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.
This session presents some of the challenges facing the military simulation and training community as we extend the operational life of existing simulators thru technology insertion and modernization. Solutions to these challenges involve embracing the application of virtualization to existing system architectures, and extending into cloud based services as part of future architectures. We specifically look at unique requirements for real-time 3D image generation and explore approaches to using NVIDA virtual GPU technologies to provide the required performance while capitalizing on the reduced footprint and enhanced sustainability afforded by virtualize GPUs.
GPU virtualisation in the Cloud has ushered in a new era for architects, builders, designers and engineers. In this case study session you will learn how TBI personnel are now using BIM applications including BIM 360, Solibri, Revit and Navisworks, through a digital workspace hosted on Citrix XenDesktop HDX 3D Pro running on Microsoft Azure NV-series virtual machines with NVIDIA virtual GPUs, NVIDIA GRID and Tesla M60s. This technology stack enables TBI employees to work together in real time, from any location, while enjoying a highly optimised 3D user experience on any device, even the low-cost Raspberry Pi. In their technology journey, TBI progressed from an age of 2D flatland, to the more advanced age of optimization of 3D digital data, to the present-day era of interoperability and collaboration in a new age where connectivity is key.
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!
This session will involve a live case study of how the Willmott Dixon and ebb3 partnership are leveraging NVIDIA Quadro Virtual Data Center Workstation (Quadro vDWS) enabled services to support its internal teams and customers as the AEC sector in the UK moves rapidly towards digital transformation. We will explain one of the current problems that exist with BIM and the journey towards Level 3 in the UK, the barriers to users working with federated BIM models, and the ever increasing use of data within an analogue industry.The session will cover a live project visualisation and examples of using it within a collaborative environment to reduce time and costs.
With the latest release of NVIDIA vGPU software the world's most powerful virtual workstation gets even more powerful. Learn more about how our latest enhancements enable your data center to be more agile and scale your data center to meet the needs of thousands to ten-thousands and even hundreds of thousands of users. The newest release of NVIDIA virtual GPU software adds support for more powerful VMs, which can be managed from the cloud or from the on premises data center, or private cloud. With support for live migration of GPU-enabled VMs, IT can truly deliver high availability and a quality user experience. IT can further ensure they get the most out of their investments with the ability to re-purpose the same infrastructure that runs VDI during the day to run HPC and other compute workloads at night. In this session, we will unveil the new features of NVIDIA vGPU solutions and demonstrate how GPU virtualization enables you to easily support the most demanding users and scale virtualized, digital workspaces on an agile and flexible infrastructure, from the cloud and as well as the on premises data center.
During this session, attendees will learn about sizing and optimising a Citrix Xenapp / Microsoft RDSH environment with NVIDIA virtual GPU (vGPU) technology. Learn why it is especially important in XenApp environments to keep an eye on the framebuffer and make sure the load is not too high. Get the best performance out of your environment by using the best architecture and sizing on the basics of a real world scenario with Grimme, the world market leader for potato farming technology. In 2016, Grimme launched a project to replace their existing Citrix XenApp Infrastructure and decided to use NVIDIA Tesla cards and NVIDIA vGPU software in the new environment to improve performance and user experience.
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.
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.
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.
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.
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.
This talk would cover the background and distinguishing features of the European Interactive Computing E-Infrastructure (ICEI) project, which will offer a set of federated services to realize the Fenix infrastructure (https://fenix-ri.eu). For decades, high "performance" computing, networking, and storage technologies have been among the driving forces behind numerous scientific discoveries and breakthroughs. Recently, the X-as-a-service model offered by several cloud technologies has enabled researchers, particularly in the fields of data science, to access resources and services in an on-demand and elastic manner. Complex workflows in different domains, such as the European Human Brain Project (HBP), however require a converged, consolidated, and flexible set of infrastructure services to support their performance and accessibility requirements.
Autonomous capabilities are proliferating within the defence industry, where robust GPU-based graphics and vision solutions are mission-critical. This session provides an overview of current AI research and development within defence agencies, discussing the challenges and opportunities in a vital market segment. Specific topics will include exemplary Land, Sea, and Air defence applications that incorporate AI, along with the technical challenges and solutions related to AI-enabled, low-latency automated classification, tracking, sensor fusion and situational awareness in degraded visual environments. Attendees will also gain insights into solutions offered by GPU-based high-performance embedded computers built for military and aerospace applications.
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.