Schedule

Listen to our partners and experts at VMworld 2019.

August 25

     
  • 05:15 PM - 5:40 PM
    NVIDIA Introduction & Welcome
    John Fanelli, VP Product Management, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Welcome to VMWorld by NVIDIA. Hear what's new with GPU virtualization and what to expect from NVIDIA during the show.
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  • 5:45 PM - 6:10 PM
    Transforming Sketches into Reality with AI
    Gavriil Klimov / Chris Hebert, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Come see how a powerful new application from NVIDIA Research allows you to create photo-realistic images with just a few easy strokes. A generative adversarial network (GAN) has been trained to convert color into detailed images using a deep network module. Using NVIDIA V100 GPUs for the deep learning training and RTX GPUs using tensor cores to run the model in real-time, witness how NVIDIA is transforming sketches into reality with AI.
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  • 6:15 PM - 6:40 PM
    NVIDIA & VMware Test Drive: Success & Next Steps
    Varun Nanda Kumar, Product Manager, Virtual GPU Technology, NVIDIA
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      NVIDIA & VMware Test Drive is a technology demonstration developed by NVIDIA and VMware to showcase the benefits of adding vGPU based graphics acceleration to power an interactive experience in a virtual environment. Utilizing VMware Technology stack: VMware vSphere, VMware Horizon and NVIDIA Quadro Virtual Datacenter Workstation, customers are able to experience the power of a high-end graphics workstation from three datacenters- Texas, Singapore and Amsterdam. Currently customers can access all the major ISV applications like Siemens NX, Dassault Solidworks, ESRI ArcGIS Pro, Autodesk AutoCAD and modern Office applications for Knowledge workers. In this session, we will show Success of Test Drive over the past three years with examples of customer examples who have made a decision based on Test Drive.
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August 26

  • 11:00 AM - 12:00 PM
    How VMWare vShpere and NVIDIA GPUs Accelerate your Organization
    Ziv Kalmanovich, Product Manager, VMware
    Raj Rao, Sr. Director of Product Management, GRID/vGPU Business Unit, NVIDIA
    Moscone West, Level 2, Room 2024
    VMWare Breakout

       
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      GPUs are invading the data center. From virtual desktops to simulations and media rendering, from big data analytics to machine learning, organizations are realizing the benefits of going beyond the traditional server and VM architecture to increase end-user productivity and speed to market, and improve customer experiences. The breadth of applications that can be GPU accelerated is growing fast along with the adoption of GPUs as part of the enterprise infrastructure. This new infrastructure brings new challenges for admins, such as efficient infrastructure utilization and management, lifecycle management of GPU-accelerated VMs, and more. In this session, see how VMware vSphere and NVIDIA GRID address these issues, and how VMware and NVIDIA are collaborating to democratize GPU consumption in the enterprise.
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  • 11:00 AM - 12:00 PM
    Journey Toward a Data-Centric Future with Virtualization and RDMA
    Sudhanshu (Suds) Jain, Sr Product Management Leader, VMware
    Aviad Shaul Yehezkel, Staff SW Architect, Mellanox
    Moscone West, Level 2, Room 2003
    VMWare Breakout

       
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      The data-centric world is challenging the IT infrastructure industry's current status quo. Remote data memory access (RDMA), already proven in the high-performance computing (HPC) market, is making early in-roads in enterprise infrastructure to address a common set of problems. Join this session to learn how RDMA over Converged Ethernet (RoCE) will play a key role in addressing future data-centric challenges. Find out how VMware vSphere embraces RDMA technology to enable various use cases, such as VMware vSAN, artificial intelligence/machine learning (AI/ML), HPC, and business-critical application workloads on cloud deployments powered by VMware. We will also talk about how to consume RoCE in a virtualized environment, and some of the networking challenges and future enhancements to be addressed to make RDMA adaption more mainstream.
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  • 11:15 AM - 11:40 AM
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      TBD
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  • 11:30 AM - 11:45 AM
    The Thrifty Admin, VDI by Day Compute by Night
    Tony Foster, Technical Marketing Engineer, Dell Technologies
    Moscone South, Lower Level, The Square
    TechTalk

       
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      Having to do more with less has become a standard for IT administrators. One way to get more with less is to use the same host for both VDI and Machine Learning (ML). How is this possible? There are a number of ways to do this. In this session we will explore one way to do this with a simple script that monitors the load of an environment to intelligently deliver both VDI and ML resources. This gives administrators the ability to provide more business value with less.
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  • 11:45 AM - 12:10 PM
    How to Manage GPU Acceleration in your Datacenter
    Shankar Chandrasekaran, Senior Manager, Product Marketing NVIDIA Data Center Group, NVIDIA
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      GPUs are becoming the preferred computing resource for HPC and AI applications due to the massive speedups seen. In this talk, we will look at the software infrastructure used for AI. We will cover the various software application and tools that NVIDIA offers to developers and IT operations to simplify the development and management of GPUs. We will also look at how you can integrate GPUs with popular open source software available to accelerate the development of AI applications.
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  • 12:15 PM - 12:40 PM
    Ask The Expert - AI & HPC
    Shankar Chandrasekaran, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      TBD
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  • 12:45 PM - 1:10 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Datacenter virtualization for server workloads has been standard for many years now, but new workloads, such as Artificial Intelligence and Machine Learning, are stretching the boundaries of what's possible. Virtualization provides a convenient way to efficiently use resources for many workloads, adding containers allows you to easily choose and deploy your applications where you want them, when you want them. Deploying AI and ML workloads in containers, powered by a virtualization platform offering hardware acceleration, is key to being successful. Come learn how NVIDIA, Red Hat OpenShift, and VMware vSphere work together to create an AI/ML platform which provides powerful resources, flexibility, and prepares you for success.
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  • 1:00 PM - 1:20 PM
    Lenovo Booth #837
    Partner Booth

       
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      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 utilizing VMware vSphere on Lenovo servers. Come learn how NVIDIA, VMware and Lenovo solutions work together to accelerate data center workloads – from graphics to AI - with reduced complexity and improved utilization.
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  • 1:00 PM - 1:30 PM
    Supermirco Booth #965
    Partner Booth

       
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      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 utilizing VMware vSphere on Supermicro servers. Come learn how NVIDIA, VMware and Supermicro solutions work together to accelerate data center workloads with reduced complexity and improved utilization.
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  • 1:15 PM - 1:40 PM
    Simplify AI, Data Science, and HPC with NVIDIA NGC Containers and VMware vSphere
    Adel El Hallak, Director of Product Management, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      GPU-accelerated software allows users to master complex AI, data science, and HPC problems once thought to be impossibly complex. Until recently, GPU-accelerated software could be complex to use, difficult to deploy, and hard to manage. However, today NVIDIA NGC containers and VMware vSphere work together to simplify advanced AI, data science, and HPC workflows and enable you to do cutting-edge work in an efficient virtualized environment using leading data center management tools.
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  • 1:45 PM - 2:10 PM
    Ask The Expert - NVIDIA vGPU 101
    Erik Bohnhorst + NGCA
    NVIDIA Booth #1351
    Ask the Expert

       
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      The data center is changing. Users are needing to tackle larger data sets, collaborate securely across global teams, on any device. At the same time, IT needs to build an agile data center that can support multiple workloads - including AI, machine learning, and HPC. Learn how NVIDIA vGPU technology is making this possible. Our solution architect will talk about the key learnings he's had with successful large scale customer deployments. You will leave you with tips and tools you can use to start deploying these innovations in your environment today.
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  • 2:15 PM - 2:40 PM
    State of the Art Graphics and Experience with VMware and NVIDIA
    Anirban Chakraborty, Senior Product Line Manager, VMWare (Horizon)
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Learn how VMware and NVIDIA have been partnering over the years to deliver a state-of-the-art graphics experience to virtual desktop customers. Whether it is the knowledge worker using productivity applications or the specialized worker running multimedia and graphics rich applications, learn how you can deliver an uncompromising user experience through VMware Horizon's Blast Extreme protocol with the right NVIDIA GPU at the backend and at the same time reduce costs and efficiently scale your infrastructure.
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  • 2:45 PM - 3:10 PM
    Using NVIDIA vCompute Server for Deep Learning Object Recognition
    Emily Apsey, Technical Marketing and Senior Performance Engineer, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Architecting the Virtual Environment using NVIDIA vGPU, vSphere, on prem or in the Cloud to support nonlinear multi-layer processing for feature identification and pattern recognition.
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  • 3:15 PM - 3:40 PM
    Support Compute Workloads (AI) and Graphics Users with the NVIDIA T4 and NetApp HCI
    Christopher Rodriguez, Cloud Solution Principal Architect / EUC Product Manager, NetApp
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      With increasing demand for graphics content, delivering high performance end user service can be a challenge. Come learn about how the new NetApp HCI powered by NVIDIA GPUs and virtualization software accelerates VDI workloads. You'll walk away with a understanding of use cases for this solution and tools that will help you determine how NVIDIA vGPU with NetApp HCI technology will enable your business to improve end user experience and cost-effectively scale VDI.
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  • 3:45 PM - 4:10 PM
    How NVIDIA and Dell EMC are Quantifying the User Experience
    Nick Busick, Senior Principal Systems Development Engineer, Dell EMC
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      For years, measuring user experience in a virtual environment has been limited to measuring log-in times and app failures. But for the past several months, NVIDIA and Dell have been working closely to develop a process to benchmark the experienced latency, FPS, image quality, and consistency. Come learn about the development and results of this testing from our architects and how you can apply this to your own VDI environments
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  • 4:15 PM - 4:40 PM
    Building a VMware vSAN Solution with Lenovo and NVIDIA
    Mike McDermott, Senior Product Manager, Lenovo
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      How a trusted partnership between Lenovo, NVIDIA and VMware can drive the development of a robust and seamless solution. Bringing to market a tested, optimized vSAN solution requires teams to work together as our customers expect a fully functional system. We will talk about the partnership, hurdles and the end result.
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  • 4:45 PM - 5:10 PM
    Ask The Expert - Choosing the right NVIDIA GPU for your Workload
    Emily Apsey, Senior Performance Engineer/Technical Marketing, NVIDIA
    Varun Nanda Kumar, Product Manager, Virtual GPU Technology, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      NVIDIA vGPU runs on various GPUs which can make the decision hard if you don't understand the differences between the options. In this beginner-level, session you will learn which NVIDIA GPU to choose for your workload. Additionally, you'll learn about the entire hardware lineup, as well as the different editions of NVIDIA vGPU.
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  • 5:15 PM - 5:40 PM
    Powering Intelligent Video Analytics (IVA) using NVIDIA Virtual GPU and VMware vSphere
    Charlie Huang, Sr. Product Marketing Manager, NVIDIA
    Shailesh Deshmukh, Sr. Solution Architect, NVIDIA
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Intelligent Video Analytics (IVA) is a growing segment in Artificial Intelligence as cameras become ubiquitous across industries and in smart cities. The potential of using video analytics can provide meaningful insight from these cameras and help city officials, retail stores, and other entities. However, security and isolation of these streams is becoming a common concern for enterprise IT. Virtualization using NVIDIA virtual GPU technology provides a cost and operational efficient solution that offers multi-tenancy and mixed workload options, on top of securing workloads and user isolation. A virtualized environment harnessing the power of NVIDIA GPUs can provide flexibility for users to run AI and Deep Learning workloads for their video analytics in a highly performing and secure environment.
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  • 5:45 PM - 6:10 PM
    Making Visualization, HPC & Machine Learning Workflows Efficient on NVIDIA vGPU and vSphere
    Manvender Rawat, Sr. Product Manager, NVIDIA Virtual GPU, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      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. Learn how you can leverage NVIDIA RTX capable GPUs and NVIDIA virtualization software along with VMware vSphere to transform massive amounts of data into insights and create amazing user experiences in a virtual environment.
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August 27

     
  • 11:00 AM - 12:00 PM
    Moscone West, Level 2, Room 2010
    VMWare Breakout

       
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      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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  • 11:00 AM - 12:00 PM
    How GPU-Assisted ML for Medical Research Proved to Be a Force for Good
    Johan van Amersfoort, EUC Architect, ITQ Consultancy
    Niels Hagoort, Technical Marketing Architect, VMware
    Moscone South, Level 2, Room 209
    VMWare Breakout

       
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      What is the difference between a GPU and a CPU? Why do machine learning (ML) and deep learning (DL) workloads benefit greatly from utilizing GPUs for computations in bulk? In this session, we will explain the details about GPU architecture and elaborate on how VMware vSphere ESXi supports the usage of GPUs. Learn how you can benefit from GPU compute power while maintaining the virtualization abstraction layer for enhanced data center consolidation, operations, and performance using vSphere. We will go into details about a medical research institution customer case where TensorFlow-enabled DL applications are used for photo analyses to detect skin tumors/cancer. We will also talk about a GPU-enabled application that is running to extrapolate DNA sequences from a large (many TBs) data set using ML.
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  • 11:15 AM - 11:40 AM
    Why GPUs are Cost Efficient for AI & HPC Applications
    Dion Harris, Sr. Manager, Product Marketing NVIDIA Data Center Group, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      NVIDIA data center GPUs fundamentally change the economics of the modern data center, delivering breakthrough performance with dramatically fewer servers, less power consumption, and reduced networking overhead, resulting in total cost savings of 5X-10X. Over 600 HPC applications in a broad range of domains are optimized for GPUs, including all 15 of the top 15 HPC applications and every major deep learning framework. Learn how GPU acceleration can help your data center achieve faster insights and dramatically lower costs.
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  • 11:30 AM - 12:30 PM
    Size and Configure Horizon to support Professional Graphics Applications
    Mike Brennan, Product Manager, End User Computing & Graphics, Cisco Systems, NVIDIA
    TBD

       
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      How do you Size and Configure Horizon Desktops to support Professional Graphics Applications? Most manufacturing, AEC, Media and Entertainment, Oil and Gas, Healthcare and design firms have teams that use powerful, expensive physical graphics workstations. These physical machines present great opportunities for Horizon Windows 10 GPU supported virtual graphic workstation conversions. This session will help you understand the key benefits for doing so, the key requirements for success and a way to measure and predict performance using two sample applications.
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  • 11:15 AM - 11:45 AM
    Delivering a Modern Windows 10 Experience with GPU Virtualization
    Sicong Ji, Cisco Platforms & Solutions, NVIDIA
    Cisco Booth #1427
    Partner Booth

       
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      Modernizing VDI to support the use of common productivity and collaboration applications, video content, graphics intensive Windows 10, and the rising trend of multiple and higher resolution monitors are all driving the demand for more graphics computing resources. In this session, learn how customers using Cisco-NVIDIA solutions have turned to GPU virtualization to achieve a native-PC experience in the age of multimedia.
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  • 11:45 AM - 12:10 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Architecting the Virtual Environment using NVIDIA vGPU, vSphere, on prem or in the Cloud to support nonlinear multi-layer processing for feature identification and pattern recognition.Quadro Virtual Data Center Workstations enable creative and technical professionals to run the most demanding applications, collaborate in real-time, while meeting the business's need for greater security. With Dell infrastructure, which now includes certifications from Independent Software Vendors (ISVs), you can ensure your most critical applications will run reliably and optimally every time. Learn how a leading automotive manufacturer is using GPU acceleration on Dell EMC VDI to provide a workstation-class performance for their users, on any device.
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  • 12:15 PM - 12:40 PM
    Ask The Expert - VDI UX
    Nachiket Karmarkar, Sr. Performance Engineer, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      Benchmarking user experience at scale has become increasingly challenging with changes to the way employees work today - including the increased use of graphics intensive applications, video and multimedia, coupled with the rising use of multiple, higher resolution monitors. NVIDIA developed a benchmarking tool based on a methodology that measures key aspects of the user experience, including end user latency, framerate, image quality, and server utilization. This enables IT to size the VDI infrastructure based on utilization thresholds that are relevant to the environment.
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  • 12:45 PM - 1:10 PM
    Achieve Next-Level Performance on the HPE ProLiant Virtual Workstation
    Krystine Taylor, Advanced Technology Product Manager, HPE
    Nachiket Karmarkar, Sr. Performance Engineer, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      HPE and NVIDIA enhance performance and user experience of graphic intensive applications with virtual engineering workstations. Powered by HPE ProLiant DL380 servers equipped with NVIDIA® Quadro® Virtual Data Center Workstation (Quadro vDWS) software and NVIDIA data center GPUs (Tesla T4s), this workstation optimizes resource utilization and reduces costs, improves manageability, user experience, productivity, collaboration and mobility. HPE leveraged the NVIDIA benchmarking tool to capture the enhanced performance and user experience
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  • 1:15 PM - 1:40 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Learn how easy it is to deliver GPU accelerated virtual desktops and applications from your on-premises infrastructure from VMware or from the public cloud with Horizon Cloud on Microsoft Azure. With Horizon Cloud Nvidia vGPU accelerated virtual desktops and applications your users can get the experiences they expect and IT can manage the deployment from a cloud control plane.
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  • 1:45 PM - 2:10 PM
    Ask The Expert - Cloud
    Manvender Rawat, Sr. Product Manager, GRID vGPU, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      Learn how easy it is to deliver GPU accelerated virtual desktops and applications from your on-premises infrastructure from VMware or from the public cloud with Horizon Cloud on Microsoft Azure. With Horizon Cloud Nvidia vGPU accelerated virtual desktops and applications your users can get the experiences they expect and IT can manage the deployment from a cloud control plane.
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  • 2:00 PM - 2:30 PM
    Delivering Powerful, Virtual Workstation and PCs with GPU Virtualization
    Sicong Ji, Cisco Platforms & Solutions, NVIDIA
    Pure Storage Booth #527
    Partner Booth

       
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      TBD
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  • 2:00 PM - 2:30 PM
    Supermicro Booth #965
    Partner Booth

       
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      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 utilizing VMware vSphere on Supermicro servers. Come learn how NVIDIA, VMware and Supermicro solutions work together to accelerate data center workloads with reduced complexity and improved utilization.
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  • 2:15 PM - 2:40 PM
    GE Aviation's Journey with NVIDIA vGPU for Engineering Workloads
    Dewey Gripshover, Sr. Staff Enterprise Application Engineer, GE Aviation
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      A short discussion about GE Aviation's use of the Keplar class Nvidia vGPUs (K1 &K2) through our current HCI using the Pascal P40 cards in a VDI engineering environment.
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  • 2:45 PM - 3:10 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Are you planning to deploy virtual desktops or in the middle of a struggling virtual desktop project? If you are planning a virtual desktop infrastructure (VDI) deployment or challenged by your current configuration, this session outlines some critical factors for success. This talk will include technical details about our environment and how we achieved broad success.
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  • 3:15 PM - 4:00 PM
    Machine Learning and Big Data on VMware with expert Justin Murray
    Justin Murray, SeniorTechnical Marketing Architect, VMware
    Moscone West, Level 2 Table 6
    Expert Roundtable

       
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      This MTE session will facilitate an open discussion with practitioners of machine learning and big data at VMware on the tools and platforms that commonly used. We will discuss our experiences that with tools and platforms, such as Apache Spark, Kubernetes, TensorFlow, Python, Scala, H2O Driverless AI, KNIME Analytics Platform, and Hadoop among others. These ML environments have been used in virtual machines on vSphere in our labs, sometimes with GPUs. We will distinguish between the different applications requirements of accelerators like GPUS – and when they are needed. We are keen to learn your opinions on the latest in the big data market also. Bring your ideas and questions for a lively discussion on your machine learning/big data experiences on vSphere or on physical systems – we may persuade you to migrate, in the latter case!
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  • 3:15 PM - 3:40 PM
    Ask The Expert - Client/Virtual Computing
    Vinay Bagade, Performance Engineer, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      Are you planning to deploy virtual desktops or in the middle of a struggling virtual desktop project? If you are planning a virtual desktop infrastructure (VDI) deployment or challenged by your current configuration, this session outlines some critical factors for success. This talk will include technical details about our environment and how we achieved broad success.
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  • 3:30 PM - 4:30 PM
    VI Admin's Guide: Supporting Container-Based Machine Learning with PKS
    Mohan Potheri, HPC Staff Solutions Architect, VMware
    Tom Hite, Sr. Director, PS Emerging Technology, VMware
    Moscone West, Level 2, Alcove 2017
    VMware Breakout

       
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      PKS solutions need to be extended to support container-based access to GPUs for machine learning (ML), but any extension of PKS worker nodes seems all but impossible for the VI admin. But armed with the right knowledge, things get much easier. Join this session to learn how to extend any VMware Essentials PKS or VMware Enterprise PKS cluster to provide container-based GPU access for more efficient ML development and inference execution. In fact, the strategy used will work for any software extension needed at PKS worker nodes. We will go through a step-by-step demo (from a VI admin's perspective) of an automated means of adding GPU support to PKS that doesn't break VMware support and survives automated PKS upgrades. All of the automations are open sourced by VMware for use by VI admins as they move forward with this new knowledge.
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  • 3:45 PM - 4:10 PM
    vSphere Networking Done Right
    Motti Beck, Sr. Director Enterprise Market Development, Mellanox
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      We are in a new phase of computing evolution, where traditional CPU and networking technologies are no longer sufficient to support the next-generation research computing, engineering, and science workloads. Infrastructure needs to keep pace with the compute requirements for the exceedingly complex computational models that are associated with extremely large data-sets. The ability to share accelerators and high-speed interconnects through virtualization is mandatory to achieve the speed, efficiency, and higher performance required for these workloads. In this session, you will see how virtualization technologies like SR-IOV, RDMA, and vGPU can be shared effectively to architect and meet the requirements for research computing, academic, scientific, and engineering workloads.
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  • 4:15 PM - 4:40 PM
    Millions in OPEX Savings: A Case Study in the AI-Ready Data Center
    Johan van Amersfoort, Senior Developer EUC Architect/Tech Marketing, ITQ Consultancy
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Healthcare organizations often run a variety of workloads – from administration using productivity and web-based apps, to specialists using PACS to view and manipulate large medical images, to data scientists using deep learning to extrapolate DNA sequences to find the next medical breakthrough. Learn how one of Europe's biggest cancer research hospitals is able to run multiple workloads on a centralized data center and GPU accelerated virtualized desktop infrastructure (VDI). Medical professionals are empowered with remote and secure to access patient data, and at night the same VDI platform is utilized by repurposing it to analyze PACS imagery for the oncology department.
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  • 4:45 PM - 5:10 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Cisco and NVIDIA partnered with ESRI to create starting point sizing guidance for ArcGIS Pro in the optimal Cisco UCS server with the best fit NVIDIA GPU to deliver three key capabilities of the software: 3D rendering, spatial analytics and deep learning inferencing – all on the same server
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  • 5:15 PM - 5:40 PM
    NVIDIA vDWS and Teradici. The Next-gen Virtual Workstations Solution.
    Arjen van der Meulen, Director of Product Management, Teradici
    WATCH NOW
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Learn how Nvidia vDWS and Teradici PCoIP Ultra available on Cloud Access Software enable next-gen virtual workstations from the cloud, hybrid and on-premises environment's, including ESXi) for our most demanding users in VFX/media, engineering, medical and other verticals. Hear about how PCoIP Ultra support 4K HFR content and Nvidia NVEN as part of latest and greatest features available.
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  • 5:45 PM - 6:10 PM
    NVIDIA Booth #1351
    Ask the Expert

       
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      The data center is changing. Users are needing to tackle larger data sets, collaborate securely across global teams, on any device. At the same time, IT needs to build an agile data center that can support multiple workloads - including AI, machine learning, and HPC. Learn how NVIDIA vGPU technology is making this possible. Our solution architect will talk about the key learnings he's had with successful large scale customer deployments. You will leave you with tips and tools you can use to start deploying these innovations in your environment today.
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August 28

     
  • 8:00 AM - 9:00 AM
    Scaling the Virtualization Hurdle for Machine Learning, Big Data and HPC
    Aviad Shaul Yehezkel, Staff SW Architect, Mellanox
    Adit Ranadive, Sr. MTS, VMware
    Moscone West, Level 2, Alcove 2017
    VMware Breakout Session

       
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      The use of RDMA-based interconnect accelerators may greatly increase the performance of high-performance ML workloads, where RDMA helps decrease latency and CPU utilization for these data-centric workloads. We will present the basics of RDMA (concentrating on IB & RoCE) and explain how it is able to deliver these performance enhancements. We will describe the different approaches available for running RDMA based workloads on VMware vSphere using technologies such as virtualized GPUs and PVRDMA. We will demonstrate how ML applications can utilize the full potential of RDMA, interconnect and hardware accelerators, while retaining the benefits provided by virtualization, such as vMotion and snapshotting. The discussion will showcase performance results for real Machine Learning and Big Data workloads running on VMware vSphere.
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  • 10:15 AM - 10:40 AM
    Leveraging NVIDIA vGPU on vSphere for Distributed Machine Learning
    Mohan Potheri, Staff Solutions Architect, VMware Technical Marketing, VMWare
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      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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  • 10:45 AM - 11:10 AM
    Accelerating HPC and Machine Learning workloads on VMware vSphere
    Josh Simons, Chief Technologist for HPC and VMware ML Program Office lead, VMWare
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      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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  • 11:15 AM - 11:40 AM
    Ask The Expert - AI & HPC
    Edward Richards, Director Cloud Architecture vGPU Product Management, NVIDIA
    Greg Crider, Sr. Product Manager, NGC, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      Come by and we can chat about how you can use NVIDIA's GPU Cloud (NGC) container registry to deploy your GPU accelerated application on a kubernetes cluster.
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  • 11:45 AM - 12:10 PM
    Why Is My Virtual Desktop Slow? Best Practices for Enhancing VDI User Experience
    Nanda Kumar, Director, Solutions Engineering, eG Innovations
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Join us for this NVIDIA theater session where NVIDIA technology partner, eG Innovations, will discuss best practices for monitoring VDI environments and highlight specifics on GPU monitoring, what key metrics to track and how to ensure stellar end-user experience for VDI users.
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  • 12:15 PM - 12:40 PM
    Control and Manage Virtual Environments in Real-time
    Trentent Tye, Sr. Citrix Technical Expert, ControlUP
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Corporate IT environments never get simpler. Instead, their complexity seems to increase exponentially, generating a volume of IT operations data so large that humans simply can't effectively evaluate it. In this session, you'll learn how ControlUp enables IT to control and optimize -- in real-time -- any computing infrastructure using a simple, elegant, and comprehensive view.
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  • 12:45 PM - 1:10 PM
    Ask the Expert: Accelerated DataScience workloads on vGPU
    Vinay Bagade, Performance Engineer, NVIDIA
    Manvender Rawat, Sr. Product Manager, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      Today, containers are an easy way to deploy GPU accelerated libraries on development environment. RAPIDS is a set of DataScience libraries accelerated on GPU available today to a data scientist within an organization. Deploying RAPIDS on cloud in containers hepls democratizing access to accelerated computing. Deploying these containers in data centers on vGPUs help maximize hardware utilization and optimize budget-driven capital expenditures by sharing hardware resources among a team of users. With GPU-accelerated CUDA-X AI, data scientists can realize value from insights faster than with CPUs systems.
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  • 1:15 PM - 1:40 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      This talk will cover how to benchmark your current physical environment, how to translate it to a virtual vGPU powered environment, and how to setup a POC. It will also cover how to optimize your environment for the AEC industry.
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  • 1:15 PM - 1:45 PM
    Delivering a Modern Windows 10 Experience with GPU Virtualization
    Sicong Ji, Cisco Platforms & Solutions, NVIDIA
    WATCH NOW
    Cisco Booth #1427
    Partner Booth

       
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      Modernizing VDI to support the use of common productivity and collaboration applications, video content, graphics intensive Windows 10, and the rising trend of multiple and higher resolution monitors are all driving the demand for more graphics computing resources. In this session, learn how customers using Cisco-NVIDIA solutions have turned to GPU virtualization to achieve a native-PC experience in the age of multimedia.
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  • 1:30 PM - 2:00 PM
    Powering the Modern Data Center with Red Hat Solutions and NVIDIA vGPU on vSphere
    Charlie Huang, Sr. Product Marketing Manager, NVIDIA
    Red Hat Booth #227
    Partner Booth

       
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      Understanding the need for GPU acceleration in the modern digital workplace.
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  • 1:45 PM - 2:10 PM
    Using Digital Experience Monitoring to Assess, Plan, and Monitor Your VDI Environment
    Patricia Diaz-Hymes, Head of Product Marketing, Lakeside Software
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      What if we told you all the data you need to right-size your environment, reduce VDI performance issues, boost end-user experience is already in your hands? Digital Experience Monitoring is key in capturing that data directly from the edge so that you can assess your current environment and its readiness for VDI, plan which resources you need to make it run smoothly, and monitor the digital experience of users. During this short session, we will overview how SysTrack Digital Experience Monitoring is helping customers do just that.
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  • 2:15 PM - 2:40 PM
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      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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  • 2:45 PM - 3:10 PM
    Jetson Nano: Dual Purpose Windows Thin Client Workstation and AI / Kaggle Workhorse
    Roy A. Tokeshi, Principal Sales Engineer at Citrix Systems, Citrix Systems Commercial Sales Engineering: West
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Using the Jetson Nano as a Thin Client workstation give you a multi-purpose Linux application, windows application and windows desktop launchpad for any of your data access needs. None of this impacts the Nano's innate ability to perform artificial intelligence workloads at the edge. Do you need an edge device that can collect and process local sensor data and return a response? Do you need to allow users to interact with remote systems and data? One device does it all with the NVIDIA Jetson Nano!
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  • 3:15 PM - 3:40 PM
    NVIDIA's Unique Approach in Quantifying User Experience
    Nachiket Karmarkar, Sr. Performance Engineer, NVIDIA
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      With the new performance challenges Windows 10 brings coupled with professional design and engineering workflows that are evolving and becoming more complex, traditional performance metrics can no longer capture true user experience. In the session, you will discover new ways of executing and automating performance tests to help your customers better size their vGPU environments.
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  • 3:30 PM - 4:30 PM
    VMware EUC as a Force for Good
    Johan van Amersfoort, EUC Architect / VCDX-DTM, ITQ Consultancy
    Huib Dijkstra, EUC Specialist SE, VMware
    Moscone South, Esplanade, Room 151
    VMware Breakout Session

       
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      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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  • 3:45 PM - 4:10 PM
    Ask The Expert - Data Center Optimization
    Edward Richards, Director Cloud Architecture vGPU Product Management, NVIDIA
    NVIDIA Booth #1351
    Ask the Expert

       
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      Come by and learn how you can deploy GPU accelerated microservices at scale using fractional gpus or full gpus.
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  • 4:15 PM - 4:40 PM
    Ultra Performance and High Density GPU-Accelerated VDI Platform
    Yenwei Hong, System Product Manager, Super Micro Computer Inc.
    WATCH NOW
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Supermicro has developed a line of fully validated server solutions featuring high performance GPUs from NVIDIA, along with NVIDIA virtual GPU (vGPU) software, to address the rapidly growing Virtual Desktop Infrastructure (VDI) market. These solutions include a Supermicro Ultra, MaxIO, GPU-Optimized SuperServers configured with dual Intel® Xeon® CPUs, up to 6TB DDR4 memory and NVIDIA® vGPU software with Tesla® GPUs based on the NVIDIA® Volta, Turing or Maxwell™ architectures that deliver best-in-class vGPU software with virtual desktop experience to users anytime and anywhere.
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  • 4:45 PM - 5:10 PM
    Delivering Application User Experience with Liquidware Stratusphere UX
    Michael Torian, Solutions Architect, LiquidWare
    VIEW PDF
    NVIDIA Booth #1351
    Booth Theater Talk

       
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      Enterprises today are faced with many challenges but few are more important than the struggle surrounding desktop applications. Moreover, users expect applications to 'just work' on whatever device they have on hand. Application-specific metrics, such as GPU, can play a significant role in meeting this need. This session will present LiquidwareStratusphere UX, a solution designed to support users, machines and applications; specifically it will demonstrate how important indicators can be used during user and application assessment, diagnostics as well as to proactively optimize and manage application health.
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August 29

     
  • 10:30 AM - 2:30 PM
    Supporting Machine Learning Workloads and GPUs on vSphere
    Justin Murray, SeniorTechnical Marketing Architect, VMware
    Josh Simons, Sr Dir & Chief Technologist, High Performance Computing, VMware
    Moscone West, Level 3, rm 3018
    Workshop

       
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      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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  • 12:00 PM - 1:00 PM
    Running GPU-Accelerated Data Science Workflows Virtually using NVIDIA vGPU
    Raj Rao, Sr. Director of Product Management, GRID/vGPU Business Unit, NVIDIA
    Manvender Rawat, Sr. Product Manager, NVIDIA
    Moscone South, Esplanade, Room 156
    VMWare Breakout

       
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      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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