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.
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.
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.
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.
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!
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.