Hi All.

I want to share this with you all, Luke Wignall and his team from NVIDIA have created some great AppGuides, that helps with understanding how many users can you put on a NVIDIA GRID system with either K1/K2 in a VMware environment. These guides are made together with vendors such as Autodesk. The guides focus on following apps Autodesk AutoCAD.

In this blogpost my goal is to highlight the great work NVIDIA have done creating the scalability app guides and these guides helps you if you want to virtualize Autodesk AutoCAD 2015 with NVIDIA GRID and VMware Horizon. The guides are great – cause they give an idea what you would require in a virtualized environment and these can be reused for other virtualized platforms such as Citrix and Microsoft – keep in mind that results might be different. If you would like to get more informations about how the setup is configured and which methodology i recommend you read the AppGuide, you can download it in under source in the end of this article.

The appguides gives a great idea to understand the impact of CPU and how the GPU are giving value.

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About AutoCAD 2015

Autodesk AutoCAD is one of the most globally used software platforms for CAD design and documentation.  AutoCAD leverages both CPU and GPU to deliver a high quality user experience, and as a result, there are several things that need to be considered in architecting your GRID vGPU solution: the size of your map data, the concurrency of your users, and the level of interaction with primary 2D and some 3D data.

Results NVIDIA Appguide for Autodesk AutoCAD 2015

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The following are results of our testing, looking for the greatest scalability while still within performance expectations.  It’s important to note that your users, your data, and your hardware will impact these results, and you may decide a different level of performance or scalability is required to meet your individual business needs. As the Catalyst benchmark does not push AutoCAD’s GPU capabilities, and was built to push the limits of dedicated hardware versus the shared resources of VDI, the decision was made to stop testing once the CPU was approaching 100% utilized and test times had climbed past twice what we were finding on the a single physical workstation with dedicated resources.  We then met with the Autodesk AutoCAD team, discussed the results, reviewed the tests in action, and physically verified that this was still within what a typical user would deem acceptable and usable. When running AutoCAD, anything higher than 20 FPS is awesome, but users generally don’t notice the difference once you exceed 30 FPS.  However, once you drop below 10 FPS, the software is going to feel very sluggish and become unusable by the time you hit 5 FPS. • 20 fps above is good • Below 10fps – sluggish • 5 fps – unusable

  • 32VM : K220Q perform better than K120Q but K120Q is still maintain avg 31FPS. 
  • 40VM : Due to vGPU configuration, need K120Q, avg FPS is 24 FPS
  • 48VM : one you hit 40 VM running, avg FPS is dropping below 10 FPS. 

AutoCAD requires significant CPU resources, so investing in higher CPU speeds and more cores will pay off on performance and scalability.  For medium to large models, K240Q performance might be better for a real use scenario. Since your own situation is different, you must test with your own models to ensure the most accurate results. The chart below shows a comparison between two different sets of VDI guests, one using the K2 and its K220Q profile, the other a K1 and its similarly sized frame buffer profile, the K120Q:

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Notice that as scale, the number of concurrent VM’s increases, there is an obvious drop in performance, and logs will show this is the CPU becoming 100% utilized.  This is a “peak workload” test as all sessions are started in unison, we would expect humans to be more staggered in their workflow.

The next chart shows results when we add that synthetic human behavior, we delay the launching of each session by 5 seconds, this offsets the tests and prevents all tests hitting the same function and impacting the CPU in unison.

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Notice that with delayed launching, or staggered starts, the performance remains high to a much greater scale of concurrent sessions.

Additional findings from this testing:
vCPU –  2 vCPU are sufficient for this benchmark, however increasing model size and complexity will change this. 
• Virtual System Memory – 2 GB is sufficient for this benchmark, however increasing model size and complexity will change this.  
• K220Q/K120Q  : both show capped FPS caused by frame rate limiting (FRL) 
• vGPU has 45 fps frame limiter for performance balancing across multiple VM

AutoCAD 2015 Users per server

Based on the NVIDIA GRID™ Performance Engineering Lab (GRID P.E.L.) findings, NVIDIA GRID provides the following performance and scalability metrics for Autodesk AutoCAD 2015. These metrics are based on tests with the lab equipment shown in the graphic below, using the Cadalyst benchmark, and in working with Autodesk and their emphasis on end user usability.  Of course, your usage will depend on your models and equipment, so this Application Guide is intended to be used as a starting point for your implementation.

autocad-users-per-server

 

Source

Download the NVIDIA GRID vGPU APPLICATION GUIDE FOR AUTODESK AUTOCAD 2015 ON VMWARE HORIZON here

 

Hi All.

I want to share this with you all, Luke Wignall and his team from NVIDIA have created some great AppGuides, that helps with understanding how many users can you put on a NVIDIA GRID system with a K2 in a VMware environment. These guides are made together with vendors such as ESRI. The guides focus on following apps ESRI ArcGIS Pro.

In this blogpost my goal is to highlight the great work NVIDIA have done creating the scalability app guides and these guides helps you if you want to virtualize ESRI Pro with NVIDIA GRID and VMware Horizon. The guides are great – cause they give an idea what you would require in a virtualized environment and these can be reused for other virtualized platforms such as Citrix and Microsoft – keep in mind that results might be different. If you would like to get more informations about how the setup is configured and which methodology i recommend you read the AppGuide, you can download it in under source in the end of this article.

The appguides gives a great idea to understand the impact of CPU and how the GPU are giving value.

esri

arcgis

About ESRI ArcGIS Pro

ESRI ArcGIS Pro 1.0 is a  Geographic Information Systems (GIS) application for mapping, visualizing, editing, and analyzing spatial data.  Esri recommends a GPU for best end user experience, but as ArcGIS Pro 1.0 also generates heavy CPU load, this also needs to be considered in architecting your vGPU solution.  The size of your map data, the concurrency of your users, and the level of interaction with 3D data all need to be considered when defining your user groups.

Results NVIDIA Appguide for ESRI ArcGis Pro

esri-nvidia-vmware

The following are the full results of our testing.  The baseline was the 45 second draw time sum – anything greater than that value represented a worsening UX while less would be a better UX.  Looking for both performance and scalability, we tested looking for the greatest number of virtual desktops, and therefore the greatest scalability, while still within performance expectations and the threshold of 45 seconds.  It’s important to note that your users, your data, and your hardware will impact these results and you may decide a different level of performance or scalability is required to meet your individual business needs.   Tests were also run to look for potential NUMA issues that can negatively impact performance.  This is where the physical GPU and its PCI-e channels are tied to one physical CPU, while the virtual desktop is running on the other physical CPU, so communication with the physical GPU has to move over the QPI between the two physical CPUs.  This creates a bottleneck and can cause performance issues.  However, in our testing, the application is sufficiently CPU bound that NUMA affinity made little difference. The results in the table below show the decrease in performance as we increased vCPU counts, and then the increase in scalability with synthetic human behavior (think time):

esri-arcgis-users-pr-server-2

ArcGIS – users per server

Based on NVIDIA Performance Engineering Lab findings, NVIDIA GRID provides the following performance and scalability metrics for Esri ArcGIS 3D Pro 1.0. These metrics are based on tests with the lab equipment shown in the graphic below, using the Esri API based “heavy 3D” benchmark and in working with Esri to determine acceptable performance.  Of course, your usage will depend on your models, but this is guidance to help guide your implementation.

esri-arcgis-users-pr-server

Source

Download the NVIDIA GRID vGPU APPLICATION GUIDE FOR ESRI ARCGIS PRO 1.0 – 3D ON VMWARE HORIZON here

 

NVIDIA GRID vGPU 346.68-348.27

NVIDIA have released a new GRID Virtual GPU Manager 346.68 for Citrix XenServer 6.5 and VMware vSphere 6.
NVIDIA have in this release also released Windows drivers for vGPU 348.27

Important:

The GRID Virtual GPU Manager 346.68 is not updated in this release, its only the Windows drivers for vGPU 348.27
If you have GRID Virtual GPU Manager 346.68 installed in either XenServer or VMware you only need to update your VMs.

The GRID vGPU Manager and Windows guest VM drivers must be installed together.

Older VM drivers will not function correctly with this release of GRID vGPU Manager. Similarly, older GRID vGPU Managers will not function correctly with this release of Windows guest drivers.

 

What is fixed in Windows driver for vGPU 348.27 VM using Citrix XenServer 6.5

346.68_-_xenserver_fix

What is fixed in Windows drivers for vGPU 348.27 VM using VMware vSphere 6

346.68_vSphere_fix

 

Source

Download NVIDIA GRID vGPU 346.68-348.27 for Citrix XenServer 6.5 here

Download NVIDIA GRID vGPU 346.68-348.27 for VMware vSphere 6 here

NVIDIA GTC 2015

Hi All

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After a succesfull NVIDIA GTC (gpu technology conference) in San Jose, March 2015. It was amazing all the brain gathered in one place, at NVIDIA GTC 2015, I had so many great conversations with friends, partners and there was one sentence I thought through “try to imagine what could you do for the world if we tried to build 1 thing with all this brain power in joined forces” . NVIDIA is doing amazing things and this year it was all about “Deep Learning” and “NVIDIA GRID”. Google was part of the keynote and it was very interesting seeing how far AI is evolving, Elon Musk the guy behind Tesla, Space-X was also on stage.

NVIDIA GRID was big this year and all the vendors, Lenovo, HP, Dell, Cisco, Supermicro, Citrix, Vmware and such was there. There was tonz of success stories and best practices. So amazing to learn all the best on GPU enabled application/desktop using either Citrix or VMware, this is the conference to learn from people that are early adapters, the best of the best. If you feel missed out come next year and you understand what I mean. This conference is very different compared to other conferences. This is here it all happens, all industries meet and make a fusion across GPU’s. If you missed this year GTC, I highly recommend you go to the next year GTC which takes place in April 4-8th, 2016 in Silicon Valley

I have captured some of the best moments

Great meeting Lakeside Software and seeing they had the “print” of the case study I did with Magnar Johnsen we did for Firstpoint client AIBEL.

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I meet for the first time the CEO and founder of NVIDIA Jen-Hsun Huang, he is a very inspiring person.

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Another great friend was Fred Devoir from Textron “the man in the middle” and another great friend and fellow CTP, Dane Young.

Fred Devoir had two sessions at GTC, I highly recommend you watch them both.

If you attended and could see all the sessions or you couldn’t join GTC, now all 500 sessions are available for the public. #AMAZING, thank you NVIDIA for this.

I have in this blogpost made it easy to find all the great sessions about NVIDIA GRID

Learn the best of the best about NVIDIA GRID implementations:

If you want to Watch the session I did at NVIDIA GTC click here

Click the sessions with the “blue” link and the recorded session will start.

Citrix sessions

 

Gunnar Berger, CTO from Citrix
S5872 – Worlds Collide: What Happens When VDI Meets GPU? 

Derek Thorslund, Director of Product Management, HDX, Citrix Systems
Mayunk Jain, Senior Technical Marketing Manager, Citrix Systems
S5390 – Citrix HDX 3D Virtualization: Six Years of Remoting 3D Apps

Roland Wartenberg Director Global SAP Alliance, Citrix
David Cruickshank Sr. Director, Strategy and Operations, SAP Co-Innovation Lab, SAP Labs
S5377 – Running SAP 3D Visual Enterprise Using Citrix and NVIDIA – What about Performance?

Erik Bohnhorst, SR. GRID Solution Architect from NVIDIA
Ronald Grass, SR. Systems Engineer from Citrix

S5393 – Evolution of an NVIDIA GRID™ Deployment

 

Citrix customer success stories:

Success story – Ford Motor Company

Chip Charnley, Technical Expert from Ford Motor Company
S5206 – So You Want to Deploy High Resolution Graphics Desktop Virtualization

Success story – Roger Williams University

George Thornton, VP of Engineering from Logical Front
Jim Galib IT Director from Roger Williams University
Ryan Tiebout, System Operations Manager from Rogers Williams University

S5225 – University’s Desktop Virtualization Delivers Graphics-Intense Apps on Any Device

Success story – Duke University

G Allan Johnson Charles E Putman Professor of Radiology,Physics, and Engineering from Duke University

S5558 – Publishing Medical Image Studies with NVIDIA GRID™

Success story – Georgia Institute of Technology College of Engineering

Florian Becker Sr. Director, Strategic Alliances, Lakeside Software

Didier Contis Director Technology Services, Georgia Institute of Technology College of Engineering

S5128 – Case Study: Georgia Tech Uses Citrix XenApp with NVIDIA® GRID™ to Deliver Engineering Applications

Success story – Textron

Fred Devoir Sr. Architect, Textron Inc.
Randall Siggers Solutions Architect, Textron Inc.

S5485 – Exploring Design Considerations: CAD/CAM Experiences from the Experts Using Citrix and VMware

Success story – The Kanavel Group

Garrett Taylor CIO, The Kanavel Group

S5620 – Implementing NVIDIA GRID with XenDesktop: A Technical Deep Dive


VMware sessions

Mark Margevicius Director, EUC Strategy, VMWare

S5533 – Dedicating GPUs for VDI and SBC Workloads: How the ROI and Business Value More Than Justifies the Expense

Banit Agrawal Senior Performance Engineer, VMware
Luke Wignall GRID Performance Engineering Manager, NVIDIA
Lan Vu Performance Engineer, VMware

S5385 – Benchmarking 3D workloads at scale on NVIDIA GRID with Horizon View 6 using View Planner

Jeff Weiss NVIDIA GRID SA Manager, NVIDIA
Luke Wignall GRID Performance Engineering Manager, NVIDIA

S5405 – VMware Horizon 6 and NVIDIA vGPU: Installation and Configuration Best Practices

VMware customer success stories

Success story – Jacobs Engineering

Jeff Weiss NVIDIA GRID SA Manager, NVIDIA
Randall Siggers Solutions Architect, Textron Inc.
Ali Rizvi PLM Support Analyst, Bell Helicopter

S5345 – VMware Horizon 6 View with NVIDIA GRID: A Practical Discussion of a Real-World Deployment

Success story – USC Information Sciences Institute

John Paul Walters Project Leader, USC Information Sciences Institute

S5323 – Achieving Near-Native GPU Performance in the Cloud
Download PDF of presentation

Success story – HDR Inc

Clint Pearson IT Infrastructure Systems Lead, HDR, Inc.
Jeremy Korell IT Infrastructure Systems Lead, HDR, Inc.

S5414 – GPU-Enabled VDI and Rendering at Architecture and Engineering Firm HDR

Vendors (HP, Cisco, Lakeside Software)

System Integrators of NVIDIA GRID


 System Integrators success stories of NVIDIA GRID

Success story – Poppelgaard.com

Thomas Poppelgaard, Technology Evangelist from Poppelgaard.com

S5445 – Building the Best User Experience with Citrix XenApp & NVIDIA® GRID™

Success story – PQR

Jits Langedijk, Senior Consultant from PQR

S5265 – Customer Success Story: Desktop Virtualization with NVIDIA GRID for a Large Construction Company

Success story – IMSCAD

Adam Jull CEO, IMSCAD

S5219 – Delivering Production Deployments Using Virtualization and NVIDIA GRID™

Success story – Wipro

Michael Harwood Citrix Architect, Wipro Limited

S5283 – Remote Visualization in Healthcare


Panel discussions

Aivars Apsite, Technology Strategist, Metro Health
Cedric Courteix, Partner Alliance Architect, VMware
Clint Pearson, IT Systems Lead, HDR Inc.
John Meza, Performance Engineering Team Lead, Esri

S5542 – Scaling Out Virtual GPU with NVIDIA GRID and VMware Horizon


NVIDIA sessions about Citrix & VMware

Jason Southern Senior Solution Architect, NVIDIA

S5213 – Effective Planning for Density and Performance in a Virtual Desktop Deployment with NVIDIA GRID™

Manvender Rawat GRID Applied Engineer, NVIDIA
Jason K Lee GRID Applied Engineer, NVIDIA

S5560 – Scalability Testing for Virtualized GPU Environments

Introducing The End User Computing Podcast

Over the last several years, many of us in the industry have discussed the need for community driven End User Computing podcasts focusing on virtualization topics for people designing, deploying, and using Citrix, Microsoft, VMware and surrounding†technologies. I am excited to share that this month, two new Podcasts are being launched! First, a warm congratulations to Jarian Gibson and Andy Morgan on the successful launch of their Podcast, Frontline Chatter. Here’s to many years of continued success! Next, allow me to introduce the End User Computing Podcast!

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