This is a presentation I presented at NVIDIA AI Conference in Korea. It's about building the largest GPU - DGX-2, the most powerful supercomputer in one node.
This is a presentation I presented at NVIDIA AI Conference in Korea. It's about building the largest GPU - DGX-2, the most powerful supercomputer in one node.
This presentation covers a talk on the topic of "AI on the edge". The talk was delivered in the Conference on Artificial Intelligence and Robotics Technology held on Jan 28, 2021 by National Center of Artificial Intelligence Pakistan & working group by Ministry of Science and Technology on AI & Robotics.
HPE and NVIDIA are delivering a leading portfolio of optimized AI solutions that transform business and industry to gain deeper insights and facilitate solving the world’s greatest challenges. Join this session to learn about how NVIDIA V100, the world’s most powerful GPU, powering HPE 6500 Systems, the HPE AI Systems, to provide new business insights and outcomes.
Dell and NVIDIA for Your AI workloads in the Data CenterRenee Yao
Join us and learn more about how Dell PowerEdge C4140 Rack Server, powered by four of NVIDIA V100s, the world’s most powerful GPU, address training and inference for the most demanding HPC, data visualization and AI workloads. This enables organizations to take advantage of the convergence of HPC and data analytics and realize advancements in areas including fraud detection, image processing, financial investment analysis and personalized medicine.
Orchestrate Your AI Workload with Cisco Hyperflex, Powered by NVIDIA GPUs Renee Yao
Deep learning, a collection of statistical machine learning techniques, is transforming every digital business. As data grows, businesses need to find new ways of capitalizing on the volume of information to drive their competitive advantage. GPUs are becoming mainstream in the datacenter for accelerating containerized AI workloads. Kubernetes is a popular management framework for orchestrating containers at scale. However, managing GPUs in Kubernetes is still nascent, and setting up a Kubernetes cluster with GPUs can be challenging for customers. Join this session to learn more about how to use Kubernetes to orchestrate your AI workloads on Cisco Hyperflex, powered by NVIDIA V100, world’s most powerful GPU.
Supercomputing has swept rapidly from the far edges of science to the heart of our everyday lives. And propelling it forward – bringing it into the mobile phone already in your pocket and the car in your driveway – is GPU acceleration, NVIDIA CEO Jen-Hsun Huang told a packed house at a rollicking event kicking off this week’s SC15 annual supercomputing show in Austin. The event draws 10,000 researchers, national lab directors and others from around the world.
At a press event kicking off CES 2016, we unveiled artificial intelligence technology that will let cars sense the world around them and pilot a safe route forward.
Dressed in his trademark black leather jacket, speaking to a crowd of some 400 automakers, media and analysts, NVIDIA CEO Jen-Hsun Huang revealed DRIVE PX 2, an automotive supercomputing platform that processes 24 trillion deep learning operations a second. That’s 10 times the performance of the first-generation DRIVE PX, now being used by more than 50 companies in the automotive world.
The new DRIVE PX 2 delivers 8 teraflops of processing power. It has the processing power of 150 MacBook Pros. And it’s the size of a lunchbox in contrast to other autonomous-driving technology being used today, which takes up the entire trunk of a mid-sized sedan.
“Self-driving cars will revolutionize society,” Huang said at the beginning of his talk. “And NVIDIA’s vision is to enable them.”
Nvidia Deep Learning Solutions - Alex SabatierSri Ambati
Alex Sabatier from Nvidia talks about the future of Deep Learning from an chipmaker perspective
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
The enterprise datacenter is undergoing a massive transformation. Is your organization prepared for what’s next? .NEXT On Tour is bringing the best of the unforgettable .NEXT Conference to Utrecht on December 1, 2016
The enterprise datacenter is undergoing a massive transformation. Is your organization prepared for what’s next?
Share in proven strategies for delivering frictionless IT services while retaining the precise control your business needs.
See the groundbreaking new Nutanix platform capabilities that tear down IT silos and unify the technology stack.
Engage with peers on best practices in virtualization, application design and cloud technologies
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/streamlining-development-of-edge-ai-applications-a-presentation-from-nvidia/
Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products.
NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
At the Virtual HPC User Forum Special Event, CEO of MemVerge, introduces MemVerge and provides and overview of Big Memory Computing and Memory Machine software.
ENTER NVIDIA GRID
Delivering accelerated virtual desktops and applications.
This is where NVIDIA, the leader in graphics acceleration, stepped in to help. NVIDIA GRID technology allows IT to virtualize the physical GPU sitting in a server and share it with multiple VDI instances. This means that IT can deliver a true PC experience to any remote device from the datacenter. By providing a way to bring graphics acceleration to virtualization, NVIDIA GRID allows you to unlock all of the promises of productivity, mobility, security and flexibility for every one of your users.
With NVIDIA GRID you can safely house ALL your current into the datacenter so that they can be delivered out to any device, be it a thin client, chromebook, iPad or BYO Device. From an end user perspective this means they can be more productive working with the devices and in the locations that best suit them. For IT they are able to manage everything in a centrally in the datacenter which vastly simplifies their life.
by Mr. Tom Riley,
Director Global Business Development - Enterprise VR
This presentation covers a talk on the topic of "AI on the edge". The talk was delivered in the Conference on Artificial Intelligence and Robotics Technology held on Jan 28, 2021 by National Center of Artificial Intelligence Pakistan & working group by Ministry of Science and Technology on AI & Robotics.
HPE and NVIDIA are delivering a leading portfolio of optimized AI solutions that transform business and industry to gain deeper insights and facilitate solving the world’s greatest challenges. Join this session to learn about how NVIDIA V100, the world’s most powerful GPU, powering HPE 6500 Systems, the HPE AI Systems, to provide new business insights and outcomes.
Dell and NVIDIA for Your AI workloads in the Data CenterRenee Yao
Join us and learn more about how Dell PowerEdge C4140 Rack Server, powered by four of NVIDIA V100s, the world’s most powerful GPU, address training and inference for the most demanding HPC, data visualization and AI workloads. This enables organizations to take advantage of the convergence of HPC and data analytics and realize advancements in areas including fraud detection, image processing, financial investment analysis and personalized medicine.
Orchestrate Your AI Workload with Cisco Hyperflex, Powered by NVIDIA GPUs Renee Yao
Deep learning, a collection of statistical machine learning techniques, is transforming every digital business. As data grows, businesses need to find new ways of capitalizing on the volume of information to drive their competitive advantage. GPUs are becoming mainstream in the datacenter for accelerating containerized AI workloads. Kubernetes is a popular management framework for orchestrating containers at scale. However, managing GPUs in Kubernetes is still nascent, and setting up a Kubernetes cluster with GPUs can be challenging for customers. Join this session to learn more about how to use Kubernetes to orchestrate your AI workloads on Cisco Hyperflex, powered by NVIDIA V100, world’s most powerful GPU.
Supercomputing has swept rapidly from the far edges of science to the heart of our everyday lives. And propelling it forward – bringing it into the mobile phone already in your pocket and the car in your driveway – is GPU acceleration, NVIDIA CEO Jen-Hsun Huang told a packed house at a rollicking event kicking off this week’s SC15 annual supercomputing show in Austin. The event draws 10,000 researchers, national lab directors and others from around the world.
At a press event kicking off CES 2016, we unveiled artificial intelligence technology that will let cars sense the world around them and pilot a safe route forward.
Dressed in his trademark black leather jacket, speaking to a crowd of some 400 automakers, media and analysts, NVIDIA CEO Jen-Hsun Huang revealed DRIVE PX 2, an automotive supercomputing platform that processes 24 trillion deep learning operations a second. That’s 10 times the performance of the first-generation DRIVE PX, now being used by more than 50 companies in the automotive world.
The new DRIVE PX 2 delivers 8 teraflops of processing power. It has the processing power of 150 MacBook Pros. And it’s the size of a lunchbox in contrast to other autonomous-driving technology being used today, which takes up the entire trunk of a mid-sized sedan.
“Self-driving cars will revolutionize society,” Huang said at the beginning of his talk. “And NVIDIA’s vision is to enable them.”
Nvidia Deep Learning Solutions - Alex SabatierSri Ambati
Alex Sabatier from Nvidia talks about the future of Deep Learning from an chipmaker perspective
- Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai
- To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata
The enterprise datacenter is undergoing a massive transformation. Is your organization prepared for what’s next? .NEXT On Tour is bringing the best of the unforgettable .NEXT Conference to Utrecht on December 1, 2016
The enterprise datacenter is undergoing a massive transformation. Is your organization prepared for what’s next?
Share in proven strategies for delivering frictionless IT services while retaining the precise control your business needs.
See the groundbreaking new Nutanix platform capabilities that tear down IT silos and unify the technology stack.
Engage with peers on best practices in virtualization, application design and cloud technologies
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2021/08/streamlining-development-of-edge-ai-applications-a-presentation-from-nvidia/
Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit.
Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this session, you will learn how NVIDIA makes it easier for developers to build, deploy, maintain and manage embedded edge products.
NVIDIA Jetson brings accelerated AI performance to the edge in a power-efficient and compact module form factor. Together with NVIDIA pretrained models, Transfer Learning Toolkit, DeepStream and JetPack SDK, these Jetson modules open the door for you to develop and deploy innovative products across all industries.
As artificial intelligence sweeps across the technology landscape, NVIDIA unveiled today at its annual GPU Technology Conference a series of new products and technologies focused on deep learning, virtual reality and self-driving cars.
At the Virtual HPC User Forum Special Event, CEO of MemVerge, introduces MemVerge and provides and overview of Big Memory Computing and Memory Machine software.
ENTER NVIDIA GRID
Delivering accelerated virtual desktops and applications.
This is where NVIDIA, the leader in graphics acceleration, stepped in to help. NVIDIA GRID technology allows IT to virtualize the physical GPU sitting in a server and share it with multiple VDI instances. This means that IT can deliver a true PC experience to any remote device from the datacenter. By providing a way to bring graphics acceleration to virtualization, NVIDIA GRID allows you to unlock all of the promises of productivity, mobility, security and flexibility for every one of your users.
With NVIDIA GRID you can safely house ALL your current into the datacenter so that they can be delivered out to any device, be it a thin client, chromebook, iPad or BYO Device. From an end user perspective this means they can be more productive working with the devices and in the locations that best suit them. For IT they are able to manage everything in a centrally in the datacenter which vastly simplifies their life.
by Mr. Tom Riley,
Director Global Business Development - Enterprise VR
VMworld 2013
Geoff Murase, VMware
Will Wade, NVIDIA
Learn more about VMworld and register at http://www.vmworld.com/index.jspa?src=socmed-vmworld-slideshare
MT147_Thinking Windows 10? Think simple, scalable, and secure deployments wit...Dell EMC World
Over 350M Windows 10 devices have been deployed in less than a year, and the recent Windows 10 anniversary update has accelerated the planning of Windows 10 rollouts for the vast majority of enterprises. This is the perfect time to evaluate your desktop deployment strategy. In this session, we will discuss the how VMware Horizon with Dell infrastructure can enable your journey to Windows 10, the benefits of centrally deploying Windows 10 through virtual desktops, and what this means for BYOD. We’ll also cover how the latest innovations from VMware and Dell can deliver simple, scalable, and secure Windows 10 deployments.
Managing the End User Experience with GPU-Powered InsightseG Innovations
GPU technology improves Citrix virtual desktops and applications, but to truly deliver an immersive user experience that scales, organizations need to manage the complete GPU deployment lifecycle – from designing the infrastructure, to managing and optimizing a production environment, to responding to user issues dynamically, in real-time.
eG Innovations in partnership with NVIDIA is delivering comprehensive monitoring capabilities that enable IT to better manage all aspects of the user experience, tapping into new GPU-sourced insights that aid in design right-sizing, proactive infrastructure optimization and help desk issue remediation. This new joint solution integrates eG Enterprise with NVIDIA GRID software to provide actionable insights through host-level, guest-level, and application-level analytics.
View these slides from our Citrix Ready webinar where Bala Vaidhinathan, CTO, eG Innovations and Sumanta Chakraborty, GRID Product Manager, NVIDIA discussed how to deliver complete lifecycle management of the end user experience for GPU-powered applications and desktops.
Visualization for the Manufacturing EnterpriseGermar Nikol
Kisters 3DViewStation:
- Your data; how, when, where you want
- Making visual data available for the enterprise
- Modern software technology and robust components
- Simple to deploy & use by all users with extensibility to
- sophisticated role based behavior
- Game changing lightning speed
Why 3DViewStation?
- Breadth of data
- MultiCAD 3D, PDF , graphics
- easily handles large/complex data
- Very Very FAST
- So you can stop waiting to see your data
NVIDIA vGPU - Introduction to NVIDIA Virtual GPULee Bushen
Lee Bushen, Senior Solutions Architect at NVIDIA covers the basics of NVIDIA Virtual GPU.
- Why vGPU?
- How does it work?
- What are the main considerations for VDI?
- Which GPU is right for me?
- Which License do I need?
Cloud Native Night November 2017, Munich: Talk by Mario-Leander Reimer (@LeanderReimer, Principal Software Architect at QAware).
Join our Meetup: www.meetup.com/cloud-native-muc
Abstract: Until today existing enterprise applications are integrated, tested, and deployed as monoliths. This is very time-consuming and hinders agile business models. Cloud technology promises unlimited scalability, short release cycles, quick deployments and antifragility. But can we evolve these systems into the cloud with reasonable effort? What do we have to change and what are the risks involved? This talk will share the experiences from a real world customer project and present an industrialized approach for the Cloud-native evolution of existing IT landscapes.
- Lợi ích và ưu điểm của giải pháp VDI.
- So sánh chỉ số ROI giữa giải pháp VDI và PC qua 1 ví dụ thực tế.
Thông tin liên hệ tư vấn giải pháp VDI:
Công ty Cổ phần Tin học Lạc Việt
Hotline: (+84.8) 38.444.929
Email: info@lacviet.com.vn
Website: http://www.lacviet.vn/
When you have more SolidWorks users than you have SolidWorks licenses, or if you need to share a particular add-on among multiple users, using network/floating licenses is the way to go. What if you could do the same with the hardware needed to run SolidWorks – without having to physically move the hardware to the user or the user the hardware? What if there was a way to move SolidWorks into the cloud to increase its impact on your organization? This is where NVIDIA GRID VCA comes into play. GRID VCA is a network appliance that allows you to use SolidWorks from anywhere and anytime from Windows, MAC, or Linux with the same level of performance that you’re used to with your current, conventional desktop solution. Join Product Manager Jared Conway for an in-depth look at this cutting-edge technology that brings SolidWorks 2014 to the cloud.
Kisters 3DViewStation - CAD viewer for PLM and stand aloneGermar Nikol
Quick overview over Kisters 3DViewStation product family. Fast CAD viewer for PLM & stand alone usage. Modern UI, support all major CAD file formats like Catia V5, NX, ProE/Creo, JT, STEP, 3D-PDF and more. Export into various file formats incl 3D-PDF, JT, STEP, VRML... More at http://viewer.kisters.de
CC-4006, Deliver Hardware Accelerated Applications Using RemoteFX vGPU with W...AMD Developer Central
Presentation CC-4006, Deliver Hardware Accelerated Applications Using RemoteFX vGPU with Windows Server, by Derrick Isoka at the AMD Developer Summit (APU13) November 11-13, 2013
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
8. Horizon Blast
Extreme
提供最佳遠端
連線使用體驗
• End users enjoy better
battery life across their
devices
• Supports end users with
great performance even
over lossy networks
• Provides organizations with
added flexibility when
optimizing the user
experience across use
cases
• Ensures end users have the
same great experience
regardless of where their
infrastructure and desktops
are deployed from.
Designed to deliver
better user experience
across a range of low-
cost devices including
zero and thin clients.
8CONFIDENTIAL
9. 70+ certified thin and
zero clients
New SwiftPoint
GT Mouse
9CONFIDENTIAL
11. Horizon Clients / Broadest Support for Every Use Case
Feature-Rich User Experience
Horizon 搭配 Blast Extreme 提供完整企業應用情境與需求
Hosted Apps
& RDS
Desktops
Printing Scanning
& Imaging
Devices
USB Audio In/OutSmart
Card
Client Drive
Redirection
Windows Media
Redirection
File Type
Association
Unified
Communi-
cations
Webcams
Session
Enhancement
SDK
RDP VC
Bridge SDK
Mac iOSLinux
Thin Clients
Windows Android Chrome OS HTML
(Blast Only)
SDKsWindows VDI, RDSH Apps/Desktop & Linux VDI
CONFIDENTIAL 11
12. Server
vSphere
Quadro Driver
VMware Horizon Gets Even Better with NVIDIA GRID
NVIDIA GRID
Virtual PC
NVIDIAGRIDmanagementtools
NVSMI,NVML
NVIDIA Tesla GPU
H.264 Encode
NVIDIA GRID
Virtual Workstation
NVIDIA
Graphics Driver
NVIDIA Quadro
Driver
NVIDIA GRID
vGPU manager
vGPU vGPU
Scheduling – 3D, CE, NVENC, NVDEC
12CONFIDENTIAL
13. latency
reduction
NVIDIA Blast Extreme Acceleration
Increased scalability and performance for graphics workloads
increase
in density
bandwidth
reduction
Source: NVIDIA GRID Performance Engineering Lab
51ms
Up to
89%
Up to
18%
Up to
13CONFIDENTIAL
14. How It Works with Software Encode
CLIENT
Render
Kybd/Mse
SERVER with GRID GPU
Capture
Encode
IP
Network
CPU NIC
GRID GPU WORKLOAD
NON GPU WORKLOAD
Decode
Render
14CONFIDENTIAL
15. How it Works with NVIDIA Blast Extreme Acceleration
CLIENTSERVER with GRID GPU
Capture
Encode
IP
Network
CPU NIC
GRID GPU WORKLOAD
NON GPU WORKLOAD
Render
Render
Kybd/Mse
Decode
15CONFIDENTIAL
16. NVIDIA Blast Extreme Acceleration
• Reduces overall latency
• Offloads CPU workload to GPU
• Increases scalability
• Improves user experience
• Lowers N/W bandwidth demand
GRID GPU
3D
HW Encoder
Framebuffer
Apps
Apps
Apps
Graphics
commands
Context/Display Capture
Render
Target
Front
Buffer
H.264
streams
Remote Client
16CONFIDENTIAL
17. NVIDIA Blast Extreme Acceleration
User Experience
• 6-13% higher average FPS
• 27-51ms less latency
• 48-89% bandwidth reduction
with TCP and 19% with UDP
You don’t have to chose, you get all at the same time
Source: NVIDIA GRID Performance Engineering Lab
Improves User Experience AND Reduces TCO!
Scalability
• 18% higher user density for
ESRI ArcGIS Pro
17CONFIDENTIAL
20. VMware & NVIDIA GRID Test Drive
Try graphics accelerated virtual desktops for free
• Instant access to the latest NVIDIA GRID
with VMware Horizon 7
• Experience workstation applications like
AutoCAD, SOLIDWORKS, and ArcGIS Pro
in a remote desktop
• Prove to yourself in less than an hour
virtual workstations are here today
www.nvidia.com/trygrid
Free Cloud Trial
20CONFIDENTIAL