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GTC ON-DEMAND

Topic(s) Filter: GPU Virtualization
Presentation
Media
Abstract:
Clinical staff need the ability to access cardiology imagery at anytime of day, and sometimes in very low bandwidth situations. Cerner identified this need and took efforts to build a solution to deliver high-performance graphics computing centered i ...Read More
Abstract:
Clinical staff need the ability to access cardiology imagery at anytime of day, and sometimes in very low bandwidth situations. Cerner identified this need and took efforts to build a solution to deliver high-performance graphics computing centered in the data center rather than having a physical machine present. The Cerner SkyVue Cardiology application traditionally requires higher performance workstations with substantial graphics cards. By centrally locating these within data centers, clinical staff can access the application from any workstation or mobile device with VMware Horizon View and NVIDIA GRID as the enabling technology.  Back
 
Topics:
GPU Virtualization, Medical Imaging and Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8394
Streaming:
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Abstract:
Gartner states that user experience is the single more important predictor of VDI success. From design and engineering workflows evolving and becoming more complex, to the new performance challenges Windows 10 brings, traditional performance metrics ...Read More
Abstract:
Gartner states that user experience is the single more important predictor of VDI success. From design and engineering workflows evolving and becoming more complex, to the new performance challenges Windows 10 brings, traditional performance metrics can no longer capture true user experience. NVIDIA has taken standard testing to the next level, enabling customers to achieve successful enterprise-wide VDI deployments. Join this session to learn more about real user testing and scientific data showing the impact of NVIDIA virtual GPU to the overall user experience. You will discover how we are executing and automating performance tests. Workflows, real test metrics, and conclusions will be shared with you. Use this information to help size vGPU environment today.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8761
Streaming:
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Abstract:
By harnessing the power of NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS), Citrix XenDesktop and Enlightened Data Transport protocol, Gensler enabled global collaboration across 50 offices worldwide. Designers are very creative and ...Read More
Abstract:

By harnessing the power of NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS), Citrix XenDesktop and Enlightened Data Transport protocol, Gensler enabled global collaboration across 50 offices worldwide. Designers are very creative and collaborative individuals and their workflow demands the most powerful CPU and GPU compute available. Trying to compensate for high latency networks with wide area file caching is no longer the answer. Consolidation and centralized data combined with NVIDIA vGPU enabled VDI infrastructure is what we believe is the solution. We have built a globally accessible virtual office that our designers confidently use to create more complex projects for our clients.

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Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8821
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Abstract:
A shared physical graphics processor unit (GPU) exposed to virtual guests as a virtual GPU drastically changes the dynamics of what is possible from both a technical and monetary standpoint in high tech virtual workstations. You are able to run ...Read More
Abstract:

A shared physical graphics processor unit (GPU) exposed to virtual guests as a virtual GPU drastically changes the dynamics of what is possible from both a technical and monetary standpoint in high tech virtual workstations. You are able to run lots of GPU based workloads in multiple VMs on one host utilizing NVIDIA Tesla cards. Attendees will learn about vGPU technology, Virtual Function IO (VFIO) and associated roadmaps.

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Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8806
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Abstract:
Building on the somewhat unlikely success of our vGPU-accelerated Linux virtual desktops, DigitalGlobe is teaming up with NVIDIA and Nutanix to replace an ailing Windows 7 VDI environment that has been unable to keep up with the company's de ...Read More
Abstract:

Building on the somewhat unlikely success of our vGPU-accelerated Linux virtual desktops, DigitalGlobe is teaming up with NVIDIA and Nutanix to replace an ailing Windows 7 VDI environment that has been unable to keep up with the company's demands of it. As the world leader in commercial satellite imagery and data, DigitalGlobe has continually challenged the limits of virtual desktops. By leveraging NVIDIA GRID technology, we've been able to step beyond niche use-cases for VDI and broaden adoption across the company while leaving multiple avenues open for us to fulfill a rapidly broadening customer base.

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Topics:
GPU Virtualization, Federal
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8257
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Abstract:
We'll present a case study on four years of virtual desktop infrastructure and vGPU in an over 50 person architectural/engineering/construction firm from testing, design, and proof of concept to deployment of the latest Pascal-powered setup ...Read More
Abstract:

We'll present a case study on four years of virtual desktop infrastructure and vGPU in an over 50 person architectural/engineering/construction firm from testing, design, and proof of concept to deployment of the latest Pascal-powered setup in production. We'll go over the progressions of vGPU alongside the XenDesktop environment as it relates to delivering AutoCAD, Revit, and Sketchup, as well as knowledge worker apps for our employees. We'll explain why we made the decisions we did and help inform others on the same path.

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Topics:
GPU Virtualization, Product & Building Design
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8691
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Abstract:
Learn how CannonDesign leverages a multiuser VR environment to create shared experiences for collaboration in architectural building models. During this presentation, we''ll cover the build of the environment, basic configuration, and ho ...Read More
Abstract:

Learn how CannonDesign leverages a multiuser VR environment to create shared experiences for collaboration in architectural building models. During this presentation, we''ll cover the build of the environment, basic configuration, and how it was put into production. We''ll also explore an overview of some of the software being used, and use cases for both local and remote collaboration.

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Topics:
GPU Virtualization, Virtual Reality and Augmented Reality
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8244
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Abstract:
The number of virtualized workloads that require hardware acceleration of graphics continues to grow in the data center. From the most demanding 3D applications used by designers and engineers to the rich media content in web browsers and office prod ...Read More
Abstract:
The number of virtualized workloads that require hardware acceleration of graphics continues to grow in the data center. From the most demanding 3D applications used by designers and engineers to the rich media content in web browsers and office productivity applications used by power users and knowledge workers. Learn about the latest innovations from Citrix and NVIDIA that continue to push the limits on what is possible with graphics virtualization.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8675
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Abstract:
A guest of this session will learn about considerations regarding mixing VDI and computational workloads on commercially available hypervisors such as VMware vSphere and the limitations of doing so. Current GPU capabilities will be discussed as appli ...Read More
Abstract:
A guest of this session will learn about considerations regarding mixing VDI and computational workloads on commercially available hypervisors such as VMware vSphere and the limitations of doing so. Current GPU capabilities will be discussed as applied to various industries.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8426
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Abstract:
You'll learn about enabling virtualized GPUs for machine learning workloads on VMware vSphere and combining GPU performance with data center management benefits of VMware vSphere. NVIDIA's Pascal GPU is the first GPU to offer both virtualized Compu ...Read More
Abstract:
You'll learn about enabling virtualized GPUs for machine learning workloads on VMware vSphere and combining GPU performance with data center management benefits of VMware vSphere. NVIDIA's Pascal GPU is the first GPU to offer both virtualized Compute/CUDA and virtualized Graphics. It supports multiple virtual machines (VM) sharing GPU for both compute and graphics capabilities. We will present our research results of machine learning workloads with vSphere platform using NVIDIA's virtualized GPUs. Learn different ways to deploy GPU-based workloads developed with popular machine learning frameworks like TensorFlow and Caffe using VMware DirectPathIO and NVIDIA vGPU solutions. We will discuss use cases to leverage best scheduling methods Equal Share, Fixed Share and Best Effort for virtualized GPUs and illustrate their benefits via our performance study. We address the scalability of machine learning workloads in term of the number of VMs per vSphere server and the number of GPUs per VM. Data center resource utilization of these workloads on vSphere with NVIDIA GPUs is also analyzed and presented.  Back
 
Topics:
GPU Virtualization, Performance Optimization, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8249
Streaming:
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Abstract:
From virtualization to OpenGL GPU-multicast, we'll cover the full range of NVIDIA technologies available for implementing systems that contain multiple GPUs for real-time graphics applications. Techniques available for leveraging multi-GPU architect ...Read More
Abstract:
From virtualization to OpenGL GPU-multicast, we'll cover the full range of NVIDIA technologies available for implementing systems that contain multiple GPUs for real-time graphics applications. Techniques available for leveraging multi-GPU architectures range from fully implicit (e.g., GRID) to fully explicit (e.g., GPU affinity and multicast). We'll discuss the specific advantages of each approach, along with examples for how each method can be implemented. We'll also cover synchronization and streaming.  Back
 
Topics:
GPU Virtualization, Virtual Reality and Augmented Reality, Real-Time Graphics
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8205
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Abstract:
NVIDIA vGPU Community Advisors Ruben Spruijt and Benny Tritsch present their latest findings on benchmarking user experience performance in NVIDIA vGPU-accelerated environments hosted on-premises and in the cloud. Get in-depth information on the late ...Read More
Abstract:
NVIDIA vGPU Community Advisors Ruben Spruijt and Benny Tritsch present their latest findings on benchmarking user experience performance in NVIDIA vGPU-accelerated environments hosted on-premises and in the cloud. Get in-depth information on the latest versions of Citrix XenApp/XenDesktop, VMware Horizon and Microsoft RDS when accelerated by NVIDIA GPUs. What is the performance impact caused by remoting protocol settings, latency and common WAN scenarios? Hundreds of recorded screen videos and telemetry data sets, combined with a unique visualisation tool, allow Ruben and Benny to analyse and compare the performance of selected NVIDIA vGPU-accelerated remote desktops and VDI scenarios, live on stage.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8165
Streaming:
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Abstract:
Higher education continues to face challenges as a more geographically distributed student body grows and expands to include more nontraditional students. Combinations of on-campus and online courses are being deployed to meet student needs, and IT d ...Read More
Abstract:
Higher education continues to face challenges as a more geographically distributed student body grows and expands to include more nontraditional students. Combinations of on-campus and online courses are being deployed to meet student needs, and IT departments must adapt to support the increasing variety of end-user devices, tools needed by students and faculty, and demands for remote access to graphics-intensive applications. GPU-enabled VDI made the grade to deliver cutting-edge performance beyond the physical computing labs at USC Viterbi School of Engineering. We'll describe the strategies and path USC Viterbi took to implement GPU-enabled VDI that boosts student academic success while reducing desktop support, management, and security costs.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8199
Streaming:
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Abstract:
GPUs provide power-efficient hardware acceleration for graphics processing and deep learning algorithms, making them the ideal compute processors for highly automated driving functionalities. Despite the predominance of GPUs in the development of pro ...Read More
Abstract:
GPUs provide power-efficient hardware acceleration for graphics processing and deep learning algorithms, making them the ideal compute processors for highly automated driving functionalities. Despite the predominance of GPUs in the development of prototypes, the actual market penetration of GPUs in series-production electronic control units (ECUs) remains comparably low. In this talk we will focus on a key contributor to this problem: deficient support for integration into the design processes of the automotive supply chain and automotive software standards.  Back
 
Topics:
Autonomous Vehicles, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8851
Streaming:
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Abstract:
Learn how to use containers for efficient GPU utilization to achieve bare-metal performance for computationally intensive workloads. We'll show how NVIDIA tools and libraries can be used to achieve drop-in GPU support and efficient GPU feature integ ...Read More
Abstract:
Learn how to use containers for efficient GPU utilization to achieve bare-metal performance for computationally intensive workloads. We'll show how NVIDIA tools and libraries can be used to achieve drop-in GPU support and efficient GPU feature integration for container runtimes, and illustrate how to leverage system containers to run complex statistical models on NVIDIA GPUs.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8338
Streaming:
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Abstract:
Learn about the requirements gathering, solution analysis, benchmarking, and user testing techniques we implemented to decide on a virtual workstation configuration that met all the requirements for our CAD users, while meeting the density requi ...Read More
Abstract:

Learn about the requirements gathering, solution analysis, benchmarking, and user testing techniques we implemented to decide on a virtual workstation configuration that met all the requirements for our CAD users, while meeting the density requirements to remain cost-effective. DENSO International America began investigating the feasibility of implementing CAD on VDI to simplify its workstation ecosystem in 2013. Several options were explored, but it wasn't until NVIDIA Quadro vDWS was released that we found a solution that met our performance and density requirements. We'll discuss our journey from vSGA/vDGA to vGPU. Starting with Kepler, through the latest Pascal architecture, we've performed benchmarking and user testing of each to demonstrate the benefit of each.

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Topics:
Computer Aided Engineering, Product & Building Design, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8435
Streaming:
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Abstract:
Learn the benefits that virtualization provides for an architecture and engineering design firm, along with the journey through the advancements in virtualization technology it took to finally meet the graphics-intensive needs of our design software. ...Read More
Abstract:
Learn the benefits that virtualization provides for an architecture and engineering design firm, along with the journey through the advancements in virtualization technology it took to finally meet the graphics-intensive needs of our design software. We'll share our experiences in how virtualization allows a large company, with over 15 offices and 1,000 people worldwide, to collaborate and work as a single firm. We'll show some cost comparisons with virtualization, along with their management benefits and requirements. We'll also look at the methods we used to set and test metrics specific to our requirements, and follow the results of those metrics through the changes in graphics virtualization technology.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8240
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Abstract:
Autodesk has many well known, and large products. Our Engineering and Development teams run development and testing across a wide variety of operating systems, and across versions of current, and older products. Many Developers have secondary systems ...Read More
Abstract:
Autodesk has many well known, and large products. Our Engineering and Development teams run development and testing across a wide variety of operating systems, and across versions of current, and older products. Many Developers have secondary systems, or in some cases 3, 4 and beyond. Most systems had high end NVIDIA graphics cards. As is the nature of development, these secondary and other systems were used in cycles. Often lying idle for weeks at a time. And despite the need for graphics in our products, we found that developers only used 50% of their graphics resources in their development cycle. By virtualizing those additional workstations, the graphics, cpu and other resources were used more efficiently. And, by not replacing the physical systems every 3 years, our cost avoidance rose rapidly. By early 2017, we were hearing from our customers that they wanted Autodesk to provide the same kind of service to them. We are in Pilot with a Platform that will provide this service to our Enterprise customers. Behind the successful virtualization of desktops is a people story. Mindsets, culture and skill sets had to evolve and change.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8916
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Abstract:
Discussion and demonstration of the potential with running HPC, and VDI workloads on common clusters for a modern a datacenter Dr. Jekyll and Mr. Hyde scenario. Explore the coexistence of CUDA based HPC job engines in conjunction with both Linux and ...Read More
Abstract:
Discussion and demonstration of the potential with running HPC, and VDI workloads on common clusters for a modern a datacenter Dr. Jekyll and Mr. Hyde scenario. Explore the coexistence of CUDA based HPC job engines in conjunction with both Linux and Windows machines used for virtual desktop infrastructure. The demonstration will focus on a very minimal VMware cluster deployment using VSAN storage to host both the Linux HPC multi node cluster for CUDA workloads and a VMware Horizon view deployment for Linux and Windows Virtual Desktops performing DirectX, OpenGL, and CUDA based visualization workloads as used by engineering and analysis power users.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8209
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Abstract:
With the switch to Windows 10, more applications are being developed with the assumption of a GPU being present. GPUs are in our desktops, laptops, tablets, and even in the mobile phones in our pockets. Why should VDI be any different? Come see how t ...Read More
Abstract:
With the switch to Windows 10, more applications are being developed with the assumption of a GPU being present. GPUs are in our desktops, laptops, tablets, and even in the mobile phones in our pockets. Why should VDI be any different? Come see how the University of Arkansas is giving everyone the fastest possible experience and opening doors to new ways of learning by serving up VDI desktops and applications with pervasive GPU access. When every app has GPU acceleration, the user experience is better than ever.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8543
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Abstract:
AEC firms are turning to GPU cloud workstations for greater agility, security and competitive advantage. Mead & Hunt achieved these benefits using Workspot''s Workstation Cloud on Microsoft Azure. Attend this session to hear about their journey a ...Read More
Abstract:
AEC firms are turning to GPU cloud workstations for greater agility, security and competitive advantage. Mead & Hunt achieved these benefits using Workspot''s Workstation Cloud on Microsoft Azure. Attend this session to hear about their journey and how they quickly met the needs of both IT and their power users. Mead & Hunt provides innovative engineering, construction and energy solutions. To sustain its leadership as one of the top design-build firms in the U.S, Mead & Hunt needs the best talent in the world, but opening multiple offices to support personnel across geographies is prohibitively complex. Mead & Hunt was unable to find a viable solution that would allow users to remotely access their BIM tools, including Autodesk Revit and Navisworks. Workspot Workstation Cloud on Microsoft Azure, powered by NVIDIA GPUs, was the answer. Now Mead & Hunt designers, engineers, and finishers can collaborate in real-time - whether from the project site, the office, or from home. These power users now securely access BIM tools from anywhere, and IT can provision a new user within minutes. Learn how Mead & Hunt transformed its business with Workspot, Microsoft Azure, and NVIDIA.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8774
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Abstract:
You''ve just been tasked with deploying the NVIDIA CUDA Toolkit to a group of developers. Wouldn''t it be great if you could save time deploying it, protect the developers work, reduce the amount of unique workstation hardware needed, & get more ...Read More
Abstract:
You''ve just been tasked with deploying the NVIDIA CUDA Toolkit to a group of developers. Wouldn''t it be great if you could save time deploying it, protect the developers work, reduce the amount of unique workstation hardware needed, & get more out of your hardware investment? This session will show how this can be done with VMware Horizon Virtual Desktops leveraging vGPUs and the CUDA Toolkit. The CUDA Toolkit is a core component of most developer''s desktops and provides the underpinnings for many development operations that take advantage of GPU technology. It can, and often is, difficult to install on Virtual Machines. We will walk through its deployment on Linux virtual machines, insuring requirements for both the CUDA Toolkit & VMware Horizon with vGPU are met.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8483
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Abstract:
We''ll focus on the key requirements and benefits of using Linux VDIs for chip design applications such as cadence allegro, PTC creao, etc. Currently there is a huge interest in this space for GPU accelerated VDIs specially with Linux as OS since &qu ...Read More
Abstract:
We''ll focus on the key requirements and benefits of using Linux VDIs for chip design applications such as cadence allegro, PTC creao, etc. Currently there is a huge interest in this space for GPU accelerated VDIs specially with Linux as OS since "exceed on demand" and other applications are out dated and quite expensive to operate. We will discuss some use cases both with VMWare and Citrix and after receiving permission for few customers their names as current users. A live demo will be followed at the end and Q&A.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8175
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Abstract:
Enterprise Digital Workspaces support diverse workloads including virtual desktops, deep learning, big data. Nvidia GPUs bring high performance computing (HPC) for graphics, GPGPU, especially machine learning workloads. They also provide HW encode an ...Read More
Abstract:
Enterprise Digital Workspaces support diverse workloads including virtual desktops, deep learning, big data. Nvidia GPUs bring high performance computing (HPC) for graphics, GPGPU, especially machine learning workloads. They also provide HW encode and decode to accelerate the processing of video contents. In this session, we will explore performance and resource utilization of various workloads that leverage different capabilities of GPU like graphics, compute and H.264 HW encode / decode. Nvidia virtualized GPUs and VMware vSphere brings in tremendous combined benefits for both GPU-based workloads and data center management via virtualization. We will present results of our research on running diverse workloads on vSphere platform using Nvidia GRID GPUs. We explore vSphere features of Suspend/Resume and vMotioning of vGPU based virtual machines. We will quantify benefits of vGPU for data center management using VMware vSphere and describe techniques for efficient management of workloads and datacenter resources.  Back
 
Topics:
Data Center and Cloud Infrastructure, GPU Virtualization, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8250
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Abstract:
The session describes, Indexed 3d Scene Layers (I3S), Esri's 3D streaming solution for massive amounts of heterogeneously distributed geospatial data for an interactive experience for web, desktop, mobile and embedded clients. I3S, recently adopted ...Read More
Abstract:
The session describes, Indexed 3d Scene Layers (I3S), Esri's 3D streaming solution for massive amounts of heterogeneously distributed geospatial data for an interactive experience for web, desktop, mobile and embedded clients. I3S, recently adopted as an open standard by the Open Geospatial Consortium (OGC), supports storage and transmission of very large data consisting of millions of discrete 3D objects with attributes as well as integrated surface meshes that may cover many thousands of square miles. Ability to stream millions of triangles and billions of point cloud, regardless of platform constraints, has opened a new 3D graphics and visual computing front in the geospatial world, where there is an increasing demand for high quality 3D application. Principles and concepts for organizing geospatial data based on bounding volume hierarchy (BVH), various spatial subdivision algorithms, efficient mesh, point cloud and texture compression/decompression techniques will be explored while keeping the content friendly to GPUs. Optimization techniques in data preparation for visualization and considerations for GPU accelerated virtualized environments will be covered with use cases.  Back
 
Topics:
GIS, Seismic and Geosciences, Product & Building Design, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8510
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Abstract:
Watch leading Healthcare AI Startups compete for cash prizes at the NVIDIA GTC 2018 Inception Awards Finale.
 
Topics:
Deep Learning and AI, GPU Virtualization
Type:
Special Event
Event:
GTC Silicon Valley
Year:
2018
Session ID:
SE0008A
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Abstract:
Watch leading Enterprise AI Startups compete for cash prizes at the NVIDIA GTC 2018 Inception Awards Finale
 
Topics:
Deep Learning and AI, GPU Virtualization
Type:
Special Event
Event:
GTC Silicon Valley
Year:
2018
Session ID:
SE0008B
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Abstract:
Watch leading Autonomous Systems AI Startups compete for cash prizes at the NVIDIA GTC 2018 Inception Awards Finale
 
Topics:
Deep Learning and AI, GPU Virtualization
Type:
Special Event
Event:
GTC Silicon Valley
Year:
2018
Session ID:
SE0008C
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