HPE Moonshot Reinvented

Written by Thomas Poppelgaard. Posted in Autodesk, Citrix, Cloud, Collaboration and Support, Datacenter and Cloud, End User Computing, GVT-d, HDX 3D Pro, HPE, HPE Discover, Intel, Linux Virtual Desktop, LoginVSI, M510, M710X, Microsoft, Moonshot, OpenGL, RemoteFX, Windows 10, Windows 7, Windows 8.1, Windows Server 2008R2, Windows Server 2012R2, Windows Server 2016, XenDesktop, XenServer

reinvented

HPE Moonshot have been around for some time now, and I have been very lucky working together with HPE and testing their server cartridges that are compatible with Citrix solutions. Last year, at HPE Discover in London, I wrote an article about how Citrix internally are using HPE moonshot and which server cartridges were available at that time and how financial customers are benefiting from these solutions.

Now HPE has a new server catridges available and a new appliance that targets a new business opportunity for SMB/medium customers. Previously you needed to buy a Moonshot 1500 solution that was a 4.3 U chassis, where you could add up to 45 server cartridges. This have changed and new offerings are now available from HPE. These include Edgeline. HPE Edgeline EL1000 Converged IoT System support one HPE Proliant server cartridge and HPE Edgeline EL4000 Converged IoT System, which support up to four HPE Proliant server cartridges. This is great for business that would like CPU/GPU/Fast storage and IO in small capacity but require fast performance. These appliances are also built for IoT systems. This means that HPE Edgeline is a more accessible solution for companies no matter their size or demand.

How HPE is Reinventing Moonshot

Talking to Olivier Frank, Senior Director from HPE WW Business development & alliances, Moonshot & IOT system, he gave me his view on their strategy, and future plans.

The history of HPE Moonshot

Before we look at what HPE offers now, I thought it would be a great overview to hear about the story of HPE Moonshot. Olivier shares with me, HPE Moonshot is 3 years old and started as a concept to reduce energy footprint, a micro server dedicated to a single server and that would use the lowest energy and have the highest density. The first cartridge started with Intel Atom, which was very low power and competed with a “Facebook” open compute platform. That offering didn’t work out and the HPE moonshot evolved quickly toward GPU for the masses.

HPE started first with AMD to build a server cartridge that could have 4 physically servers with CPU/GPU on 1 cartridge, this was the M700. The goal was hosted desktop, targeting those customers that had not deployed VDI before and you could get a low cost notebook with physically GPU/CPU, fast flash storage, memory and 1Gbit network. VDI customers who had failed at other solutions could also adopt M700.

HPE started getting some traction, the issue was high price per user. HPE and Intel build the M710 server cartridge with Citrix XenApp certified. This was introduced 2 years ago, E3 CPU with Iris Pro Graphics 5200, 32GB memory, M.2 flash storage (september 2014). VDI on the M710 wasn’t something HPE investigated. m710p was the next generation cartridge, which brought more power and higher clock frequency CPU and GPU. HPE started to investigate trader workstation, which requested this thpe of hardware performance and the m710p was perfect for VDI (Banking and Investment). Banks could now replace physically machines to m710p cartridges because of low latency user experience, which was developed closely together with HPE, Intel and Citrix. HP also launched the T730 thin client that could take up to 6 monitors (4 on the box, and add a PCI card to take additional 2 monitors) which is a minimum requirement for traders. This solution was a huge success and some of the largest financial customers are now running on this solution.

HPE Moonshot – Seeing Great Momentum for End User Workspace

Olivier Frank shared some of the success stories with me.

Global FSI customer 1 – Up to 150K Users over 2 years

  • Currently 90 Chassis, 70 chassis published desktop/app, 20 chassis HDI XenDesktop for developers.
    Thousands of users deployed in 3 Weeks. Significant upcoming investment to grow XenApp estate to support 150k users by end of 2017.
  • Cut the cost/watt/per user in half 3W to 1.5W
  • Will save the Bank up-to $13m on their end user spend

Global FSI customer 2 – Traders to go live in FY16 Q3

  • Potential growth of up-to 15000 traders
  • 75K users need to move to VDI (non moonshot) – HPE Moonshot will cover 20% of those high end users that current VDI technology doesn’t cater for.

Global FSI customer 3- 600 Traders live

  • 600 Commodities traders, In 3 Regions – Q4 FY15
  • 600 more VDI user converting to Moonshot in FY16 Q2
  • Looking to make Moonshot there global VDI standard

Customer Video Testimonial Videos

 

HPE Edgeline

Olivier Frank, shared the general target for HPE Edgeline and what are IT Edge like mobile workplace and IoT Edge, Compute for Internet for things and gateways.

The HPE Edgeline Portfolio contains of EL1000, EL4000, EL10 and EL20.

HPE Edgeline EL1000 and El4000

The HPE Edgeline EL1000 and EL4000 Converged IoT System is the first entrant into the industry’s new product category, “Converged (Internet of Things) IoT Systems”. This system integrates unprecedented edge compute, data capture and control, datacenter-class security, device and systems management, as well as large storage capacity to provide heavy-duty analytics and insights to the edge. This enables businesses to make real-time decisions and add value to their operational processes to result in better business outcomes. The Edgeline EL1000 and EL4000 also prevents cloud lock-in by not having to send data back to the cloud or data center. It addresses latency, bandwidth, cost, security, duplication, corruption, and compliance issues, enabling three critical components of savings and success—time, money, and time to action.

edgeline_el10

The HPE Edgeline EL1000 Converged IoT System delivers a high performance and reliable solution that comes optimally configured with one Intel-based HPE ProLiant m510 (8 or 16 core) or HPE ProLiant m710x (4 core + GPU) high density server.

edgeline_el20

The HPE Edgeline EL4000 Converged IoT System delivers a high performance and reliable solution, The EL4000 comes that comes optimally configured with four Intel-based HPE ProLiant m510 (8 or 16 core) or HPE ProLiant m710x (4 core plus GPU) high density servers. The EL1000 / EL4000 have HPE iLO (Integrated Lights-Out), the same tool used to manage traditional datacenter servers.

You can up to 16 Xeon cores with EL1000 and up to 64 Xeon cores with EL4000. The El4000 is a standard 1 U rack-mounted form factor, 4 standard PCIe slots, both appliances comes optional with shock, vibration, temperature rugged.

Use cases are:

  • VDI (1-1) – Citrix XenDesktop
  • SBC (1-many) – Citrix XenApp
  • Trader workstation
  • Enginering workstation
  • Ip-TV
  • Video caching
  • Nebs Compliant (Level 3 certified)

Summary for EL4000 and the EL1000

hpe-el4000-el1000

HPE Edgeline El10, EL 20

hpe_el10hpe_el20

These devices are used to connect to sense an IT infrastructure.

The EL10 Intelligent Gateway is a value solution that comes optimally configured with an lntel® Atom® CPU, 4 GB RAM, 32 GB SDD Storage, Wi-Fi connectivity (standard on Wind River model) and an expansive I/O selection.

The HPE Edgeline EL20 Intelligent Gateway is a mid-level level ruggedized compute solution designed for light data aggregation and acquisition.

EL20 Delivers a performance solution that comes optimally configured with an lntel® i5 CPU, 8 GB RAM, 64 GB SDD Storage, Wi-Fi connectivity (standard on Wind River SKU) and an expansive I/O selection including four-port Power over Ethernet (PoE) plus 1 x 8 bit digital input/output (DIO).

 

Hardware Summary of HPE ProLiant m510 and m710x

summary_m510-m710x

I hope the above gives you a pretty good idea on where Moonshot & Edgeline is going – and this is just for Citrix XenDesktop and XenApp. I will cover how its used with Octoblu another time.

How to get Involved – HPE Global Innovation Labs

hpelabs

Partner and customer engagement, interaction, assessment and colloboration on solution development and applications.

HPE can help with

  • Build, testing and pre-validation of Edgeline systems and end-to-end solutions
  • Integrated real-life “Edge Experience Zones“ to interact with and highlight industry applications
  • On-site access or secure remote access
  • Datacenter connectivity and testing

Try here https://www.hpe.com/us/en/servers/global-innovation-lab.html

 

Poppelgaard.com – Professional Services

if you are interested in testing your applications on the ProLiant Server Catridges – please dont hesitate to contact me a thomas@poppelgaard.com
I can also help with above value added tasks plus much more 🙂

Source

I highly recommend reading following articles from Citrix Blogs from Tony Sanchez

Introducing The End User Computing Podcast

Written by Thomas Poppelgaard. Posted in 3DConnexion, Apple, Augmented Reality, Autodesk, Azure, Best Practise, Cisco, Citrix, DaaS, Dell, Desktop Virtualization, EGinnovations, End User Computing, Events, GRID, HDX, HDX 3D, HDX 3D Pro, Horizon, HP, IBM, Intel, Lakeside Software, Leap Motion, LoginVSI, NVIDIA, Oculus Rift, Receiver, RemoteFX, RES Software, Server 2012R2, vGPU, View, Virtual Reality, VMware, Windows 10, Windows 7, Windows 8, Windows 8.1, Windows Server 2008R2, Windows Server 2012, Windows Server 2012R2, XenApp, XenDesktop, XenServer

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!

Citrix XenServer 6.5

Written by Thomas Poppelgaard. Posted in AMD, Cisco, Citrix, Cloud, CloudStack, Datacenter and Cloud, Dell, Desktop Virtualization, FirePro, GRID, HDX, HDX 3D, HDX 3D, HDX 3D Pro, HP, IBM, Lakeside Software, LoginVSI, Microsoft, NVIDIA, Server 2012R2, VDI-in-a-box, vGPU, Virtualization Ready, Windows 7, Windows 8, Windows 8.1, Windows Server 2008R2, Windows Server 2012, Windows Server 2012R2, XenDesktop, XenServer

Citrix XenServer 6.5

Citrix have released a major release of their hypervisor XenServer 6.5

I have with this blogpost gathered all the public informations available and created a blogpost on what I think is new with Citrix XenServer 6.5 and why this is great and how you can use this.

How to get Fraps working with Citrix XenApp 7.5 & Login VSI Graphics Framework

Written by Thomas Poppelgaard. Posted in AMD, Autodesk, Citrix, Cloud, Datacenter and Cloud, Dell, FirePro, GRID, HDX 3D, HDX 3D, HDX 3D Pro, HowTo, HP, IBM, LoginVSI, Microsoft, NVIDIA, Receiver, Server 2012R2, vDGA, vGPU, VMware, vSGA, vSphere, Windows 7, Windows 8, Windows 8.1, Windows Server 2008R2, Windows Server 2012, Windows Server 2012R2, XenApp, XenDesktop, XenServer

How to get Fraps working with Citrix XenApp 7.5 & Login VSI Graphics Framework

This is one of my many series of how to scale test applications using Login VSI Graphics Framework.

If you are interested in trying out the new Graphics Framework from LoginVSI Click here to register for the public beta.

LoginVSI GFX requires you to have Fraps installed on your either VDI or XenApp server.

To get Fraps working correctly, you might run into the issue I have been having. UAC will not allow it to run or if you have UAC disable, you still get a UAC prompt.

This article describes how to get Fraps working in a multisession environment Microsoft Remote Desktop Services 2012R2, Citrix XenApp 7.5 with Login VSI Graphics Framework.

Webinar I did with XenAppblog – “GPU in virtualization, learn why it’s important” now available

Written by Thomas Poppelgaard. Posted in 3DConnexion, AMD, Apple, Autodesk, Best Practise, Cisco, Citrix, Dell, FirePro, GRID, HDX 3D, HDX 3D Pro, HowTo, HP, HTML5, IBM, Lakeside Software, LoginVSI, Microsoft, NVIDIA, Quadro, Receiver, Reciever, RemoteFX, Server 2012R2, Splunk, UberAgent, vDGA, vGPU, View, Virtualization Ready, VMware, vSGA, vSphere, Whitepapers, Windows 7, Windows 8, Windows 8.1, Windows Server 2008R2, Windows Server 2012, Wyse, XenApp, XenDesktop, XenServer

Hi All

I am very excited to share this great news with you all. I did a webinar with fellow CTP  Trond Eirik Håvarstein from XenAppBlog.com, and we had a special guest surprise Jeroen Van De Kamp CTP and CTO, LoginVSI announcing ground breaking stuff in the webinar. We had over 700 people signed up for the Webinar, if you was among the crowd that missed the opportunity to see the webinar here is your chance, the webinar is now available for everyone for free. There was a lot of Q/A and I will the next couple of days reply to all the Q/A and make them available in this article.

The webinar has been re-mastered and the audio & graphical demo videos is even better now  than in the actual webinar, make sure to check it out now:

Download the presentation here (PDF format)

Summary of webinar product announcements from LoginVSI, Lakeside Software, Uberagent for Splunk.

loginvsi
LoginVSI upcoming new version support’s GPU benchmark…

LoginVSI is working on next version that will support benchmark, capacity planning, stress testing the “missing component in virtualization” GPU. If you are interested you can write to get access to the beta version of LoginVSI.

Here are some screen shots from the session…. watch it to here what Jeroen tells about the upcoming version

Note if you want to get more info on the next version of LoginVSI that supports GPU, write to info@loginvsi.com subject GFX

LoginVSI_gpu_01 LoginVSI_gpu_02

LoginVSI_gpu_03

 

Lakeside

Lakeside Software Monitoring/Assessing NVIDIA GRID

Another groundbreaking product announcement was from Lakeside Software, they are about to release version 7 of Systrack that will support NVIDIA GPU Monitoring/assessing.

Application Graphics Benchmarking

The transformation of an existing software portfolio first begins with the identification of all of the actively used software packages in the environment. The added complication in the case of a project to begin advanced application delivery is the need to understand multiple facets of usage: resource consumption, graphics utilization, frequency of use, user access habits, and mobility needs. Because the state of IT is already so complex it only becomes possible to fully understand and plan with a complete set of descriptive information that really characterizes the unique aspects of every environment. Of particular interest is the ability to first identify applications that have GPU demands, and then begin to segment them into tiers of utilization. SysTrack continually collects information about software packages as they’re used and normalizes all data points for cross platform comparison. One of the key performance parameters that’s identified in this process is a graphical intensity measure (Graphics Index) that provides a way to identify those applications in the portfolio that have higher GPU demands than others. With this critical information it becomes possible to segment the portfolio into groupings based on their requirements for specific resources. By tying a general sense of which applications have peak demand to total length of usage it becomes easier to start developing a portfolio made up of different combinations of usage styles. This includes separating applications that may be used by a small set of the population with intense requirements versus widely used applications with a smaller footprint. Of course, this also allows for much deeper analytics centering on the behaviors of users that is quite important in planning the GPU profiles in use in provisioning. Figure 1 displays this relationship in a bubble chart format, this format groups applications based on their similar characteristics presenting clusters of similar applications in larger bubbles. The vast majority of applications exist in the “low graphics demand – Low Time Active” area in the bottom left, while only a select few have either high graphics demand or high time active.

lakesidesoftware_systrack7-gpu2

SysTrackTracks graphics usage frequency across on physical clients and allows you to group users based on graphics usage & frequency

A natural expansion of this is grouping users into distinct workload types to understand how best to configure the profile types and GPU assignments for users. Once the target applications and users have been characterized and a plan has been developed it’s critical to begin the process of sizing the environment. This includes determining the architecture, sizing the desktops and servers that will be worked with, and identifying resources that will be required to support the needs of the planned deployment.

Resource Modeling & Capacity Planning

NVIDIA Marketplace report from Systrack’sVirtual Machine Planner (VMP) outlines the number of users that fall into different use cases making it easier to forecast how many users per board can be allocated

With a complete portfolio plan it now becomes possible to move into the next phase and start creating a model for what resources will be required for a complete environment. Because each of the users have been fully characterized throughout the assessment data collection interval it’s possible to use SysTrack’s Virtual Machine Planner (VMP) for powerful mathematical analysis to provide deep insight into infrastructure provisioning. The first component of this involves using the profile information above to help develop a plan for what kind of solution will be provided to the end-users. By segmenting the population into different delivery strategies using Citrix FlexCast options as a guideline, a more complete and accurate picture of how the net new environment will operate can be created. An additional benefit of segmentation is the ability to take advantage of grouping by general graphics consumption to identify the number of GPUs required for the environment based on the user density information for each profile type

vgpu-profile

The NVIDIA MarketPlace report from VMP outlines the number of users that fall into the various use cases (e.g. “high” for a designer or higher end power user), making it much easier to forecast how many users per board can be allocated and in turn how many total boards may be needed

lakesidesoftware_systrack7-gpu0

This information creates an easy to use design for a set of user profiles, both for the actual desktop delivery and for the vGPU assignment. By ensuring the best possible analysis of the environment prior to the actual deployment the end-user experience is much simpler to forecast and control. This results in higher end-user satisfaction and a shorter transition time.

User Experience Optimization

After the successful implementation of the solution the environment still requires observation to prevent interruption of service and the potential for productivity impact. The best way to ensure optimal end-user service quality is to have a real-time alerting and analytical engine to collect and report instantly on degradation of any aspect of the systems the users interact with. SysTrack provides this in the form of proactive alerting, detailed system analysis in Resolve, and aggregate trending through Enterprise and Site Visualizer. An even more interesting feature is vScape, a tool designed to examine utilization across multiple virtual machines and correlate resource consumption to concurrency of application utilization. vScape provides real-time updates of all of the application usage across all virtual platforms in an enterprise, including information about what applications are currently demanding GPU resources. It also provides insight into other resource demands as well, such as CPU, memory, and I/O. This can help automate the discovery of co-scheduled or highly concurrent applications to pinpoint the root cause of oversubscription issues much more quickly. It also provides key insight into guest health characteristics with trending to correlate precisely which events may lead to service degradation

lakesidesoftware_systrack7-gpu3

Another key feature introduced in SysTrack version 7.0 is the result of close collaboration with NVIDIA to leverage APIs presented in the guest operating system. This allows the capture of detailed GPU performance metrics to correlate vGPU consumption to end-user service quality. Specifically, with NVIDIA drivers present in the guest OS or on a physical system, the GPU utilization and key metrics (see table 2 for a sample of selected metrics) from the graphics card can be captured and analyzed in the same way as CPU or other system metrics are currently in SysTrack.

lakesidesoftware_systrack7-gpu1

In Systrack 7 after provisioning users in VDI environment the IT admins can monitors performance, which enables to optimize density over time.

This completes the set of KPIs used in SysTrack to calculate the end-user experience score, including categories like resource limitation, network configuration, latency, guest configuration, protocol specific data for ICA, and virtual infrastructure. With a complete set of relevant information the proactive and trending health analysis provided in SysTrack yields a thorough analysis in an easy to understand, quantitative score that summarizes performance on an environmental, group based, or individual system level.

NVIDIA GPU Monitoring/Assessing: (Works with all NVIDIA GPU) Quadro, Kepler, GRID

 

You will be able to look at following parameters:

  • Device ID
  • Power State
  • GPU Usage
  • Frame Buffer Usage
  • Video Usage
  • Bus Usage
  • Memory Usage (Bytes and Percent)
  • # of Apps
  • Temperatures and Fan RPMS

Use this data to accurately plan and size GRID and HDX 3D Pro deployments based on actually observed usage and utilization.

Monitor users post-deployment to provide the best user experience

I recommend reading the whitepaper Lakeside Software have created:
White Paper: SysTrack Delivery Optimization and Planning for NVIDIA GRID and Citrix HDX

 

uberagent

UberAgent 1.8 for Splunk adds GPU performance monitoring

Helge Klein have developed a new version of Splunk that now supports monitoring of GPU, this was a feature request I talked with Helge Klein about in 2013, and I am so happy to see the results what he have done with UberAgent for Splunk, lets dig in what it can do.

uberAgent measures:

  • GPU compute usage per machine
  • GPU memory usage per machine
  • GPU compute usage per process
  • GPU memory usage per process
  • uberAgent shows memory usage separately for shared and dedicated memory (dedicated = on the GPU, shared = main system RAM)
  • uberAgent shows compute usage per GPU engine. The various GPU engines serve different functions, e.g. 2D acceleration, 3D acceleration, video decoding, etc.

uberAgent - process GPU usage uberAgent - single machine GPU usage over time uberAgent - single process GPU usage over time uberAgent - machine GPU usage

For more information visit uberAgent’s website.

My 5 cents

I am very excited to share my findings of some of the things I do in poppelgaard professional services. Feel welcome to contact me at thomas@poppelgaard.com if you are interested in using my professional services and you need help with GPU solutions.

You will see more upcoming blogs from me covering this topic. End User experience, assessments of GPU workload, scaling/sizing, benchmarking, hardware supported, GPU side by side experience, Hypervisor vs Bare metal with a GPU. Watch out for cool things….

Source

Watch the webinar here (YouTube)
Download the presentation here (PDF format)

Lakeside Software
LoginVSI
White Paper: 
SysTrack Delivery Optimization and Planning for NVIDIA GRID and Citrix HDX
UberAgent for Splunk

Citrix XenDesktop HDX3D Pro
Citrix XenApp with GPU Sharing
Citrix XenServer vGPU
NVIDIA GRID
AMD FirePro
VMware vSphere vDGA
VMware vSphere vSGA with NVIDIA GRID

 

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