HPE’s Enhanced ML/AI Development and Deployment Solutions

HPE’s Enhanced ML/AI Development and Deployment Solutions

HPE’s Enhanced ML/AI Development and Deployment Solutions

HPE’s enhanced machine learning and AI development and deployment solutions.

Digital transformation is now critical to business growth, and AI-powered solutions play an increasingly important role in guiding customers through their digital experiences.

Swarm Learning is a breakthrough AI solution which accelerates insights at the edge, from diagnosing diseases to detecting credit card fraud. Swarm Learning shares and unifies AI model learnings without compromising data privacy.

HPE is continuously reinventing and improving how we live and work. A worldwide edge-to-cloud business that provides distinctive, open, and intelligent technology solutions, HPE has strong expertise throughout the entire IT ecosystem.

We discussed previously HPE’s recent acquisitions of industry-leading, data-centric AI/ML solutions for businesses. The HPE Machine Learning Development System (MLDS) builds on HPE’s strategic investments in Determined AI. They have combined their robust machine learning (ML) platform, the HPE Machine Learning Development Environment (MLDE), with their world-leading AI and high-performance computing (HPC) offerings.

With the new HPE MLDS, users can speed up the typical time-to-value to realise results from building and training machine models, from weeks and months to days.

HPE Machine Learning Development Environment (MLDE)

The HPE MLDE is a purpose-built, powerful, and user-friendly solution. It offers a pre-configured, tested and fully deployed AI solution for model development and training at scale, with little code rewrites or infrastructure modifications required. The solution is a completely performant, out-of-the-box system that can be used by anybody, not just enterprises that have enormous reservoirs of IT infrastructure, resources, and AI experience.

Businesses face various hurdles when it comes to using AI at scale. Deep learning model training is a complex process, and ML experts currently spend their efforts on AI infrastructure management rather than designing new models or performing training. ML developers and IT experts should look to maintain specialised infrastructure, such as GPUs, to offer sophisticated AI and ML workloads. The HPE MLDS is a complete solution for developing and training ML models that comes pre-configured, fully installed, and ready to use. Consequently, IT complexity is reduced, and engineers’ time can be used more efficiently.

With the assistance of the HPE MLDS, businesses have the opportunity to devote more time and resources to the process of developing new models and training. This is made feasible by the platform’s ability to carry out deep learning training operations across GPUs without requiring modifications to the underlying code or infrastructure. The platform allows for the tracking of experiments, which improves collaboration among ML engineers. It assists engineers in monitoring infrastructure and resource use. The automated optimisation of hyperparameters discovers and trains more accurate models in a shorter amount of time, provides flexibility and a foundation for heterogeneity.

The HPE MLDS is a comprehensive solution that includes a platform for the training and development of models, high-performance computing, networking, accelerators, and other components, as well as services for installation and maintenance. With this solution, companies are able to leverage AI for mission-critical applications.

HPE Swarm Learning – a solution built for the edge and distributed sites

Most AI model training occurs at a central location and relies on merged datasets. This strategy, however, is inefficient and costly, as large volumes of data must be moved back to the source. Data privacy, regulations, and ownership rules can also limit data exchange and movement, leading to erroneous and biased models.

To this objective, HPE introduced HPE Swarm Learning; the industry’s first privacy-preserving, decentralised machine learning framework for the edge or distributed sites.

HPE is contributing significantly to the swarm learning movement by delivering an enterprise-class solution that lets businesses cooperate, create, and accelerate the power of AI models, while maintaining ethics, data protection, and governance requirements.

Businesses can make faster decisions at the point of impact by training models and exploiting insights at the edge, resulting in improved experiences and outcomes.

HPE Swarm Learning employs blockchain technology to ensure that only learnings acquired at the edge are shared, rather than the data itself. The blockchain network enables edge locations to share insights in a trusted manner. If a bad actor attempts to penetrate the swarm, the smart contract detects the imitator, defends the swarm, and can block unauthorised entry.

Scientists, researchers, and AI engineers can now train on a greater amount of data while still adhering to all privacy standards. This results in more accurate estimates, reduced prejudice, and faster answers. It also saves on IT infrastructure costs by eliminating unnecessary data movement and duplication.

HPE Swarm Learning can assist a range of organisations in collaborating and improving their insights:

  • Hospitals
  • Banking and financial services
  • Manufacturing sites

The partnership between HPE and Qualcomm to deliver Edgeline Converged Edge systems.

HPE is building on its collaboration with Qualcomm Technologies, Inc. to deliver advanced inferencing offerings to support heterogeneous system architectures that provide AI inferencing at scale.

HPE Edgeline EL8000 Converged Edge systems are compact, ruggedised edge computing solutions, which are optimised for harsh environments outside the datacentre. The Qualcomm® Cloud AI 100 accelerator delivers inferencing for data centres and at the edge. The combined solution delivers high performance at low power for demanding AI Inference workloads.

HPE Edgeline Converged Edge Systems put enterprise-class computing, storage, networking, security, and systems management at the edge. HPE Edgeline is designed for the challenging operating environments found at the edge, built on the same technology as datacentre systems.

The Qualcomm Cloud AI 100 is designed for AI inference acceleration at the edge. The solution addresses unique requirements in the cloud, including power efficiency, scale, process node advancements, and signal processing — facilitating the ability of data centres to run inference at the edge faster and more efficiently. Qualcomm Cloud AI 100 is a leading solution for data centres that increasingly rely on infrastructure at the edge.


With a purpose-built adaptable architecture, the HPE MLDS accelerates innovation while lowering IT complexity. The HPE MLDS eliminates the frustrations and expenses associated with ML model development and training by using a complete platform and a broad set of components. As your IT partner, we can help your business navigate these and many other emerging technologies.

Core Compute – One Infrastructure to Run Any Workload

Core Compute – One Infrastructure to Run Any Workload

Core Compute – One Infrastructure to Run Any Workload

Software-defined infrastructure (SDI) refers to a virtualised and logically pooled mix of computing, networking, and storage capabilities. SDI allows hardware resources to be managed as software, paving the way for rule-based IT process automation and infrastructure provisioning. As a result, SDI assists businesses in lowering data centre costs, complexity, and risk.

Software-defined infrastructure is not dependent on one specific piece of hardware and may operate with little to no intervention from a human operator. This architecture allows for the complete integration and automation of many critical IT tasks and several advantages, including:

  • Complete data centre virtualisation enables computing, networking, and storage resources to be flexibly tailored on a per-application basis using commoditised technology, resulting in simpler and standardised IT consumption models.
  • Application-aware infrastructure handles application demands automatically, including security and disaster-preparation procedures. This facilitates features such as automated configuration, backups, and data recovery.
  • Management simplicity is achieved through provisioning and monitoring via management dashboards, similar to app stores.
  • Depending on the circumstances, SDI may deploy workloads in either private or public clouds, protecting data integrity while boosting speed and efficiency and reducing costs.

The Business Value of HPE Synergy

HPE Synergy is a software-defined infrastructure that is composable and designed for hybrid cloud environments. Customers can create fluid pools of physical and virtual compute, storage, and fabric resources in any configuration fit for any workload by using a standard application programming interface. Through HPE Greenlake, this functionality is made available to users as a service.

The first platform built from the ground up to enable composable infrastructure, HPE Synergy delivers an experience that allows businesses to generate and deliver new value in real time. It provides a unified infrastructure that reduces the complexity of operations for long-running workloads, while speeding up operations for new sorts of apps and services.

HPE Synergy can build compute, storage, and fabric pools, both physical and virtual, into any configuration suitable for any application via a single interface. Because it is an extendable platform, it is simple to support a broad range of applications and operational approaches, such as virtualisation, hybrid cloud computing, and DevOps.

With the support of HPE Synergy, IT departments can become internal service providers and business partners, enabling the rapid launch of new applications. The HPE Synergy experience enables IT departments in the following ways:

  • A single infrastructure that includes fluid pools of physical and virtual processing, storage, and fabric, businesses can optimise any application, cut CAPEX costs, and free up resources.
  • Accelerate the delivery of applications and services by using a single interface that composes logical infrastructure at high speeds.
  • Reduce the time and money spent on operations by combining internal software-defined intelligence with template-driven, frictionless workflows.
  • Increase efficiency and control across the entire data centre by integrating and automating infrastructure operations and application activities via a single application programming interface (API).
  • Composable infrastructure is an innovative architectural strategy that enables innovation and revenue generation for a new breed of apps while running traditional workloads more efficiently.

HPE Synergy assists businesses in developing their hybrid cloud architecture by consolidating hardware infrastructure, software, and service offerings into a single platform. HPE Synergy allows for allocating and de-provisioning computing, storage, and network resources per developer during the design, development, and integration phases of a project. This leads to improved application development. Synergy enables effective data management by integrating real-time business communication services under a uniform user interface and experience across a wide range of devices.


Software-defined infrastructure has been developed and established as a mature and proven technology due to its robust agility, scalability, and competitive advantage. It now plays a critical role in supporting digital transformation. Software-defined infrastructure is a practical option for technologically aspirant businesses seeking a new architectural strategy to support cloud-native and hybrid requirements.

HPE Synergy is an ideal solution for software-defined infrastructure. Synergy is composable and designed for hybrid cloud environments to offer fluid pools of physical and virtual compute, storage, and fabric resources in any configuration fit for any workload. As your IT partner and advisor, we can work with you to determine if HPE Synergy is the right solution for your business and IT transformation journey.

3 Minute Read: Legacy System Modernisation with Greenlake

3 Minute Read: Legacy System Modernisation with Greenlake

3 Minute Read: Legacy System Modernisation with Greenlake

Applications are central to almost every business process. Applications need to be flexible, reliable, and secure to be effective and profitable. Improving the underlying infrastructure helps ensure that these functions (including servers, mainframes, and data storage or cloud) are continually available.

Application modernisation necessitates organisational changes, such as shifting some resources from on-premise deployments to cloud deployments. Often, legacy infrastructure may be perceived as being too old and too difficult to modernise, especially where that infrastructure sits in ERP (enterprise resource planning). ERP is at the heart of business operations and complex modernisation projects can have the potential to disrupt business processes.

There are several approaches to modernisation depending on what your business requirements are.

Pathways to updated infrastructure

System modernisation is usually initiated when opportunities for improvement are identified. The main drivers often involve business fit, value and agility, cost savings, reduced complexity and risk aversion. Where legacy infrastructure becomes too costly and complex to maintain, or puts the company’s security at risk, these are common reasons for businesses to update.

Once the opportunity for improvement has been identified, businesses can then evaluate modernisation options. According to Gartner, there are seven options that have been ranked by ease of implementation:

  1. Encapsulate – Making applications available as services via an API.
  2. Rehost – Redeployment of the application component to other physical, virtual or cloud infrastructure without further modification.
  3. Replatform – Migration to a new runtime platform with minimal changes to the code (not the code structure, features or functions).
  4. Refactor – Restructure and optimisation of the existing code, removing code debt and improving unbeneficial attributes.
  5. Rearchitect – Altering the code to shift it to a new application architecture.
  6. Rebuild – Completely redesigning the application component while preserving its specifications.
  7. Replace – Entirely removing the former application component and replacing it while considering new needs and requirements.

An easier implementation poses less risk and impact on business processes, while harder implementations pose more risk and impact.

Choosing the best fit modernisation strategy will depend on factors such as the organisation’s existing technology, architecture, technical capabilities and risk appetite.

At its core, modernisation means either rearchitecting, rebuilding or replacing. To successfully complete any of these, businesses need the right underlying IT model to ensure business operations continue with minimal disruption.

HPE Greenlake

Regardless of which strategy you choose, HPE Greenlake is a consumption-based IT model which can support your transformation. By providing a true hybrid cloud experience, it enables IT teams to manage their on-premise and cloud-based systems and data from one intuitive portal.

HPE GreenLake even allows the organisation to choose specific software version levels in the environment and when (or if) they are updated. This is crucial for organisations with infrastructure that may be several firmware versions behind.

HPE GreenLake brings the modern cloud experience to legacy apps, data and workloads in your locations with self-serve, pay-per-use, scalability while being managed as a service by HPE and its partners.

A digital transformation accelerator, HPE GreenLake is the one platform that brings the cloud experience to apps and data where they live. It transforms traditional, non-cloud native apps with an open, container-first approach and enables businesses to create their own AI/ML competency in-house.


Tech refresh, upgrades, transformational projects or legacy system modernisation are all opportunities to have a conversation about moving to the on-premises cloud experience of HPE GreenLake. For current HPE compute users, bringing HPE legacy server estates under HPE GreenLake control is one way to get started.

Whether you are a current HPE user or not, as your IT partner, we can help you identify the best modernisation approach for your business needs and implement the right HPE solutions for your business goals.

Containerisation for App Modernisation and Analytics

Containerisation for App Modernisation and Analytics

DevOps is the practice of integrating development and operations processes to allow the quick and continuous delivery of high-quality software. DevOps has been designed to enhance the process of software development and lifecycle management. Organisations can now launch new software features in weeks rather than months, at a fraction of the cost, and with higher customer satisfaction.

Containers are quickly becoming an essential component of many DevOps processes. They are lightweight, adaptable to various settings, and easy to move from one team to another. They contribute to the expansion of cross-organisational cooperation. Containerisation enables developers and security teams to resolve concerns earlier in the development process before they escalate to production-level difficulties.

While it’s not strictly necessary to employ containers to leverage DevOps, containerisation helps eliminate many of the associated challenges. Containers isolate software and enable independent functions across multiple operating systems, hardware, networks, storage, and security policies. They allow the container-based applications to move smoothly between development, testing, and production environments. Each container consumes little computational resources, making it light and easy to deploy.

Why organisations turn to containerisation

Containerisation enables engineers to develop and deploy applications rapidly. Traditionally, code is written in a specific computing environment, leading to faults and mistakes when moved to a new environment e.g. A developer moves code from a desktop computer to a virtual machine (VM) or from Linux to Windows OS. Containerisation solves this issue by isolating the application’s code and necessary configuration files, libraries, and dependencies. Because this single software package, or container, is separated from the host operating system, it becomes self-contained and portable, allowing it to execute seamlessly across any platform or cloud.

Containers in use

Containers are used to improve value chains across many industries, including manufacturing, automotive, retail and healthcare. Containerisation:

  • Enables the gaming industry to design and scale new games.
  • Is used in healthcare and life sciences to improve the patient experience by monitoring millions of patients and trials on cloud platforms and rapidly improving services in response to customer/patient feedback.
  • Assists retailers in meeting the challenges of e-commerce through cloud-native systems that are trustworthy, fast, scalable, and efficient.

Container technology is gaining popularity due to faster time-to-market development cycles, lower capital expenditure requirements, IT resource reductions, and reduced unscheduled downtimes.  As more businesses become aware of the benefits of containerisation, the number of use cases will continue to grow.

Containerisation benefits

Containers simplify software development, testing, deployment, and redeployment across a broad range of environments, from on-premise data centres to cloud. Containers provide additional benefits, including:

  • Decreased overheads – containers are lightweight and use fewer system resources than standard virtual machine environments.
  • Portability – containers can be run on various operating systems and hardware platforms. Container deployment does not need changes to the application code or the build process.
  • Consistency – containerised applications work the same regardless of where they are deployed.
  • Efficiency – containers accelerate application deployment, updating, and scaling.
  • Application – containers enable agility, and allow DevOps teams to reduce development, testing, and production cycles.
  • Modularity – developers can split containers into smaller modules.

HPE Ezmeral – the industry’s first enterprise-grade container orchestration platform

HPE remains at the forefront of containerisation, developing many industry-first container technologies. HPE Ezmeral Container Platform combines technology advancements from HPE’s BlueData and MapR acquisitions, along with open-source Kubernetes orchestration. BlueData has a track record of success in containerising AI and analytics technologies. MapR contains an advanced file system and data fabric for persistent container storage.

Customers can extend the advantages of container agility and efficiency to other business apps using the HPE Ezmeral Container Platform, independent of where or how they are running (bare-metal, virtualised infrastructure, on-premise, multiple public clouds, or edge).

When constructing several on-premise or cloud-based Kubernetes clusters, the platform offers a secure multi-tenant control plane, essential for supporting traditional and cloud-native workloads. Both cloud-native microservices applications and traditional monolithic workloads, benefit from their ability to provide container speed and efficiency.

This open-source, Kubernetes-based solution offers standardised processes and services to both cloud-native and non-cloud native applications. Non-cloud native applications can benefit from the solution in terms of improved flexibility and productivity and a cloud-like experience. Ezmeral provides better compatibility for app developers dealing with monolithic, non-cloud-native applications. Machine learning, analytics, IoT/Edge, DevOps (CI/CD), and application modernisation are some of the most often encountered use cases in Ezmeral’s customer base.

Pathways to adopting Kubernetes

Kubernetes has emerged as an open-source system for automating deployment, scaling, and management of containerised applications. It is a required component of cloud-native apps and one of the most crucial components in adopting a cloud-first strategy by businesses.

Despite its great benefits, Kubernetes comes with some challenges. Setting up Kubernetes can be time consuming and complex. Achieving the correct infrastructure, network architecture, installation and setup of all Kubernetes components can be onerous. The platform’s production capabilities, user onboarding, and Kubernetes cluster administration should be enhanced beyond the initial setup and installation.

Using a turnkey solution like Ezmeral can help organisations leverage the full benefits of Kubernetes. Given the intricacy, not every company should build its platform first. Companies should first consider focusing on managing the cultural and organisational transformation before implementing new technology.

Businesses may consider starting small when using Kubernetes and gradually expand its application. Introducing new procedures and tools in small groups before rolling them out across the firm could be a preferred way to grasp Kubernetes and the operational integration required to deploy applications continuously.

Using default, pre-defined, or templated settings allows companies to capitalise on recognised patterns and best practices established by industry leaders. As companies gain knowledge and understanding of the technology, they may iteratively change, tweak, and reconfigure Kubernetes solutions to better meet their needs.


DevOps enables many businesses to adapt to evolving requirements. DevOps teams can engage more rapidly and build a culture of experimentation and openness due to traceability and repeatable organisational practices.

Containerised architectures and platforms are laying the basis for new approaches to information technology. Most industries have learned that running containers across on-premise and public clouds can reduce the complexity associated with portability and fragmented environments.

HPE Ezmeral is a managed containerisation solution based on Kubernetes that enables businesses to consolidate data and modernise applications. The Ezmeral solution enables enterprises to deliver a consistent experience across teams, while maximising their data’s value through analytics and data cloud services. This enables quick cloud modernisations without vendor lock-in. Ezmeral empowers businesses with open, cloud-native, and hybrid design elements.

We, as your IT partner, can help you with the acquisition and deployment of the best containerisation solutions to suit your business needs.

A Security-First Approach to Cloud Management

A Security-First Approach to Cloud Management

Embracing hybrid allows businesses to stay flexible while having an extensive selection of data and app deployment options. Hybrid cloud deployments can maximise organisational productivity by combining on-premise resources with public cloud services.

Last month, we saw how HPE Greenlake enables on-premise data centres to maximise cloud benefits through pre-configured infrastructure options. As part of the Greenlake offering, HPE provides, installs, manages and maintains the infrastructure. GreenLake eliminates hybrid cloud management complexities by allowing users to provision virtual machines and containers directly from the single user interface, HPE GreenLake Central.

GreenLake Central – a point-and-click cloud experience

HPE GreenLake Central is a cloud platform that provides secure and role-based access to trial, subscription, and consumption of HPE GreenLake service offerings. HPE GreenLake Central provides service orchestration, a unified cloud experience to applications and data across the customer’s HPE GreenLake estate, including private and public clouds, edge to core.

HPE GreenLake Central and associated services are developed with security as a cornerstone. Providing a robust, secure solution requires the foundation of a mature, secure software development lifecycle (SDLC) methodology. This is a critical aspect of the platform’s security, which is usually not noticed directly by users. Strict adherence to the secure SDLC is required to manage risk and achieve a demonstrably secure system.

With HPE GreenLake Central, customers can achieve a unified cloud experience across apps and data everywhere—private and public clouds, edges, and data centres—all through a single intuitive portal and management console. It brings together apps and tools that support and enrich our HPE GreenLake offering, such as HPE Consumption Analytics and continuous compliance controls (some are included, and others are available at additional cost). More than a portal, HPE GreenLake Central delivers the services that customers need to run their business, tailored and delivered to them through one unified view.

Businesses can use HPE GreenLake Central to:

  • Move faster with a self-service, point-and-click cloud experience
  • Deliver a tailored cloud experience with role-based access for IT, CIOs, DevOps, and finance
  • Gain quick insights across all functions with high-level KPIs, such as monthly costs, capacity, and compliance conditions
  • Try new services, such as continuous compliance controls and private cloud

HPE GreenLake Central security

HPE GreenLake’s infrastructure is designed with security in mind. When developing, deploying, hosting, and managing cloud services, HPE GreenLake prevents unauthorised access to user profile data. GreenLake Central simplifies and secures the management of HPE GreenLake services and resources. Administrators can manage IAM roles, access, and permissions to govern user behaviour in decentralised domains.

HPE GreenLake Central acts as the management plane and only handles customer contact information and credentials, such as user ID, password, access tokens and roles. This data is always encrypted, whether in transmission or at rest, and is also securely backed up and protected by isolation within Kubernetes (K8s) containers. All data transmission within HPE GreenLake Central and between external networks to and from HPE GreenLake Central is protected by encryption using TLS 1.2. Customer data is not transmitted through nor stored in HPE GreenLake Central

HPE GreenLake Central monitoring services cover everything from source code to running components, allowing HPE GreenLake to rapidly detect, investigate, and resolve critical issues.

The following are a few of the principles used to provide embedded security guardrails and enforce security best practices in the HPE GreenLake Central software development process:

  • Minimise attack surface: Enforce all service API exposure to be explicit and closed by default
  • Establish secure default: Secure defaults are provided throughout the workflow to ensure developers start secure
  • Provide least privilege: Services are isolated, resource sharing is structurally prohibited, and all privilege escalation must be explicit and approved
  • Offer continuous verification: Validate security parameters upon deployment, continuously validating that all security parameters are appropriate and performing continuous threat detection for bad actors in the system
  • Don’t trust services: All services are only accessed via public APIs and access is explicitly authenticated and authorised, rather than by network proximity or segmentation
  • Ensure separation of duties: Independent service delivery and isolation ensure a strict separation of duties for all services
  • Avoid security by obscurity: Use tools to ensure secrets management, secrets rotation, and handling of confidential information are all at the highest security standards
  • Keep security simple: Intrusion detection, security benchmark verifications, and dependency vulnerability scanning are built into the platform, requiring no conscious effort to implement
  • Fix issues correctly: Actively scan software artefacts for known vulnerabilities and automatically stop the integration process, enabling teams to remediate identified issues

GreenLake Central use cases

Being built with security at the core, GreenLake Central has the capability to serve the diverse needs of business professionals. Some notable use cases focus on cost management, provisioning and hybrid estate management.

Cost management

One of the key pain points for IT executives and LOBs is managing costs across hybrid cloud environments. Costs can quickly escalate without the right visibility and control. With HPE GreenLake Central, cost KPIs are integrated into the dashboard so businesses can easily see the current monthly costs and how spend is increasing or decreasing over time. If more detailed information is needed by location, resource, or month, it’s available through the Monthly Charges report.

GreenLake offers the secure and compliant environment for these investigations to occur. With Continuous Compliance capabilities, HPE experts work with the business to tailor frameworks according to their specific needs and requirements, selecting from over 1500 controls to ensure compliance across a wide range of areas such as HIPAA, GDPR, and more


Businesses benefit from the simplicity and speed with which they can deploy resources in the public cloud. It lets them react to changes in the business, or competitive pressure, faster and easier. It encourages innovation and experimentation without the risk of high up-front costs.

That’s the experience HPE GreenLake provides with managed private cloud. The ability to quickly spin up resources on-premises with just a few clicks and with the pay-per-use economics of public cloud. This is truly differentiating in the market.

HPE GreenLake Central enables a consistent experience to provision, monitor, and manage workloads across the private cloud. In a single dashboard, businesses can see their instances, open tickets, and activity logs, as well as stats on availability, response time, and open incidents.

Management of the hybrid estate

One of the major struggles that businesses have is managing their entire hybrid estate holistically. Typically, it requires different tools to get the insights you need across on-premises and multi cloud, which can be cumbersome and time-intensive.

HPE GreenLake breaks down the silos to deliver the insights and control needed to optimise business operations. The HPE Consumption Analytics Portal brings together usage and spend from HPE GreenLake and public cloud environments, so organisations gain greater visibility, manage capacity, and optimise costs.

Often, resources are underutilised or no longer being used, resulting in unnecessary spend. The Insights feature offers a rules-based recommendation engine that surfaces areas where businesses can optimise costs and mitigate risk.


Hybrid cloud offers a wide range of services to accelerate the efficient development and delivery of applications and services to meet the ever-increasing demands from lines of business. One of the major concerns with cloud solutions, however, is ensuring the security of the environments and the consistency of security controls across cloud providers, which may have different implementations.

HPE GreenLake Central (GLC) provides a platform in which the customer has a single point of administration for all workloads managed by HPE GreenLake running on public and private clouds. All businesses using HPE GreenLake benefit from an infrastructure architecture that is built to meet the requirements of the most security-sensitive organisations. As your trusted IT partner, we can help you explore the ways Greenlake can take your business to the next level.

Accelerate Digital Transformation in Today’s Distributed Cloud World

Accelerate Digital Transformation in Today’s Distributed Cloud World

Digital transformation – The next wave

During the last decade, many forward-thinking organisations embraced the first wave of digital transformation by moving select workloads to the public cloud. This catalyst for new business models, experiences, and efficiencies offered developers and IT operations the necessary speed and agility to build, learn, and scale new applications and capabilities, as well as simplify IT.

Today, however, true digital transformation requires more than just the public cloud.

As the pace of business and rate of change continue to drive unprecedented growth, a new model is required, one designed to manage billions of people and devices that continually create and share data.

The new model that supports the next wave of digital transformation is available now from HPE. By delivering a hybrid cloud (public + private) experience to applications and data everywhere, HPE eliminates complexity and silos, while also driving speed and agility using common tools, processes, and automation—all delivered as a service.

Define and move to your right mix

HPE Pointnext Services

Finding the right mix of clouds requires experience and insight into how your business operates can be complex. The first step is defining your business goals and identifying the challenges associated with achieving them. Depending on the scale of the project, we can help you leverage specialised resources from HPE Pointnext Services. The final step is moving to the right mix of clouds through a strategy which is specifically tailored to your business needs.

We will work with HPE Pointnext Services cloud and technology experts to determine the right mix for your business objectives, assess existing IT, people and teams to identify critical gaps in your cloud journey. We can also help migrate and move to a cost-saving consumption model by leveraging the experience gained during 1,000+ cloud transformation projects.

Create modern, right-fit, agile platforms for innovation

To reach the modern cloud experience, HPE delivers a portfolio of Intel®-powered, software-defined, composable, and optimised infrastructure platforms that support HPE IP and leading hybrid cloud partner solutions, including VMware® and Microsoft.

HPE, VMware, and Microsoft work together to provide a simple experience for hybrid cloud, so businesses can create and deliver new value instantly and continuously to achieve faster innovation, consistent operations and reduced cost.

The right compute options for your hybrid cloud solution

There are a variety of cloud solutions and compute options available through HPE and we can help you identify which is the best fit for your business.

VMware Cloud Foundation™

Proven to reduce total cost of ownership (TCO), VMware Cloud Foundation is a hybrid cloud platform designed to manage virtual machines (VMs) and orchestrate containers. By delivering enterprise agility, reliability, and efficiency from initial deployment through Day 2 operations, VMware Cloud Foundation helps businesses deploy the full software-defined stack as the foundation of their private cloud.

Together, HPE and VMware have revolutionised the data centre by building a single,

consistent hybrid cloud experience that simplifies both on-premises systems with software-defined infrastructure, powered by Intel, and hybrid cloud through VMware Cloud Foundation

Through optimised platforms—HPE Synergy and HPE ProLiant for VMware Cloud

Foundation—HPE offers the ability to leverage the benefits of a software-defined composable bladed and rack-optimised infrastructure. With these workload-optimised platforms, businesses can build a secure and scalable private cloud based on VMware’s software-defined data centre (SDDC) stack.

HPE ProLiant with VMware Cloud Foundation

To provide a highly scalable software-defined hybrid solution in a highly reliable rack-based form factor, HPE and VMware deliver the VMware Cloud Foundation on HPE ProLiant DL servers, powered by Intel. This solution supports effective and reliable firmware lifecycle management, and it can help maintain compliance by easily detecting firmware and drivers drift across the VMware ESXi™ hosts in the cluster and swiftly remediate them.

With HPE ProLiant-based hybrid clouds, businesses benefit from easy, repeatable, and expandable deployment, integrated VMware management and enhanced agility, and automated firmware lifecycle management workflow.

HPE Synergy with VMware Cloud Foundation

As the first composable infrastructure certified for VMware Cloud Foundation, HPE Synergy delivers seamless integration with VMware’s industry-leading cloud software.

As the first solution in the industry to bring this level of simplicity and flexibility in managing SDDC environments, HPE Synergy brings the power of composability natively to VMware Cloud Foundation.

With HPE Synergy, businesses can deploy an enterprise-ready private cloud solution that future-proofs infrastructure, simplifies deployment, reduces cost, and increases automation through software-defined composability.

Azure Stack HCI

Azure Stack HCI is a new hyperconverged infrastructure (HCI) operating system delivered as an Azure service that provides the latest security, performance, and feature updates. Deploy and run Windows and Linux® virtual machines (VMs) in your data centre or at the edge using your existing tools, processes, and skill sets.

Azure Stack HCI on HPE ProLiant

Get the convenience of a hyperconverged infrastructure to run private and hybrid cloud on a workload optimised platform—HPE ProLiant. This intelligent compute foundation delivers unmatched workload optimisation, security, and automation, all available as a service. Businesses benefit from:

  • Easier adoption of new common workloads with this simple yet high-performing infrastructure
  • Easier infrastructure planning with multiple validated server configurations from Intel and AMD
  • Deployment and configuration guidance through technical white papers and other
  • published documentation and training
  • Speed and agility delivered through HPE GreenLake as a service, offload the burden of operating IT, and pay only for the resources consumed

Build your hybrid cloud with unmatched security and ease of management

Silicon root of trust

Based on Intel® Xeon®-powered Gen10 servers integrating the silicon root of trust technology, HPE ProLiant and HPE Synergy offer protection, detection, and recovery from attacks with industry-leading encryption and firmware protection. HPE’s additional protection looks for a silicon fingerprint that verifies that all firmware code is valid and uncompromised. If the system fails that initial validation point, alerts are automatically sent to administrators.

HPE OneView

Designed to automate tasks and accelerate business, HPE OneView is an integrated IT management solution that transforms compute, storage, and networking into software-defined infrastructure. With the HPE OneView automation engine, a single line of code can fully describe and compose all the physical resources required for an application, a virtual host, or a container infrastructure—making physical infrastructure programmable.

Consume everything as a service

A critical component of HPE’s holistic digital transformation strategy, HPE GreenLake is a consumption-based as-a-service offering that brings the cloud to you. As a self-serve, pay-per-use service, HPE GreenLake allows businesses to scale cloud resources to meet demand. HPE GreenLake manages the cloud for you—controlling everything from apps and data in edges, co-locations, and data centres. With HPE GreenLake, you can free up capital, boost operational and financial flexibility, and unleash talent to accelerate what is next for your business.

There are also packages available for several other types of workloads, including storage, backup, database management, Big Data, private cloud, and high-performance computing (HPC).

​​Providing a consistent cloud experience for all apps and data through an online operations console, HPE GreenLake Central is an advanced software platform that runs, manages, and optimises your entire hybrid cloud estate. This self-service portal can provision instances and redeploy resources in on-premises environments with the same speed and agility as off-premises. It also enables you to complete complex cost, compliance, and security analysis across the HPE GreenLake pay-per-use private cloud, AWS, and Microsoft Azure.

HPE GreenLake and Azure Stack HCI hyperconverged solution delivers a virtualisation platform for Windows and Linux with native integration with Azure Arc and Azure monitor, and leading technology from HPE, delivered as a service.

With HPE GreenLake, businesses benefit from:

  • Intuitive, unified, self-service portal (HPE GreenLake Central)
  • HPE GreenLake hybrid cloud, helping companies get the most value from the cloud by gaining speed and innovation without the typical high costs, steep learning curve, and unintended risks
  • Scaling resources up and down as necessary to keep capacity ahead of demand
  • Management and governance services that operate the solutions for you
  • Rich portfolio of HPE GreenLake cloud services delivered in edges, co-locations, and data centres

Flexible IT investment solutions create financial vitality

Get the tech you need and do more with your IT budget. With flexible IT investment solutions from HPE Financial Services, you can have the freedom to move quickly and stay agile, the strength to pivot, and the confidence that your business is always ready for what’s next.

We can help accelerate your digital transformation

Moving to the cloud is no longer a matter of why, but of when and how. Cloud promises speed, agility, and cost savings—but realising the full value of cloud requires solving difficult challenges such as data gravity, security, compliance with regulations, cost management, and the need for organisational change.

As your IT partner, together with HPE Pointnext Services, we can help you identify the right steps to take in achieving your business objectives via digital transformation. We can help you define your problem and access specialised resources to ensure you meet your business goals.