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GTC ON-DEMAND

Data Center & Cloud Infrastructure
Presentation
Media
Abstract:
vMotion is a feature in VMware vSphere that is used to guarantee continuous availability and uptime in the face of planned outages and maintenance operations. It's now available for virtual machines (VMs) with an NVIDIA GRID GPU. We'll present an o ...Read More
Abstract:
vMotion is a feature in VMware vSphere that is used to guarantee continuous availability and uptime in the face of planned outages and maintenance operations. It's now available for virtual machines (VMs) with an NVIDIA GRID GPU. We'll present an overview of the architecture of vMotion for vGPU-enabled VMs and discuss how it affects performance. We'll also outline potential vMotion uses for load balancing on vGPU-enabled clouds.  Back
 
Topics:
Data Center & Cloud Infrastructure, AI Application, Deployment & Inference
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9411
Streaming:
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Abstract:
Video- and audio-based applications now comprise about 80 percent of Internet traffic, but their quality depends on the network condition. Cloud providers must accurately quantify and monitor video and audio quality so they can maintain the quality o ...Read More
Abstract:
Video- and audio-based applications now comprise about 80 percent of Internet traffic, but their quality depends on the network condition. Cloud providers must accurately quantify and monitor video and audio quality so they can maintain the quality of these applications while optimizing cloud resource usage. We'll describe our solution, which uses deep neural networks to measure the quality of video and audio, and demonstrate how we measure the quality of streaming video and audio using VMware Horizon virtual desktops. We'll present our research results showing the capabilities of the latest NVIDIA Pascal and Volta GPUs and NVIDIA GRID on VMware vSphere to accelerate the deep learning-based measurement task for our large-scale performance monitoring need. We will also cover the benefits of using NVIDIA GRID to improve the performance of our application without changing the number of GPUs in the system.  Back
 
Topics:
Data Center & Cloud Infrastructure, AI Application, Deployment & Inference, Accelerated Data Science
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9435
Streaming:
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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 & Cloud Infrastructure, GPU Virtualization, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8209
Streaming:
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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 & 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 & Cloud Infrastructure, GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8175
Streaming:
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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 & Cloud Infrastructure, GPU Virtualization, HPC and AI
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8250
Streaming:
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Abstract:
In this session, NVIDIA GRID Community Advisors Ruben Spruijt and Benny Tritsch present their latest findings on benchmarking user experience performance in GRID-accelerated environments hosted on-premises and in the cloud. Get in-depth informat ...Read More
Abstract:

In this session, NVIDIA GRID Community Advisors Ruben Spruijt and Benny Tritsch present their latest findings on benchmarking user experience performance in GRID-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 GRID-accelerated remote desktops and VDI scenarios, live on stage.

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Topics:
Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23086
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GPU Virtualization
Presentation
Media
Abstract:
Are you planning to deploy virtual desktops or in the middle of a struggling virtual desktop project? We were there three years ago. We lacked buy-in from executives, IT support, or users. If you are planning a virtual desktop infrastructure (VDI) de ...Read More
Abstract:
Are you planning to deploy virtual desktops or in the middle of a struggling virtual desktop project? We were there three years ago. We lacked buy-in from executives, IT support, or users. If you are planning a virtual desktop infrastructure (VDI) deployment or challenged by your current configuration, this session outlines the critical factors for success. We describe how to correct a languishing VDI implementation through engagement with leadership, VMware expertise, Agile scrum techniques, ITIL and project management best practices. Our talk will include technical details about our environment and how we achieved broad success.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9219
Streaming:
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Abstract:
End-to-end machine learning workloads perform well using NVIDIA virtual GPUs in VMware vSphere. We'll discuss how to combine the performance of NVIDIA GPUs with manageability and scalability features and maximize GPU utilization for machine learning ...Read More
Abstract:
End-to-end machine learning workloads perform well using NVIDIA virtual GPUs in VMware vSphere. We'll discuss how to combine the performance of NVIDIA GPUs with manageability and scalability features and maximize GPU utilization for machine learning workloads using VMware and NVIDIA technology. We will outline end-to-end machine learning, including training, deploying for inferencing, and managing a production environment using VMware vSphere and VMware's Pivotal Kubernetes Service. NVIDIA Turing architecture is positioned for mixed-precision training and inferencing workloads. We'll describe ways to deploy GPU-Based workloads developed with machine learning frameworks like TensorFlow and Caffe2 by using VMware DirectPathIO and NVIDIA virtual GPU (vGPU). We'll also provide case studies that leverage vGPU scheduling options such as Equal Share, Fixed Share, and Best Effort, and illustrate their benefits with our performance study.  Back
 
Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9815
Streaming:
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Abstract:
VDI users across multiple industries can now harness the power of the world's most advanced virtual workstation to enable increasingly demanding workflows. This session brings together graphics virtualization thought leaders and experts from ...Read More
Abstract:

VDI users across multiple industries can now harness the power of the world's most advanced virtual workstation to enable increasingly demanding workflows. This session brings together graphics virtualization thought leaders and experts from across the globe who have deep knowledge of NVIDIA virtual GPU architecture and years of experience implementing VDI across multiple hypervisors. Panelists will discuss how they transformed organizations, including how they leveraged multi-GPU support to boost GPU horsepower for photorealistic rendering and data-intensive simulation and how they used GPU-Accelerated deep learning or HPC VDI environments with ease using NGC containers.

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Topics:
GPU Virtualization
Type:
Panel
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9870
Streaming:
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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 or Deep Learning job engines in conjunctio ...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 or Deep Learning job engines in conjunction with both Linux and Windows machines used for virtual desktop infrastructure. The demonstration will focus on a very minimal VMware vSphere cluster deployment using VSAN storage or RedHat RHVM cluster deployment to host both the Linux HPC multi node cluster for CUDA workloads and a VMware Horizon view or Citrix XenDesktop deployment for Linux and Windows Virtual Desktops performing DirectX, OpenGL, OpenCL, and CUDA based visualization workloads as used by engineering and analysis power users.

  Back
 
Topics:
GPU Virtualization, HPC and Supercomputing
Type:
Talk
Event:
GTC Washington D.C.
Year:
2018
Session ID:
DC8107
Streaming:
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Abstract:
When talking about GPU benchmarking and making the right choice of GPU for your organisation or workload, you'll probably think of using fancy benchmark tools. But there is a much more fun and low-cost way to do so. This session is about how ...Read More
Abstract:

When talking about GPU benchmarking and making the right choice of GPU for your organisation or workload, you'll probably think of using fancy benchmark tools. But there is a much more fun and low-cost way to do so. This session is about how to benchmark and make a GPU choice with the game Skyrim. It's a very low level way of testing using the NVIDIA-smi on the hypervisor and Powershell in the Windows VDI. Make your own charts with the information you collect yourself. This session is based on Windows 10 VDI, and VMware vSphere 6.7.

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Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8155
Streaming:
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Abstract:
What if you could combine VDI, HPC, Deep Learning and AI all together on one platform with VMware vSphere 6.7 and NVIDIA virtual GPU (vGPU) technology? In this session, we'll guide you through how to set up a uniform, well-performing platfor ...Read More
Abstract:

What if you could combine VDI, HPC, Deep Learning and AI all together on one platform with VMware vSphere 6.7 and NVIDIA virtual GPU (vGPU) technology? In this session, we'll guide you through how to set up a uniform, well-performing platform. We will cover the virtualisation of HPC, the sharing of compute resources with VDI, and the implementation of mixed workloads leveraging NVIDIA vGPU technology, and automation of the platform. If you want to have fun at work while preparing for the the future, don't miss this N3RD session!

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Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Europe
Year:
2018
Session ID:
E8156
Streaming:
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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 & Radiology
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8394
Streaming:
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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
Streaming:
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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:
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:
Learn why EVERY remote user should have GPU resources available to them. We'll discuss the advantages end-users experience once their virtual desktops/sessions have GPU capabilities. Recent data from the NVIDIA GRID Performance Engineering t ...Read More
Abstract:

Learn why EVERY remote user should have GPU resources available to them. We'll discuss the advantages end-users experience once their virtual desktops/sessions have GPU capabilities. Recent data from the NVIDIA GRID Performance Engineering team shows a significant impact GPUs like the Tesla M10 has on knowledge workers. The data includes real user testing and scientific data like latency, bandwidth, and CPU utilization, which all play a significant role in the overall user experience.

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Topics:
GPU Virtualization, Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7181
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Abstract:
Efficient deployment of GPU-based machine learning, especially deep learning, in cloud environments is an important focus of research and development. As the leader in cloud infrastructure software, VMware provides multiple solutions that optimize pe ...Read More
Abstract:
Efficient deployment of GPU-based machine learning, especially deep learning, in cloud environments is an important focus of research and development. As the leader in cloud infrastructure software, VMware provides multiple solutions that optimize performance and enhance flexibility for machine learning workloads. We'll present the results of our research on machine learning with NVIDIA GPUs on VMware's vSphere platform. Learn different ways to deploy GPU-based workloads developed with popular machine learning frameworks like TensorFlow and Torch in a virtualized environment using VMware DirectPath I/O and NVIDIA GRID vGPU solutions. We'll discuss how to mix workloads to maximize resource utilization and deployment flexibility by running machine learning together with other workloads on the same server. Finally, we'll analyze the performance characteristics of machine learning with GPUs for multiple use cases and at different scales in virtualized cloud data centers.  Back
 
Topics:
GPU Virtualization, Data Center & Cloud Infrastructure, Artificial Intelligence and Deep Learning
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7216
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Abstract:
You've just been tasked with building a Linux VDI environment for an engineering team with graphics requirements. Now what? Join an NVIDIA GRID Community Advisor to learn the basics of setting up Linux VDI desktops with GPU capabilities and ...Read More
Abstract:

You've just been tasked with building a Linux VDI environment for an engineering team with graphics requirements. Now what? Join an NVIDIA GRID Community Advisor to learn the basics of setting up Linux VDI desktops with GPU capabilities and see the results we captured when we built it in the lab. This is a session for those wanting to get started with Linux virtual desktops that need GPU capabilities.

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Topics:
GPU Virtualization
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7349
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Abstract:
Discover the benefits of virtualizing any desktop or application using VMware Horizon and NVIDIA GRID. Learn about how NVIDIA GRID and VMware Blast Extreme Adaptive Transport now delivers a transformational user experience for LAN and WAN users, ...Read More
Abstract:

Discover the benefits of virtualizing any desktop or application using VMware Horizon and NVIDIA GRID. Learn about how NVIDIA GRID and VMware Blast Extreme Adaptive Transport now delivers a transformational user experience for LAN and WAN users, understanding graphics use cases enabled by Blast Extreme, NVIDIA GRID Performance Engineering benchmarking and results for Blast Extreme Adaptive Transport, and high-performance graphics environment demos (considering SxS for this) deployment and TCO considerations.

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Topics:
GPU Virtualization, Data Center & Cloud Infrastructure
Type:
Talk
Event:
GTC Silicon Valley
Year:
2017
Session ID:
S7763
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Abstract:
Horovod is a distributed ML training platform. In this talk we will look at a proof of concept that leverages NVIDIA vGPU & Mellanox high speed networking on vSphere. We will discuss the benefits, the efficiency and agility that the solution ...Read More
Abstract:

Horovod is a distributed ML training platform. In this talk we will look at a proof of concept that leverages NVIDIA vGPU & Mellanox high speed networking on vSphere. We will discuss the benefits, the efficiency and agility that the solution brings to ML infrastructure.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9045
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Abstract:
Enabling access to NVIDIA compute acceleration is an key component of VMware's approach to enabling HPC and ML workloads on vSphere. In this talk we will discuss the various available options, provide performance results, and share some hard ...Read More
Abstract:

Enabling access to NVIDIA compute acceleration is an key component of VMware's approach to enabling HPC and ML workloads on vSphere. In this talk we will discuss the various available options, provide performance results, and share some hardware and software tips and guidance to help you meet the needs of your organization's data scientists and researchers.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9046
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Abstract:
Windows 7 is EoL January 2020, Windows 10 is coming and it is a graphics HOG. Windows 10 belongs in the Datacenter, where it is easier to manage and keep secure. NVIDIA graphics in the Datacenter will enhance your end users performance, while IG ...Read More
Abstract:

Windows 7 is EoL January 2020, Windows 10 is coming and it is a graphics HOG. Windows 10 belongs in the Datacenter, where it is easier to manage and keep secure. NVIDIA graphics in the Datacenter will enhance your end users performance, while IGEL ensures any 64-bit x86 device can be used to display your Horizon 7 desktops. Come to learn how to tune your Horizon 7 VDI implementations for optimum users acceptance.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9055
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Abstract:
During this session we'll cover how one of Europe's biggest cancer research hospitals is not only using their End User Computing environment to modernise the way in which their medical professionals work, but also how they are also using ...Read More
Abstract:

During this session we'll cover how one of Europe's biggest cancer research hospitals is not only using their End User Computing environment to modernise the way in which their medical professionals work, but also how they are also using their VMware platform as a force for good. We'll cover how this project came to be and go into detail on their most special use-case: utilising their VDI platform at night by temporarily repurposing the platform to analyse PACS imagery for the oncology department.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9058
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Abstract:
In the first part of this workshop, you will learn about the concepts of machine learning (ML), including inference and training, supervised and unsupervised learning, and deep learning. Bring your laptop to build a neural network model yourself ...Read More
Abstract:

In the first part of this workshop, you will learn about the concepts of machine learning (ML), including inference and training, supervised and unsupervised learning, and deep learning. Bring your laptop to build a neural network model yourself. Gain an understanding of how ML works and what types of problems can be solved with these techniques. You will also see a demo of a data science automation tool to illustrate how ML is used by data scientists. The second part of the workshop will focus on the IT infrastructure needed to support ML, including a detailed discussion of the ways specialized hardware accelerators such as GPUs are enabled on VMware vSphere, along with a discussion of ML performance. Learn about the role of Apache Spark and Hadoop in supporting machine learning.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9062
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Abstract:
Data is changing the way companies do business, driving demand for data scientists and increasing complexity in their workflows. NVIDIA virtual GPU solutions in the data center and the cloud maximizes productivity and performance for data proces ...Read More
Abstract:

Data is changing the way companies do business, driving demand for data scientists and increasing complexity in their workflows. NVIDIA virtual GPU solutions in the data center and the cloud maximizes productivity and performance for data processing, machine learning, and a variety of other data science workloads. NVIDIA RTX capable GPUs and NVIDIA virtualization software along with VMware vSphere provide data scientists the performance they need to transform massive amounts of data into insights and create amazing user experiences in a virtual environment. Learn how you can use NVIDIA RAPIDS for executing end-to-end data science training pipelines using VMware ESXi hypervisor powered by NVIDIA virtual GPU solutions. Bring the power of power of GPU acceleration and maximize data science productivity of your data centers today.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9063
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Abstract:
NVIDIA virtual GPU (vGPU) technology transformed VDI by delivering a GPU-accelerated user experience. Innovations in NVIDIA vGPU technology enable IT to virtualize a GPU to be shared amongst multiple users or enable a single user to harness the ...Read More
Abstract:

NVIDIA virtual GPU (vGPU) technology transformed VDI by delivering a GPU-accelerated user experience. Innovations in NVIDIA vGPU technology enable IT to virtualize a GPU to be shared amongst multiple users or enable a single user to harness the power of multiple GPUs in a VM. Join us to hear about the latest evolution in NVIDIA vGPU as we announce a new way of GPU computing to virtualization, and how you can increase data center efficiency when running multiple workloads. Learn how VMware vSphere powered by NVIDIA vGPU software's latest release is driving innovation and new use cases. Now you can access the power of an NVIDIA GPU from anywhere you are – from the data center, in the cloud, to any endpoint you choose. Learn how NVIDIA vGPU technology is accelerating data center workloads with reduce complexity and improved utilization.

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Topics:
GPU Virtualization
Type:
Talk
Event:
VMWorld
Year:
2019
Session ID:
VM9064
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Other
Presentation
Media
Abstract:
During this session, attendees will discover the benefits of virtualising any desktop or application using VMware Horizon.
 
Topics:
Other
Type:
Talk
Event:
GTC Europe
Year:
2017
Session ID:
23042
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