Tag: Nvidia

Autodesk AutoCAD 2016 / 2017 critical hotfix for Citrix customers using NVIDIA or INTEL GPUs

Earlier this year I have seen several customers having issues with AutoCAD in Citrix not defaulting to the primary display adapter, so the GPU wouldn be fully functioning and Autodesk AutoCAD 2016/2017 would turn off hardware acceleration. This issue have been seen on NVIDIA Gpus such as GRID, NVIDIA also have a official KB on this http://nvidia.custhelp.com/app/answers/detail/a_id/4092/ and issue is also seen with INTEL gpu such as Iris Pro Graphics more specific on solutions with HPE Moonshot 710p and 710x.

Issue is identified on both Citrix XenApp 7.x (Windows Server OSs) and Citrix XenDesktop 7.x (Workstation OSs)

“The primary display adapter is not shown as the default in a Citrix environment.”

autocad_issue

I am happy to share that Autodesk have finally fixed this “bug” with Citrix and now the GPUs will work correctly with Autodesk AutoCAD 2016 and Autodesk AutoCAD 2017 when you apply below hot fix for the product you have.

Accumulated hotfix 4 for AutoCAD 2016 based applies to:

This hotfix for citrix applies to the following releases with the AutoCAD 2016 Service Pack 1 already installed:

  • Autodesk AutoCAD 2016
  • Autodesk AutoCAD Architecture 2016
  • Autodesk AutoCAD Civil 3D 2016
  • Autodesk AutoCAD Electrical 2016
  • Autodesk AutoCAD Map 3D 2016
  • Autodesk AutoCAD Mechanical 2016
  • Autodesk AutoCAD MEP 2016
  • Autodesk AutoCAD P&ID 2016
  • Autodesk AutoCAD Plant 3D 2016
  • Autodesk AutoCAD Utility Design 2016

Issues Resolved by This Hotfix for citrix

  • There is a security vulnerability with ATIL image files within a drawing.
  • The primary display adapter is not shown as the default in a Citrix environment.
  • Opening an Excel hyperlink resizes the AutoCAD application window to match the Excel sheet size.
  • Locked objects can be edited by Matchprop command.
  • Publish borders are cut off with certain sheet sizes.
  • Background masks are not ignoring the Xrefoverride setting.
  • Can crash when panning transparently in multiple viewports.
  • Performance problem opening files containing specific objects in AutoCAD 2016 may appear as if files cannot be opened.
  • Use of the LISP (command) function within the (mapcar) function results in VVC Internal Error.
  • Grip stretch doesn’t work correctly when DYNMODE equals value other than 2 or 3.
  • acedCallBackOnCancel is not detected for Lispcallable Functions.
  • Certain VBA Macros throw an execution error.
  • DWG file fails to insert into another DWG file.
  • Can crash when Copy/Paste a block by Ctrl+C, Ctrl+V.
  • Can crash when opening AutoCAD in Windows 10.
  • AcSettingSync.exe launched when running OPTIONS command.
  • Annotations in Architectural units format are changing to Decimal format.

Accumulated hotfix 4 for AutoCAD LT 2016 applies to:

this hotfix for citrix applies to the following release:

  • Autodesk AutoCAD LT 2016 with the AutoCAD LT Service Pack 1 already installed

Issues Resolved by This Hotfix for citrix

  • There is a security vulnerability with ATIL image files within a drawing.
  • The primary display adapter is not shown as the default in a Citrix environment.
  • Opening an Excel hyperlink resizes the AutoCAD LT application window to match the Excel sheet size.
  • Locked objects can be edited by Matchprop command.
  • Publish borders are cut off with certain sheet sizes.
  • Background masks are not ignoring the Xrefoverride setting.
  • May crash when panning transparently in multiple viewports.
  • Performance problem opening files containing specific objects in AutoCAD LT 2016 may appear as if files cannot be opened.
  • Grip stretch doesn’t work correctly when DYNMODE equals value other than 2 or 3.
  • DWG file fails to insert into another DWG file.
  • Can crash when Copy/Paste a block by Ctrl+C, Ctrl+V.
  • Can crash when opening AutoCAD LT in Windows 10.
  • AcSettingSync.exe launched when running OPTIONS command.
  • Annotations in Architectural units format are changing to Decimal format.

Apply this Service Pack to the following Autodesk products running on all supported operating systems and languages. Be sure to install the correct Service Pack.

This Service Pack can be applied to AutoCAD 2017 installed as a standalone application, AutoCAD-based Vertical products, and the Autodesk Design Suites listed below.

AutoCAD and Verticals Products:

  • AutoCAD 2017
  • AutoCAD LT 2017
  • AutoCAD Architecture 2017
  • AutoCAD Civil 3D 2017
  • AutoCAD Electrical 2017
  • AutoCAD Map 3D 2017
  • AutoCAD Mechanical 2017
  • AutoCAD MEP 2017
  • AutoCAD P&ID 2017
  • AutoCAD Plant 3D 2017
  • AutoCAD Utility Design 2017

Autodesk Design Suites:

  • Autodesk AutoCAD Design Suite 2017
  • Autodesk AutoCAD Inventor LT Suite 2017
  • Autodesk AutoCAD Revit LT Suite 2017
  • Autodesk AutoCAD with Advance Steel 2017
  • Autodesk Building Design Suite 2017
  • Autodesk Factory Design Suite 2017
  • Autodesk Infrastructure Design Suite 2017
  • Autodesk Plant Design Suite 2017
  • Autodesk Product Design Suite 2017
  • Autodesk Revit Collaboration Suite 2017

Display

 

Open and Save

  • Opening a drawing file using an Excel hyperlink was repositioning the AutoCAD application window.

PDF Import

  • Importing a PDF Underlay that was attached with relative path could fail.

Xref

  • The Xref status incorrectly displays the “Needs reloading” message when the dataset is opened from a UNC path to a shared folder.

General

  • When opening drawings created with AutoCAD Architecture, AutoCAD might crash if the drawing was saved again.
  • Plotting with certain visual styles might produce incorrect results.
  • Migrating custom settings might fail.

 

Source

Download the Autodesk AutoCAD 2017 Service Pack 1 here

Download Accumulated hotfix 4 for AutoCAD 2016 based products here

Download Accumulated hot fix 4 for AutoCAD 2016 here

NVIDIA GRID – AppGuide (REVIT)

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 Revit.

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 Revit 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.

Autodesk-Logo-2013

revit2015

About Autodesk Revit 2015

Autodesk Revit is Building Information Modeling (BIM) software with features for architectural design, MEP and structural engineering, and construction.  Revit requires a GPU as you rotate, zoom, and interact with drawings. It also creates heavy CPU load as it manages all the elements of a drawing via a database, which means we need high performance storage as well.  The heaviest Revit CPU usage occurs during data-rich operations like file open/save and model updates. As a result both CPU and GPU need to be considered in architecting your vGPU solution.  The size of your drawing file, the concurrency of your users, and the level of interaction with 3D data need to be factored into defining your user groups.

Results Appguide for Autodesk Revit 2015

autodesk-nvidia-vmware

The following are results of our testing, looking for the greatest scalability while still within performance expectations.  Its 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 RFO Benchmark does not currently exercise some of Revit’s newest 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 host’s 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 Revit team, discussed the results, reviewed the tests in action, and determined with eyes on that this was still within what a typical user would deem acceptable and usable. It’s been well documented that storage performance is key to providing high performance graphics workloads, especially with many users and ever-growing file or model sizes.

FYI – Lower scores are better, representing less time to perform the activity in below tables.

results with Intel Ivy Bridge processors & NVIDIA GRID K2 (K220Q GPU Profile)

revit2015_01

results with Intel Ivy Bridge processors & NVIDIA GRID K2 (K240Q GPU profile)

revit2015_03

results with Haswell processors & NVIDIA GRID K2 (K240Q GPU profile)

revit2015_04

Here are the results when we push for more scalability, bringing the maximum number of VDI guests to 20 and 24.  We have added a 15 second staggered start to emulate synthetic human behavior.

revit2015_05

Revit 2015 users per server

Based on our findings, NVIDIA GRID provides the following performance and scalability metrics for Autodesk Revit 2015; using the lab equipment shown below, using the RFO benchmark, and in working with Autodesk and their emphasis on usability.  Of course, your usage will depend on your models but this is guidance to help guide your implementation.
revit2015-users-pr-server

 

Source

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

 

NVIDIA GRID 2.0 integrated in Microsoft Azure

AzureConHeader

NVIDIA GRID 2.0 integrated in Microsoft Azure

At Microsoft Azurecon 2015, NVIDIA announced that Microsoft will offer NVIDIA GPU-enabled professional graphics applications and accelerated computing capabilities to customers worldwide through its cloud platform, Microsoft Azure.

Deploying the latest version of NVIDIA GRID in its new N-Series virtual machine offering, Azure is the first cloud computing platform to provide GRID 2.0 virtualized graphics for enterprise customers.

nvidia in azurecustomized-experience

For the first time, businesses will have the ability to deploy NVIDIA Quadro® grade professional graphics applications and accelerated computing on-premises, in the cloud through Azure, or via a hybrid of the two using both Windows and Linux virtual machines. Azure will also offer customers supercomputing-class performance, with the addition of the Tesla Accelerated Computing Platform’s flagship Tesla® K80 GPU accelerators, for the most computationally demanding data center and high performance computing (HPC) applications.

Unprecedented Virtualized Graphics Performance

With NVIDIA GRID enterprises can deliver graphics intensive applications from companies such as Autodesk, ESRI and Siemens from the cloud to their users. Announced last month, NVIDIA GRID 2.0 provides the NVIDIA Quadro GPU driver support, features and performance that graphics-intensive applications require, as well as other enhancements including double the application performance of the previous generation of GRID GPUs and Linux OS support.

Supercomputing in the Cloud

The Tesla Accelerated Computing Platform is designed from the ground up for power-efficient, high performance computing (HPC), computational science, supercomputing, data analytics and deep learning applications.

Powering some of the world’s highest performance supercomputers, the Tesla platform delivers dramatically higher performance and energy efficiency than a CPU-only approach and unprecedented application throughput in the data center.

By deploying the Tesla K80 GPU accelerator in its N-Series virtual machines, Azure dramatically expands access to supercomputing-class performance, enabling enterprises worldwide to accelerate their most demanding workloads, without requiring them to invest in, build and maintain dedicated computing resources.

Azure N-series, a new family of Azure Virtual Machines 

Available in preview within the next few months, the N-series will feature the NVIDIA Tesla Accelerated Computing Platform as well as NVIDIA GRID 2.0 technology, providing the highest-end graphics support available in the cloud today.

azure

Source

NVIDIA

Microsoft

 

NVIDIA GRID 2.0

Nvidia grid 2.0 2x

NVIDIA GRID 2.0

NVIDIA have released the next generation of GRID 2.0. GRID 2.0 is based on the Maxwell architecture and the GRID 1.0 (K1/K2) was based on the Kepler architecture. I have been working with the GRID 1.0 technology since 2012 and it have matured alot in its 2 years of history. When the K1/K2 was released they was first working with GPU pass-through and then vGPU got introduced and you could virtualize the GPUs and increase density, which people wanted. Citrix was with their hypervisor the first company that supported NVIDIA GRID 1.0 and they was also the first company integrating vGPU into their Citrix Studio, so companies could easier provisioning machines with either MCS technology or PVS technology. VMware supported GRID 1.0 vGPU technology in 2015 in their hypervisor VMware vSphere 6.0 and fully integrated with their EUC stack VMware View, so companies can fully provisioning machines. The great thing about GRID 2.0 is that there is no need for a conversation when to choose either a K1 or a K2, if you required GPU compute or GPU framebuffer, M60 are being added to the tope end of the range  and bringing 2x the performance, and if you have bladeserver’s, you can add the powerfull vGPU technology into the bladeserver’s with the M6.

Please notice that M6 will 0nly be supporting newer architecture of vendors not old platforms.

Maxwell architecture

Maxwell architecture is the new architecture of GPUs and a powerful GPU you might know is the Titan X

New GPUs GRID 2.0 and specifications

In GRID 2.0 NVIDIA now have a GPU for blade servers a MXM single socket, High-end GPU called M6

In GRID 2.0 NVIDIA replaces K1/K2 with the new PCIe 3.0 Dual Socket, Dual High-end GPU called M60
The M60 delivers 4096 CUDA or compute and 16GB GDDR5 memory/framebuffer

The M60 has 6x the h.264 encoders of the K2, and also Maxwell supports 4:4:4 chroma sub sampling, which is great news for encoders.

maxwell_grid

Certified GRID 2.0 servers

Click the link to see which servers are certified for M60 and M6
http://www.nvidia.com/object/grid-certified-servers.html

M6 have following servers supported:

m6 certifiedM60 have following servers supported:

m60 certificed

vGPU software editions and license

nvidiagrid20licensemodel

NVIDIA GRID 2.0 software is available in three editions that deliver accelerated virtual desktops to support the needs of your users. These editions include Virtual PC, Virtual Workstation, and Virtual Workstation Extended. GRID perpetual licenses are sold by Concurrent User (CCU).

NVIDIA GRID 2.0 (CCU) stands for ConCurrent User. So basically, per running VM as regardless of whether the user is connected to the VM or not, the VM is connected to the GPU and so consumes a license

NVIDIA GRID 2.0 software is much more than a “driver”. While the software package does include a guest driver for Windows and Linux, it also includes the NVIDIA GRID vGPU manager for VMware vSphere and Citrix XenServer, as well as the license server and M6/M60 mode switching utility.

NVIDIA Tesla M6 and M60 profiles are specific to the M6 and M60. There will be similar profiles as to what NVIDIA had on K1 and K2 (512 MB through 4 GB), all with twice the number of users on M6/ M60 compared to K1/K2. Plus, there is an additional 8 GB profile on M6/M60 which also adds support for CUDA, which wasn’t available on K1/K2.

NVIDIA GRID 2.0 is Maxwell only. If you are an existing customer K1/K2 are unchanged and will remain as a parallel option.

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nvidiagrid20licensemodel 3

The NVIDIA GRID 2.0 solution

nvidiagrid20

Summary

GA of NVIDIA GRID 2.0 (M60 and M6) will be 15 September 2015.

To get NVIDIA GRID 2.0 if you are a Citrix customer you need:
Server hardware that supports NVIDIA GRID 2.0 +NVIDIA GPU M60 or M6 + NVIDIA vGPU Software license + Citrix XenDesktop or XenApp License (XenServer is included in XD/XA licenses)

To get NVIDIA GRID 2.0 if you are a VMware customer you need:
Server hardware that supports NVIDIA GRID 2.0 +NVIDIA GPU M60 or M6  + NVIDIA vGPU Software license + VMware Horizon license (Horizon includes vSphere for Desktop)

If you are a Citrix customer that wants to run on VMware vSphere you need:

Server hardware that supports NVIDIA GRID 2.0 + NVIDIA GPU M60 or M6 + NVIDIA vGPU Software license + Citrix XenDesktop or XenApp License + VMware vSphere Enterprise Plus license or vSphere for Desktop license

Source

NVIDIA GRID Test Drive

NVIDIA GRID Website

NVIDIA GRID News

NVIDIA GRID YouTube Channel

Questions? Ask on our Forums

NVIDIA GRID on LinkedIn

Follow NVIDIAGRID on Twitter

Citrix License FAQ regarding vGPU 

Vmware License FAQ regarding vGPU

 

Lakeside Case Study – sizing NVIDIA GRID vGPU

aibelcoverLakeside Case Study – sizing NVIDIA GRID vGPU

Hi all

I am very proud to share the results of the work I did with my friend and coworker Magnar Johnsen from FirstPoint. We have been developing for a long time a smart new way of analyzing data (iOPS, CPU, Memory, GPU, Latency..) and different pieces of software was evaluated and Lakeside Software was the product we decided to go with and both our companies Poppelgaard.com and Firstpoint who are a Lakeside partner so we are legit to make assessments for clients using Lakeside Software. Below article helps you if you are about to size a NVIDIA GRID vGPU solution using either Citrix XenServer or VMware vSphere. If you have been at NVIDIA GTC, Citrix Synergy, BriForum, E2EVC or seen me talking at a Citrix User Group you might have seen the results of the work we did, thats changing on how we think applications are impacting that requires a GPU.

Magnar and I go way back.

Magnar and I have a long past with remote graphics and when we put our minds together we create something that is beautiful. Last year at Citrix Synergy audience could see how people could virtualize 3d remote graphics from Virtual Reality solution using Oculus Rift “Facebook” from the cloud. This was showed for the first time for audience and Citrix loved the idea and redesigned their exhibit about HDX 3D Pro next to FrameHawk, and sorry FrameHawk we stole all the attention with everybody wants to try the VR solution. The cool thing was VR was cool, but me and Magnar worked months “hard” to analyze the data we find at Aibel and we did very successful assessment and we shared the findings at Brian Madden BriForum in May 2014, just after Citrix Synergy, and the audience could for the first time learn the lessons we experienced and we could see applications behavior is not “just” what you might think or expect it to be. Analytics is the key to understand your app. Lets talk about why…

Lets dig into the case study we did at Aibel

Aibel is an industrial pioneer with a history dating back more than a century. With around 5,500 employees worldwide the company is a leading supplier of engineering services related to oil, gas and renewable energy.

Aibel is a huge user of desktop virtualisation technology and is currently delivering virtual desktops to around 4,500 users. The challenge was to work out what to do with the remaining 1500 CAD/CAM workstations where graphics intensive modelling of 3D designs tied them to powerful physical workstations.

With projects occurring at the eight Aibel locations in Norway as well as at the Aibel offices in Thailand and Singapore the amount of data flowing across the WAN was increasing and becoming unwieldy. Large engineering models needed to be accessed on location and shared with engineers and designers in all Aibel office locations.

Virtualisation was seen as the solution to these issues but the challenge was how to virtualise graphics intensive workloads without impacting user experience or drive uneconomic datacentre specifications.

Partner Expertise

Firstpoint AS, a trusted Citrix Gold partner and virtualisation specialists, were brought in to advise Aibel on how to best virtualise this tricky user group.

They teamed up with Thomas Poppelgaard, an independent expert in virtualisation and GPU technologies and together they started an initial survey of Aibel’s situation.

GPU Acceleration Approach

It became quickly clear that the only way to successfully virtualise the 3D graphics workstations in an economically viable fashion was to deploy GPU acceleration technology in the datacentre. NVIDIA’s GRID cards would allow dedicated and shared GPU accelerators to be placed in the datacentre to be used by virtual desktops offloading server CPUs and removing user experience impact for other virtual desktop users.

The Challenge

Having identified the technology approach the challenge now was to work out how to size the workload of these 1500 users and design a solution that would deliver user experience at least as good as their current physical desktop experience. In order to do that the team needed to work out:

  • What graphics applications are in use today
  • Who is using which applications and workstations
  • What GPU processor power is being consumed today by application, user and workstationPoppelgaard.com and FirstPoint brought in Lakeside Software’s SysTrack to do this job. Using SysTrack’s granular data collection model they could model a complete picture of application and GPU workload across all the users and workstations in use at Aibel today.

The Outcome

aibel-results1Using SysTrack the team has been able to build a complete inventory of the existing application and workstation estate and user behaviour. Using these analytics and SysTrack technologies a detailed specification and design for the future NVIDIA GRID based desktop virtualisation infrastructure has been created. Aibel is able to trust this design

as it is completely based on observed data captured from their existing estate and modelled using industry leading technologies from Lakeside and NVIDIA to create the optimal solution for Aibel’s situation. Key in any design is to not over provision the solution and thereby inflate the cost of the solution. On the other hand under provisioning will lead to a poor user experience and potential project failure. SysTrack ensures the right data is used to make the right decision for the future estate.

The assessment was primarily executed to understand Aibel engineers CAD applications such as Aveva PDMS, Bentley Microstation, etc. Shown below is a summary of average GPU usage for 1500 physical machines which revealed surprisingly that internet browsers are very GPU intensive compared to other applications.

Another benefit of leveraging SysTrack was the SysTrack MarketPlace report that had been co-authored by Lakeside and NVIDIA which allowed the team to convert all the data collected into accurate sizing of the number of NVIDIA GRID cards by model number required to offload the GPU workload.

aibel-resultsvgpuThe output from SysTrack also showed how GPUs were being used across the existing estate and how hard they were being utilised. Using jointly authored Lakeside/NVIDIA reports this data was then used to calculate estimated vGPU profiles.

 

 

 

 

Source

 

thomas poppelgaard CTP & MVP

Citrix technology professional – CTP, and Microsoft Most Valuable Professional MVP, Thomas Poppelgaard provides professional services. Write to me on my email thomas@poppelgaard.com or call on my cell +45 53540356