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GTC ON-DEMAND

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Abstract:
Universities have increasing demand for Deep Learning/AI classrooms or labs but are constrained by cost and availability of physical classroom labs. Students require access to a lab 24x7 to work on projects and assignments and find that they have to wait for HPC clusters to be free when submitting their jobs for training. In the past, students and researchers are tethered and require expensive data scientist workstations. Virtual GPUs provide a highly secure, flexible, accessible solution to power AI and deep learning coursework and research. Learn how Nanjing University is using virtual vGPUs with NGC for teaching AI and Deep learning courses, empowering researchers with the GPU power they need, and providing students with mobility to do coursework anywhere. Similarly, discover how other universities are maximizing their data center resources by running VDI, HPC and AI workloads on common infrastructure and even how companies like Esri are using virtualized deep learning classes to educate their user base. Discover the benefits of vGPUs for AI and how you can setup your environment to achieve optimum performance, as well as the tools you can use to manage and monitor your environment as you scale.
Universities have increasing demand for Deep Learning/AI classrooms or labs but are constrained by cost and availability of physical classroom labs. Students require access to a lab 24x7 to work on projects and assignments and find that they have to wait for HPC clusters to be free when submitting their jobs for training. In the past, students and researchers are tethered and require expensive data scientist workstations. Virtual GPUs provide a highly secure, flexible, accessible solution to power AI and deep learning coursework and research. Learn how Nanjing University is using virtual vGPUs with NGC for teaching AI and Deep learning courses, empowering researchers with the GPU power they need, and providing students with mobility to do coursework anywhere. Similarly, discover how other universities are maximizing their data center resources by running VDI, HPC and AI workloads on common infrastructure and even how companies like Esri are using virtualized deep learning classes to educate their user base. Discover the benefits of vGPUs for AI and how you can setup your environment to achieve optimum performance, as well as the tools you can use to manage and monitor your environment as you scale.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9888
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Abstract:
This presentation will show how NVIDIA® GRID K1 and K2 boards benefit Esri ArcGIS Pro, a newly developed 3D GIS platform using DirectX and OpenGL, in Hyper-V, XenDesktop, XenApp and Horizon View virtualized environments. We will show the FPS, elapsed time, virtual GPU configurations and other usability metrics for each virtualized environment configured with NVIDIA® GRID K1 and K2 boards. The attendee will see how the environment scaled while providing and acceptable user experience and what the density per GPU was achieved. Also the capabilities of cloud-based VDI environments configured with NVIDIA® GRID boards to support graphics applications will be discussed and demonstrated. The attendee will see live demonstrations of the user experience in these virtualized environments.
This presentation will show how NVIDIA® GRID K1 and K2 boards benefit Esri ArcGIS Pro, a newly developed 3D GIS platform using DirectX and OpenGL, in Hyper-V, XenDesktop, XenApp and Horizon View virtualized environments. We will show the FPS, elapsed time, virtual GPU configurations and other usability metrics for each virtualized environment configured with NVIDIA® GRID K1 and K2 boards. The attendee will see how the environment scaled while providing and acceptable user experience and what the density per GPU was achieved. Also the capabilities of cloud-based VDI environments configured with NVIDIA® GRID boards to support graphics applications will be discussed and demonstrated. The attendee will see live demonstrations of the user experience in these virtualized environments.  Back
 
Topics:
GPU Virtualization, Real-Time Graphics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5450
Streaming:
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Abstract:
Let's review your design options to provide access for graphical intense applications MRI, CAD, and others in a virtual desktop environment. In this session, I will demonstrate the benefits of adding NVIDIA GRID cards to dedicate GPU for horizon View applications. Soon you will be able to virtualize the GPU hardware and share it among multiple View desktops. NVIDIA GRID vGPU on VMware vSphere brings the full benefit of virtualized graphics acceleration on NVIDIA GRID. This technology provides exceptional graphics performance for virtual desktops equivalent to local PCs when sharing a GPU among multiple users.
Let's review your design options to provide access for graphical intense applications MRI, CAD, and others in a virtual desktop environment. In this session, I will demonstrate the benefits of adding NVIDIA GRID cards to dedicate GPU for horizon View applications. Soon you will be able to virtualize the GPU hardware and share it among multiple View desktops. NVIDIA GRID vGPU on VMware vSphere brings the full benefit of virtualized graphics acceleration on NVIDIA GRID. This technology provides exceptional graphics performance for virtual desktops equivalent to local PCs when sharing a GPU among multiple users.  Back
 
Topics:
GPU Virtualization
Type:
Panel
Event:
GTC Silicon Valley
Year:
2015
Session ID:
S5542
Streaming:
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Abstract:

The ESRI user community encompasses a wide set of industries, from local and federal government, power utilities, to oil and gas, many are deployed in VDI environments. NVIDIA Grid cards allow those users to take advantage of the 3D graphics now available in our newest GIS analytical product: ArcGIS Pro. This presentation will show results of the performance and scalability testing of ArcGIS Pro in NVIDIA Grid enabled VDI environments. The presentation will include: VDI vendor tools available for admin and tuning, performance and scalability metrics, challenges in designing, developing and testing 3D applications for these environments.

The ESRI user community encompasses a wide set of industries, from local and federal government, power utilities, to oil and gas, many are deployed in VDI environments. NVIDIA Grid cards allow those users to take advantage of the 3D graphics now available in our newest GIS analytical product: ArcGIS Pro. This presentation will show results of the performance and scalability testing of ArcGIS Pro in NVIDIA Grid enabled VDI environments. The presentation will include: VDI vendor tools available for admin and tuning, performance and scalability metrics, challenges in designing, developing and testing 3D applications for these environments.

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Topics:
GPU Virtualization, Graphics and AI, Defense, Desktop & Application Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2014
Session ID:
S4715
Streaming:
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