Tag Archives: VDI

Desktop virtualisation solutions

Find the right VDI solution for your business:
The ideal VDI solution is not just about the number of users, but the types
of users and the workloads they run. Generally speaking, there are three
types of VDI users.

Task workers
• Client-server and browser-based workloads
• High-capacity mixed workloads
• Specialized functions for office and task knowledge workers
Knowledge workers
• Specialized functions such as office automation, customer service, and task
worker with client-server applications
• Collaborative groups, electronic health records (EHR), client-server
and browser-based apps, and sales automation
• Enterprise-wide: Office automation with unified communications and
browser apps, large-scale EHR, and back-office apps
Power users
• Graphics-intensive workloads:
CAD, engineering, design, software developers, media, and entertainment


As the workplace environment evolves, organizations are evaluating their remote
work strategies, many with a specific focus on desktop virtualization. Desktop
virtualization separates the personal computing desktop environment from a
physical machine, using the client-server model of computing. Through deployment,
organizations benefit from cost savings, simplified management, enhanced security,
and increased productivity.
Virtual desktop infrastructure (VDI) is the largest segment of the desktop
virtualization environment, with a plethora of solution options to address any workload
requirement. As you develop your VDI strategy, or re-evaluate or expand existing
deployments, HPE is here to help with expertise and experience, technology and
partnerships, and as-a-service (aaS) delivery and cloud economics to help you enable
your workplace of the future.


HPE is an open-systems company, offering a broad portfolio of secure VDI infrastructure
solutions to match your specific use case, workload, scope, and deployment
models. Designed for Citrix and VMware® environments, the portfolio supports a wide
spectrum of architectures to align with your specific workload requirements.
HPE’s portfolio includes a choice of traditional rack servers, hyperconverged infrastructure
(HCI) solutions, composable solutions, and even support for bare-metal VDI.

VDI platforms for every purpose
For the small to midsize business (SMB) that prefers a simplified all-in-one HCI experience,
HPE offers HCI and disaggregated HCI solutions that let you start small, scale
incrementally, and expand as your needs change. These platforms are ideal for use
cases that involve persistent users.

For a more traditional approach to VDI, HPE provides rack-based form factors
backed by centralized storage, which typically traverse small, medium, and
large enterprises. Many medium and large organizations opt for a composable solution.
For specific use cases where resource contention is a concern, HPE provides a
hosted desktop infrastructure (HDI) solution providing a physical one-to-one resource to
users for specific use cases requiring high levels of system responsiveness.
For graphics-intensive workloads on both virtual desktops and virtual workstations,
there are platform options that include NVIDIA® vGPU technology that address
a wide range of VDI needs with superior security, performance, and manageability.


Building the right size VDI solution for your organization requires in-depth planning
and a mapped out strategy. As a recognized leader in service delivery, HPE Pointnext
Services can help you architect your VDI deployment leveraging:

• Advisory services to assist with rationalization of applications, workloads,
and images to determine readiness

• Professional services—including solution design, migration planning, and solution
deployment services—to streamline your VDI deployment

• Operational services to simplify and optimize your IT operations and free up
staff to focus more on innovation

• Global consulting, financial, educational, and other services, including emergency
remote working solutions with HPE VDI on the cloud with 24×7 support


The benefits of VDI in enterprise workplace productivity strategies are well known.
The challenge is that the traditional implementation cycle is based on up-front
expense. Organizations must design an environment to service a peak capacity, procure all
the hardware and software upfront, and build and integrate it to operate the entire
complex stack. Every five to seven years, this repeats as the environment requires a refresh to manage the ongoing costs related to hardware obsolescence, software end of life, operational efficiency, and the ever-increasing need to meet growing user experience expectations.
The result is high up-front costs, much delayed time to value, and remaining locked
into that cycle.
HPE GreenLake brings the simplicity of the cloud experience to VDI. The ability
to scale capacity—and costs—is a key benefit of cloud. But most pure-cloud VDI
implementations cannot meet the necessary standards of security, compliance, and
especially performance.
HPE GreenLake VDI brings cloud-like economics and agility together with the
performance, compliance, and control you expect from your on-premises IT. And
because it is managed for you and billed per use monthly, you can focus your IT teams
on other critical aspects of keeping your business running.


HPE Financial Services (HPEFS) brings together expertise in technology and finance
to enhance the solutions we offer to our customers and partners across the globe.
In April 2020, HPE and HPEFS designated more than $2 billion in financing specifically
to help these customers overcome their financial challenges.
A payment relief program was also put in place to help customers acquire new
technology and alleviate some of the financial strain as they navigate this
uncertain climate.
Wherever you are at, HPEFS has flexible investment solutions and consumption
models to support your business transformation.
Whether you are looking to accelerate your business innovation goals or improve agility
to respond quickly to changes in IT capacity, HPEFS supports continuous improvement to
make it easier and faster for your IT workers to succeed.


Look to HPE to be your trusted partner to help you architect your agile workplace
with industry-leading VDI technology and partnerships, backed by experience,
expertise, and aaS delivery to enable your remote workforce.


Top 5 considerations for building a successful VDI strategy


Identifying the use cases for your business is critical, as it lays the groundwork for the other four considerations.

You must first analyse your business drivers. The question you need to answer is, “What are the key elements that drive my business profits?” These could be tangible assets—salespeople, the number of stores, web ads, manufacturing, managers, applications, designers, and developers. They could be technologies—artificial intelligence (AI), cybersecurity, automation, data analytics, or the Internet of Things (IoT). They could even be relationships, maintaining the trust and confidence of existing customers and business partners.

From the business drivers, create a list of the number and types of users that support each of those drivers. Ideally, you want to allocate users into the three traditional user types (task workers, knowledge workers, and power users), which can be challenging because users are rarely created equal. Use the list of user types below to help you discern.

Your use cases connect your key business drivers to the type of infrastructure required to support them. It is common to find a number of different use cases across an organization, based on the number and the type of users. Now that you have a rough idea of the number and types of users you support, build your use cases by revisiting that list with a focus on the specific technology needs behind each use case, such as virtual desktop, virtual
application, GPU accelerated, persistent, or non-persistent. From this you can characterize the expected workload compute and storage relative to the end-user requirements.
Be aware that use cases, provisioning models, and virtual machine (VM) profiles all require different resources from a compute node and storage perspective. Understanding these requirements lays the groundwork and sets expectations for the overall scope, utilization, and performance. Some users may require persistence. Others may not. Others still may benefit from application virtualization, GPU, or a combination. Determining use cases and characterizing the workload are critical for understanding the hardware/software stack necessary to support it.


With your business drivers, use cases, and provisioning models established, the workload will begin to take shape. Virtual workloads are defined by VM profiles which encompass vCPU, RAM, the application stack, image size, persistent versus non-persistent, and/or vGPU requirements. An accurate VM profile is the basis for all node density
projections and is critical for establishing node equilibrium with respect to hardware requirements, utilization, and performance.

Your VM profile can be determined in two ways.
1. Do a full physical, virtual desktop, and application assessment.

This process usually requires a consulting engagement and trended data collection using workload assessment tools. This is a great path if you have the time.

The process will:
–Assess physical and virtual requirements                                                                                                      –Define use cases
–Determine feasibility
–Set density expectations

2. Run a proof of concept (POC). Develop a model based upon real-world users with specific user images and use cases relative to the defined VM profile expectations.

This will:
–Define test/success criteria
–Test real-world images across subsets of users specific to individual use cases across the organization


Understanding scope and scale in conjunction with your use cases and workload requirements establishes the ground rules for platform selection. Some platforms and architectures perform and scale better than others relative to workload or use case, which impacts hardware selection.

Scope considerations
The scope determines how the workload will run across use cases and how many users the solution will be required to scale to. For instance,
the economics begin to shift in favour of more traditional compute/storage architectures at roughly 2000 users and above, so the number of concurrent users dictate platform selection.
The factors that play into scope include:
• Single or multiple organizations
• Initial footprint versus end footprint
• Global or regional users
• Centralized or decentralized (distributed) resources

Scale considerations
Scale goes hand-in-hand with scope because you need a solid understanding of
how the deployment will roll out. Will it be a single site, multiple sites, or global? This
determines factors such as WAN versus LAN access, and local compute resources
versus regional compute resources.
Beyond the initial deployment, it’s also essential to look ahead. Try to define what the
solution is going to look like 6–18 months from now. It’s important not to paint your
solution into a corner because the platform doesn’t scale.
The factors that affect scale include:
• Initial and end footprint
• How will scaling occur?
–Phased user
–Phased app
–Phased site


Your platform is dictated by the use case, workload, and scope information. Once these variables are firmly understood, the right platform choice tends to present itself.
Many VDI platforms are available to match with specific use case, workload, scope, and deployment models. If you have already decided upon a form factor—traditional rack-based or blade-based servers, converged infrastructure, HCI, disaggregated HCI, or hosted desktop infrastructure (HDI)—then you have already narrowed the options down to a good starting point.
If you have specific use cases where resource contention is a concern, consider an HDI solution. HDI can provide a physical 1:1 resource for cases requiring high levels of system responsiveness, such as financial services, traders, light/medium engineering applications, and design and content creation.
For data-intensive workloads like AI or deep learning, consider GPU-accelerated solutions such as those offered by NVIDIA®. Be aware of any
centralized storage requirements.


The final step is determining which VDI deployment model will ultimately work best for your business, organization, and budget. There are three deployment models to consider.

Private cloud
Hardware and software are located on-premises. This is a traditional model that can be CAPEX or OPEX based. It is of particular interest for highly regulated industries like government, healthcare, financial, or any workloads that require extra emphasis on governance, security, or intellectual property concerns.

Public or managed cloud
Public or managed cloud models provide desktop as a service (DaaS) through a subscription model or a pay-as-you-go model based on consumption of resources. It is suitable when you have predictable computing needs—such as communication services for a specific number of users—but also offers flexibility to scale instantly in response to varying peak demands.

Hybrid cloud model
In the hybrid cloud model, deployment spans private, public, or managed cloud environments so you can get the benefits of both public and private clouds and still take advantage of the existing architecture in a data centre. The inherent flexibility of the hybrid cloud model makes it a good choice for mixed workloads. You can allocate dynamic, frequently changing workloads to public cloud for easy scalability and the more predictable or sensitive workloads to private cloud or on-premises data centre.

See the full PDF outlining the above here > View Top 5 considerations for building a successful VDI strategy reference guide | HPE