NVIDIA Jetson Nano Wins Edge AI and Vision Alliance Award
NVIDIA Developer
26 NVIDIA IndeX on Google Cloud Platform Marketplace
NVIDIA IndeX on Google Cloud Platform Marketplace
NVIDIA Developer
27 DeepStream SDK: Best practices for performance optimization
DeepStream SDK: Best practices for performance optimization
NVIDIA Developer
28 Efficiently Deploying GPU Accelerated 5G CloudRAN for Edge AI Inferencing
Efficiently Deploying GPU Accelerated 5G CloudRAN for Edge AI Inferencing
NVIDIA Developer
29 NVIDIA PhysicsNeMo - Accelerating Scientific & Engineering Simulation Workflows with AI
NVIDIA PhysicsNeMo - Accelerating Scientific & Engineering Simulation Workflows with AI
NVIDIA Developer
30 NVIDIA Deep Learning Institute Instructor-Led Training Available Remotely
NVIDIA Deep Learning Institute Instructor-Led Training Available Remotely
NVIDIA Developer
31 Advancing AR Glasses
Advancing AR Glasses
NVIDIA Developer
32 Blender Cycles: RTX On
Blender Cycles: RTX On
NVIDIA Developer
33 Real-Time GPU-Accelerated Data Analytics of 250 million Flight Data Records of 737 Max grounding
Real-Time GPU-Accelerated Data Analytics of 250 million Flight Data Records of 737 Max grounding
NVIDIA Developer
34 Assessing Property Damage with AI
Assessing Property Damage with AI
NVIDIA Developer
35 RAPIDS: GPU-Accelerated Data Analytics & Machine Learning
RAPIDS: GPU-Accelerated Data Analytics & Machine Learning
NVIDIA Developer
36 DaVinci Resolve Turns RTX On
DaVinci Resolve Turns RTX On
NVIDIA Developer
37 RAPIDS with Plotly Dash : GPU-Accelerated Census 2010 Visualization
RAPIDS with Plotly Dash : GPU-Accelerated Census 2010 Visualization
NVIDIA Developer
38 NVIDIA IndeX for arivis5D Cloud Platform
NVIDIA IndeX for arivis5D Cloud Platform
NVIDIA Developer
39 NVIDIA Backchannel: Behind the Scenes of Marbles at Night RTX
NVIDIA Backchannel: Behind the Scenes of Marbles at Night RTX
NVIDIA Developer
40 NVIDIA Backchannel: Sneak Peek into Marbles RTX in Omniverse
NVIDIA Backchannel: Sneak Peek into Marbles RTX in Omniverse
NVIDIA Developer
41 How to Create "Paint" in Substance Painter
How to Create "Paint" in Substance Painter
NVIDIA Developer
42 Accelerate AI development for Computer Vision on the NVIDIA Jetson with alwaysAI
Accelerate AI development for Computer Vision on the NVIDIA Jetson with alwaysAI
NVIDIA Developer
43 Securing Next Generation Apps over VMware Cloud Foundation with Bluefield-2 DPU
Securing Next Generation Apps over VMware Cloud Foundation with Bluefield-2 DPU
NVIDIA Developer
44 Accelerated Data Centers with NVIDIA and VMware
Accelerated Data Centers with NVIDIA and VMware
NVIDIA Developer
45 GPU-Accelerated Motion Blur in Blender Cycles
GPU-Accelerated Motion Blur in Blender Cycles
NVIDIA Developer
46 NVIDIA Clara Guardian Virtual Patient Assistant
NVIDIA Clara Guardian Virtual Patient Assistant
NVIDIA Developer
47 Revolutionizing Supercomputing with NVIDIA UFM Cyber-AI
Revolutionizing Supercomputing with NVIDIA UFM Cyber-AI
NVIDIA Developer
48 Inventing Virtual Meetings of Tomorrow with NVIDIA AI Research
Inventing Virtual Meetings of Tomorrow with NVIDIA AI Research
NVIDIA Developer
49 Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
NVIDIA Developer
50 Getting started with Jetson Nano 2GB Developer Kit
Getting started with Jetson Nano 2GB Developer Kit
NVIDIA Developer
51 NVIDIA Jetson Developer Community AI Projects
NVIDIA Jetson Developer Community AI Projects
NVIDIA Developer
52 Open-source projects on NVIDIA Jetson Nano 2GB Developer Kit
Open-source projects on NVIDIA Jetson Nano 2GB Developer Kit
NVIDIA Developer
53 Real-Time Ray Tracing with Project Lavina
Real-Time Ray Tracing with Project Lavina
NVIDIA Developer
54 Jetson AI Fundamentals - S1E2 - Hello Camera
Jetson AI Fundamentals - S1E2 - Hello Camera
NVIDIA Developer
55 Develop Optimized Conversational AI Models with NVIDIA NeMo on DGX A100
Develop Optimized Conversational AI Models with NVIDIA NeMo on DGX A100
NVIDIA Developer
56 Jetson AI Fundamentals - S1E4 - Image Regression Project
Jetson AI Fundamentals - S1E4 - Image Regression Project
NVIDIA Developer
57 Jetson AI Fundamentals - S2E1 - JetBot Intro and Hardware
Jetson AI Fundamentals - S2E1 - JetBot Intro and Hardware
NVIDIA Developer
58 Jetson AI Fundamentals - S2E2 - JetBot Software Setup
Jetson AI Fundamentals - S2E2 - JetBot Software Setup
NVIDIA Developer
59 Jetson AI Fundamentals - S1E1 - First Time Setup with JetPack
Jetson AI Fundamentals - S1E1 - First Time Setup with JetPack
NVIDIA Developer
60 Jetson AI Fundamentals - S1E3 - Image Classification Project
Jetson AI Fundamentals - S1E3 - Image Classification Project
NVIDIA Developer

The video showcases how NVIDIA CloudXR and RTX A5000 enable the visualization of complex simulation data, allowing designers to experience and validate high-fidelity data in real-time. This technology has the potential to transform the AEC design process. By leveraging CloudXR and RTX A5000, architects, engineers, and designers can make more informed decisions and create more efficient and safe designs.

Key Takeaways
  1. Stream VR/AR/MR content from any OpenVR/XR application using NVIDIA CloudXR
  2. Leverage NVIDIA RTX A5000 for high-performance computing and rendering
  3. Visualize simulation data in real-time and at real-world scale
  4. Apply virtual and augmented reality in design to enhance collaboration and decision-making
  5. Use CloudXR and RTX A5000 to validate and experience high-fidelity simulation data in context to the project site
💡 The combination of NVIDIA CloudXR and RTX A5000 enables the streaming of high-quality, immersive VR/AR/MR content, allowing designers to experience and validate complex simulation data in real-time and at real-world scale.

Related Reads

📰
Broadcom extends its Apple chip work through 2031 in a fresh custom-silicon deal
Broadcom extends its custom-silicon deal with Apple through 2031, solidifying a key supplier relationship in consumer electronics
The Next Web AI
📰
How Nations Are Deploying AI for Strategic Priorities
Learn how nations are leveraging AI to drive strategic priorities and economic growth
NVIDIA AI Blog
📰
There Are Three Levels of Using AI. Most People Are Stuck on Level One.
Learn the three levels of using AI to improve output quality and move beyond basic usage
Medium · AI
📰
"AI Can’t Replace Humans" Might Be the Most Dangerous Career Advice of This Decade.
Relying on the idea that AI can't replace humans might be a career-threatening mindset, as it ignores the rapid advancements in automation and AI capabilities
Medium · AI
Up next
In the case of AI, leadership can create urgency but it simply cannot force adoption from a room
Steno
Watch →