“The foundation of any hybrid strategy is compute,” said Neil MacDonald, executive vice president and general manager, Compute, at HPE. “HPE Compute brings businesses closer to the edge, where data is created, where new cloud experiences are delivered, and where security is integral. The new HPE ProLiant Gen11 servers are engineered for the hybrid world to deliver an intuitive cloud operating experience, trusted security by design, and optimized performance for workloads.”

VIDEO: Be data-first: Next generation HPE ProLiant – engineered for your hybrid world

Intuitive cloud operating experience

On HPE ProLiant servers, an HPE GreenLake for Compute Ops Management subscription provides a cloud-native management console. This increases operational efficiency by securely automating the process to access, monitor, and manage servers, no matter where the compute environment lives.

The console provides simple, unified, and automated capabilities to allow customers to control their compute with global visibility and insight. Customers can also easily onboard thousands of distributed devices and benefit from faster server firmware updates to focus efforts on business operations, and not on managing complex IT infrastructure.

HPE GreenLake for Compute Ops Management also includes carbon footprint reporting for customers to view emission metrics, from individual servers to full compute environments, to monitor energy usage.

Trusted security by design

HPE continues to lead and deliver secure infrastructure, from edge to cloud, starting at the silicon level with the HPE Silicon Root of Trust, an industry-exclusive security capability that protects millions of lines of firmware code, from malware and ransomware, with a digital fingerprint that is unique to the server. Today, the HPE Silicon Root of Trust secures millions of HPE servers around the world.

The next-generation HPE ProLiant servers build on this security innovation with the following new features to protect data and systems:

• Ensure verification and authentication for device components with the new version of the HPE Integrated Lights-Out (iLO), with iLO6. ILO is a remote server management software that enables customers to securely configure, monitor, and update HPE servers seamlessly. The latest version features new authentication using the Security Protocol and Data Model (SPDM), a key security capability in servers for authenticating and securely monitoring devices in an open standards-based approach.
• Prevent alterations to unique server identity access with the inclusion of platform certifications and Secure Device Identity (iDevID) by default.
• Gain an additional layer of authentication by monitoring a secure boot and system state through the Trusted Platform Module (TPM).
• Adopt the highest level of security through the HPE Trusted Supply Chain. The HPE Trusted Supply Chain advances end-to-end security with certified servers that feature hardened data protection during the manufacturing process. Recently, HPE extended options for certified servers, from US-based factories, to produce and ship worldwide.
• Optimized performance for any workload

As organizations run more demanding workloads, including AI, machine learning, and rendering projects, they require optimal compute and accelerated compute performance. The next-generation HPE ProLiant servers are optimized to deliver high performance on an organization’s most data-intensive workloads and support a diverse set of architectures, including 4th Generation AMD EPYC processors, 4^th Gen Intel® Xeon Scalable processors, and Ampere Altra and Ampere Altra Max Cloud Native Processors.

Compared to the previous generation, the new HPE ProLiant Gen11 servers support twice as much I/O bandwidth for the most demanding applications, 50% more cores per CPU for improved workload consolidation, and 33% more high-performance GPU density per server to support AI and graphic-intensive workloads.

Service providers, and enterprises that are embracing cloud-native workloads, require dedicated, cloud-native compute to deliver agile and extensible capabilities to drive innovation. In June 2022, HPE announced that it was the first tier-one server provider to offer compute with optimized cloud-native silicon, using Ampere Altra and Ampere Altra Max Cloud Native Processors in the new HPE ProLiant RL300 Gen11 server.

Delivering a pay-as-you-go consumption model with HPE GreenLake

Organizations looking to transition from one generation to the next, can adopt HPE’s next-generation compute through a traditional infrastructure purchase or through a pay-as-you-go model with HPE GreenLake. HPE GreenLake is an as-a-service platform that enables customers to accelerate data-first modernization and provides over 70 cloud services that can run on-premises, at the edge, in a colocation facility, and in the public cloud.

Additionally, through HPE Financial Services (HPEFS), customers can convert existing technology assets into capital to purchase new or upgraded technology.

Expanding the customer experience with new services

Through HPE Pointnext Services, an award-winning team of over 15,000 experts, customers adopting the HPE ProLiant Gen11 servers can leverage in-depth global expertise to deploy next-generation HPE ProLiant servers and create new experiences, gain real-time insights from their data, and modernize IT to unlock value.

Today, HPE unveiled enhancements to its customer experience, supporting HPE ProLiant Gen11 servers, including:

• HPE Pointnext Complete Care Secure Locations offers customers assigned experts to deliver support to locations where access, connectivity as well as electronic and verbal communications, are subject to specific security measures.
• HPE Expert on Demand provides customers with access to services professionals with dedicated expertise related to HPE’s next-generation compute offerings.
• HPE Support Center, which provides online services and a support platform, has been enhanced to include greater collaboration, case management, enhanced virtual agent troubleshooting and a new digital insights dashboard.
• Support for HPE’s next-generation compute has been extended from three to five years, to up to seven years.

Availability

HPE ProLiant Gen11 servers featuring 4^th Generation AMD EPYC processors will be available to order worldwide starting on November 10, and available through the HPE GreenLake cloud platform.

The HPE ProLiant RL300 Gen11 server using Ampere processors is available to order worldwide today.

All HPE ProLiant servers can be purchased through HPE and HPE’s channel partners.

“We don’t just help our customers meet their ESG goals, we continue to push ourselves and our entire industry forward by improving upon our own,” said Antonio Neri, President and CEO. “At HPE, we have a significant responsibility and an intentional, focused plan to help our customers, suppliers and communities successfully transition to a zero-carbon future.”

Charting a course towards net-zero emissions

HPE’s seventh annual report reaffirms HPE’s promise to become a net-zero enterprise across its entire value chain, accelerating its target date by 10 years from 2050 to 2040. This commitment is backed by a new suite of targets that are consistent with a 1.5-degree Centigrade climate pathway and approved by the Science-based Target Initiative. By 2030, HPE pledges to reduce emissions within its own operations by 70% from 2020 levels, building on the 62% reduction already achieved over the five prior years. HPE will also reduce Scope 3 emissions by 42%, focusing on the use of sold products, upstream transportation and distribution, and direct supply chain emissions. By 2040, the company plans to reduce its entire global footprint by 90%.

To advance accountability to reach these new goals, HPE has introduced two new initiatives that will drive ESG progress at the leadership level:

• In 2022, all Vice President and above leaders will complete a mandatory climate training program with the aim of empowering leaders to create action plans within their organizations that mitigate climate impact. 
• Additionally, HPE has introduced a new compensation metric for members of its Executive Committee that ties a portion of variable pay to HPE’s management of carbon emissions across its value chain.

 As-a-service transition empowers customers to operate sustainably and efficiently

HPE’s transition to a consumption-based, as-a-service company is driving sustainable transformation efforts for its customers. With the HPE GreenLake edge-to-cloud platform, customers can flexibly scale their IT to meet their needs, thereby improving utilization levels and avoiding the waste of overprovisioning. Customers transitioning to HPE GreenLake from traditional CapEx models can achieve a greater than 30% reduction in energy costs and total cost of ownership. For example, Auckland Transport (AT), which records traffic across New Zealand, transitioned its video management system to the HPE GreenLake edge-to-cloud platform. In doing so, AT was able to pay for only the cloud services they used, add 60% more cameras to their system, and reduce their energy consumption 37%.

In addition to helping customers transition to as a service models, HPE is committed to technology reuse: 85% of the three million technology assets taken in from customers is reused. To help customers measure and manage their impact, HPEFS customers, and now selected partners’ customers,can receive an HPE Circular Economy report that details how their IT assets were processed and the associated environmental savings from those services, which can be used for Scope 3 carbon disclosure reporting.

Across its entire business, HPE works directly with customers to help them improve the efficiency and sustainability of their technology operations to meet their business needs. These uniquely customized engagements contributed to approximately $891 million in new net revenue for 2021, an increase of more than 185% in the last three years. In addition, in 2021, approximately 50% of HPE solutions had sustainability and efficiency attributes.

Building a diverse, engaged and inclusive culture

HPE continues to advance principles of diversity, equity and inclusion both within its workforce and beyond. In 2021, HPE met its annual target of increasing representation of both women and ethnically diverse talent. Representation of women in the workforce increased by 1% year-over-year, with increased representation at every level worldwide, exceeding goals in both technical and executive roles. HPE also increased representation of all underrepresented minorities in the U.S. by 1.6% overall.

In 2022 HPE continued to make progress in its efforts to identify and address pay disparities that may impact women and underrepresented minorities. As a result, HPE is proud that women in the U.S., U.K. and India – representing a majority of our workforce footprint – earn $1.00 for every $1.00 earned by their male counterparts when accounting for legitimate business factors such as job title, time in role, experience and location. The same is true of underrepresented minorities in the U.S., and to the company intends to ensure the same level of progress throughout the rest of the world as it moves forward with future pay reviews.

Operating with the highest ethical standards

HPE’s commitment to winning the right way in the marketplace extends beyond our operations into the development, deployment and use of its products and solutions. One example is product security. HPE remains the only company offering Commercial National Security Algorithm Suite (CNSA), the most advanced encryption for server platforms. In 2021, HPE introduced Project Aurora, which extends its secure root of trust and verification processes to deliver cloud-native, zero trust security to its edge-to-cloud architecture.

Additionally, in 2021, HPE launched its Artificial Intelligence (AI) Ethics Principles to support the responsible development, deployment and use of artificial intelligence. These principles inform product development, partnerships, and the internal use of third-party AI to support business operations.

HPE has also created more stringent supply chain responsibility targets in the last year to ensure its products are ethically sourced. By 2030, HPE aims for:

• 100% of HPE suppliers being committed to the employer pays principle in recruitment (98% of supplier spend) 
• 100% of major HPE suppliers training their workers on human rights (95% of supplier spend) 
• 100% of HPE tier 1 and 2 supplier sites having effective grievance processes for employees

Additional advancements to the platform add enhanced security, a new developer portal, developer tools, as well as deeper capabilities to manage assets and workloads at scale.

The new products give customers more choice, control, and foresight for enterprise cloud delivery, including backup and recovery, block storage, IT operations management, data networking, disaster recovery, hyperconverged infrastructure, and vertical industry cloud services for customer interaction and payments

The GreenLake platform provides a unified experience from the edge to the cloud; optimizes security, extends development tools and strengthens capabilities to run workloads at scale, provides customers and partners with a unified cloud experience, control and visibility, fast and easy access to 70+ cloud services , where organizations benefit from a control plane from which they can automate, orchestrate, and execute their hybrid cloud strategy. On the other hand, The Private Cloud Enterprise variant offers an automated, flexible, and scalable pay-as-you-go private cloud experience for traditional and cloud-native workloads. Both products will be available for the market during next September.

“Three years ago, we committed to offering our entire portfolio as a service by 2022,” said Antonio Neri, president and CEO of the firm. “Today I am proud to say that we have not only fulfilled that commitment, but we have also become a new company, the go-to destination for hybrid cloud, and our industry-leading portfolio of cloud services enables organizations to drive data modernization for all their workloads, from the edge to the cloud.”

HPE Swarm Learning, which was developed by Hewlett Packard Labs, HPE’s R&D organization, is the industry’s first privacy-preserving, decentralized machine learning framework for the edge or distributed sites.¹ The solution provides customers with containers that are easily integrated with AI models using the HPE swarm API. Users can then immediately share AI model learnings within their organization and outside with industry peers to improve training, without sharing actual data.

“Swarm learning is a new, powerful approach to AI that has already made progress in addressing global challenges such as advancing patient healthcare and improving anomaly detection that aid efforts in fraud detection and predictive maintenance,” said Justin Hotard, executive vice president and general manager, HPC & AI, at HPE. “HPE is contributing to the swarm learning movement in a meaningful way by delivering an enterprise-class solution that uniquely enables organizations to collaborate, innovate, and accelerate the power of AI models, while preserving each organization’s ethics, data privacy, and governance standards.”

Introducing a new AI approach to securely harness insights at the edge

Today, the majority of AI model training occurs at a central location, which relies on centralized merged datasets. However, this approach can be inefficient and costly due to having to move large volumes of data back to the same source. It can also be constrained by data privacy and data ownership rules and regulations that limit data sharing and movement, which can potentially lead to inaccurate and biased models. By training models and harnessing insights at the edge, businesses can make decisions faster, at the point of impact, leading to better experiences and outcomes. Additionally, by sharing learnings from one organization to another at the data source, various industries across the world can unite and further improve intelligence that can lead to tremendous business and societal outcomes.

However, sharing data externally may raise a challenge for organizations that are required to meet data governance, regulatory or compliance requirements, mandating that data stay at its location. HPE Swarm Learning uniquely enables organizations to use distributed data at its source, which increases the dataset size for training, to build machine learning models to learn in an equitable way, while preserving data governance and privacy. To ensure that only learnings captured from the edge are shared, and not the data itself, HPE Swarm Learning uses blockchain technology to securely onboard members, dynamically elect a leader, and merge model parameters to provide resilience and security to the swarm network. Additionally, by only sharing the learnings, HPE Swarm Learning allows users to leverage large training datasets, without compromising privacy, and helps remove biases to increase accuracy in models.

“Swarmifying” data to empower AI for the greater good

HPE Swarm Learning can help a range of organizations to collaborate and improve insights:

• Hospitals can derive learnings from imaging records, CT and MRI scans, and gene expression data to be shared from one hospital to another to improve diagnostics of diseases and other ailments, while protecting patient information. 
• Banking and financial services can fight the expected global loss of more than $400 billion in credit card fraud over the next decade², by sharing fraud-related learnings with more than one financial institution at a time.
  
  
• Manufacturing sites can benefit from predictive maintenance to gain insight into equipment repairing needs and address them before they fail and cause unwanted downtime. By leveraging swarm learning, maintenance managers can gain better insight by collecting learnings from sensor data across multiple manufacturing sites.

Example use cases of early HPE Swarm Learning adopters include:

University of Aachen studies histopathology to accelerate diagnosis of colon cancer

A team of cancer researchers at University Hospital of RWTH University Aachen in Germany conducted a study to advance diagnosis of colon cancer by applying AI on image processing to predict genetic alterations, which can cause cells to become cancerous.

The researchers trained AI models using HPE Swarm Learning on three groups of patients from Ireland, Germany and the U.S. and validated the prediction performance in two independent datasets from the United Kingdom using the same, swarm learning-based AI models. The results demonstrated that the original AI models, training only on local data, were outperformed using swarm learning due to sharing learnings, but not the patient data, with other entities to improve predictions.

TigerGraph advances anomaly detection to help banks fight credit card fraud

TigerGraph, provider of a leading graph analytics platform, combines HPE Swarm Learning with its data analytics offering running on HPE ProLiant servers using AMD EPYC processors to augment efforts in quickly detecting unusual activity in credit card transactions. The combined solution increases accuracy when training machine learning models from vast quantities of financial data from multiple banks and branches, across geological locations.

Availability

HPE Swarm Learning is available now in most countries.

HPE delivers a complete, ready-to-use machine learning development solution

HPE also announced today that it is removing barriers for enterprises to easily build and train machine learning models at scale, to realize value faster, with the new HPE Machine Learning Development System. The new system, which is purpose-built for AI, is an end-to-end solution that integrates a machine learning software platform, compute, accelerators, and networking to develop and train more accurate AI models faster, and at scale.

When an organization designs a strategy based on personalization, the most important thing is to collect relevant data from customers, such as their preferences, habits and expectations, in order to learn how to meet their needs. This collection is done through all kinds of Internet-connected devices, from smartwatches and smartphones to speakers, home appliances and even medical devices and smart city systems. The data that all these devices collect provides valuable information about users, and this is what has paved the way for a new concept, called the Internet of Behavior (IoB).

The IoB, an extension of the Internet of Things (IoT), connects devices that were not traditionally connected, such as screens or refrigerators, to the Internet and to each other: your smart watch with your cell phone and with the lighting system in your home, for example. It is precisely this interconnection of devices that provides a large amount of data and extremely valuable knowledge about us: the information we seek, how we behave, our interests and preferences, etc. Thanks to IoT and IoB, it is possible to track, collect, combine and interpret massive data generated through the behavior of individuals and their online activities, including social networks and commercial transactions, at the individual level.

More personalized customer experiences

Retail is already using IoT, IoB and edge computing developments to drive many of its initiatives. One example is the “buy online and pick up in store” scheme, whereby we can pick up an order without getting out of the car. How does this work? A smart camera with computer vision applications automatically identifies us from data such as the license plate and the make and color of the vehicle. This speeds up waiting times, increasing the number of customers that can be served, which is very useful, especially at peak times.

Installed inside stores, these same cameras could analyze which products we prefer and, by recognizing us (through patterns of colors and shapes), “alert” a digital sign of our arrival, to present us with advertisements and offers that are relevant to us. Can you imagine, as you walk through your favorite supermarket, digital signs making offers that make particular sense to you?

Solutions like these enrich the customer experience and drive loyalty by creating a fully personalized journey. Thanks to IoB and IoT, smart cars can recognize the need for a vehicle to be serviced, and then initiate a process that includes alerting the driver via the driving screen, while alerting the dealership that one of their customers’ cars requires an appointment, so that the dealership sends a notification directly to the driver’s cell phone about availability. For him, all he has to do is click on the day and time of his choice.

Best of all, there are multiple examples like these because more and more industries are leveraging new technologies to enable this new generation of services. Airlines are creating personalized omnichannel experiences by using artificial intelligence to link customer data (gathered online) with the experience they receive in airport lounges. Through facial recognition, they can prepare their customer service staff with the information they need to serve travelers by greeting them by name, offering them their favorite drink and providing recommendations based on their tastes, based on information from previous visits. This same dynamic can be taken to other environments, such as hotels or hospitals, to optimize the user experience.

The IoB also helps insurers. With the information that a connected vehicle provides (such as braking data, acceleration, miles driven and other factors), insurance companies can improve their decision making in terms of policy generation and coverage, as well as drive changes focused on making drivers and their passengers safer on the roads and highways.

Another example is in crowded events, such as concerts or soccer games, which have the particularity that in the intermission their restrooms and snack stations are filled with people. Using sensors and cameras, it is possible to track footfall and occupancy levels, and display approximate waiting times, thus benefiting both the customer experience and the sale of snacks and beverages.

Data has been important to businesses since the dawn of the Internet, but as you can see it is now much more so. That’s why the IoB is one of the top technology trends for the years to come, ensuring that organizations continue to grow in the context of a new post-pandemic reality and changing economic environments.

The heart of IoB is to understand all kinds of behaviors to improve the customer/user experience, and help companies make more informed decisions and improve the quality of their services.

HPE GreenLake platform – supporting multi-cloud experiences wherever workloads live

HPE GreenLake supports multi-cloud experiences everywhere – including clouds that live on-premises, at the edge, in a colocation facility, and in a public cloud – and continues to drive strong demand worldwide. In Q1 2022, HPE reported Annual Recurring Revenue of $798 million, and increased as-a-service orders 136 percent year-over-year.

HPE continues to invest and innovate in HPE GreenLake to provide customers one easy-to-use platform to radically transform and modernize their organization. Platform updates include:

• Convergence of Aruba Central, a cloud-native, AI-powered network management solution, with the HPE GreenLake platform. Now, more than 120,000 Aruba networking customers, which includes nearly 2 million devices to manage and 2 million API calls per day, can use the HPE GreenLake platform to order services on-demand and manage their assets.

• A new, unified operational experience that provides a simplified view and access to all cloud services, spanning the entire HPE portfolio, with single sign-on access, security, compliance, elasticity, and data protection.

The HPE GreenLake platform provides the foundation for more than 50 cloud services, including electronic health records, ML Ops, payments, unified analytics, and SAP HANA, as well as a wide- array of cloud services from partners.

HPE announces 12 new cloud services to drive data first modernization, from edge-to-cloud

HPE today unveiled 12 new cloud services in networking, data services, high performance computing and compute operations management.

HPE GreenLake for Aruba networking

As a leading provider and expert in delivering comprehensive edge connectivity networking solutions, HPE is building out its network as a service (NaaS) offerings with HPE GreenLake for Aruba networking. The eight new services simplify the process of procuring and deploying NaaS and allow customers to align network spend to usage needs, while ensuring that the network is always ready to support business objectives.

The new services are also optimized for channel partners looking to satisfy growing customer demand for NaaS, to operate in a resale or managed service provider model. Covering a full span of customer use cases – including wired, wireless, and SD-Branch – the new services provide unprecedented levels of velocity and flexibility, accelerating time to revenue.

HPE GreenLake Data Services

New and enhanced services for block storage and data protection join the current HPE GreenLake data services.

HPE GreenLake for Block Storage

HPE GreenLake for Block Storage is the industry’s first block storage as-a-Service to deliver 100% data availability guarantee² built-in on a cloud operational model.  It helps businesses transform faster and brings self-service agility to critical enterprise applications. The new offering delivers the following capabilities:

• Self-service provisioning to provide line of business owners and database admins the agility required to build and deploy new apps, services, and projects faster

• IT resources are freed to work on strategic, higher-value initiatives with 98% operational time savings.

HPE Backup and Recovery Service

Enhanced HPE Backup and Recovery Service is backup as a service built for hybrid cloud. Customers can effortlessly protect their data for Virtual Machines, gain rapid recovery on-premises, and deliver a cost-effective approach to store long-term backups in the public cloud. HPE Backup and Recovery Service is now available for Virtual Machines deployed on heterogeneous infrastructure.

Additionally, HPE is advancing its ransomware recovery solutions by adding immutable data copies – on-premises or on Amazon Web Services (AWS) with HPE Backup and Recovery Service.

HPE GreenLake for High Performance Computing

HPE is further enhancing its HPE GreenLake for High Performance Computing offerings, making it more accessible for any enterprise to adopt the technology, by adding new, purpose-built HPC capabilities. The new capabilities quickly tackle the most demanding compute and data-intensive workloads, to power AI and ML initiatives, and speed time to insight. These also include lower entry points to HPC, with a smaller configuration of 10 nodes, to test workloads and scale as needed. New capabilities include:

• Expanded GPU capabilities that will integrate with the new addition of HPE Apollo 6500 Gen10 system to accelerate compute and advance data-intensive projects using the NVIDIA A100, A40, and A30 Tensor Core GPUs in increments of 2-4-8 accelerators. Additionally, the new service will feature the NVIDIA NVLink for a seamless, high-speed connection between GPUs to work together as a single robust accelerator. The newly announced NVIDIA H100 Tensor Core GPU based on the new Hopper architecture with even higher compute performance will also be integrated in the near future.

• HPE Slingshot, the world’s only high-performance Ethernet fabric designed for HPC and AI solutions, to deliver high-performance networking to address demands for higher speed and congestion control in larger data-intensive and AI workloads.4

• ·HPE Parallel File System Storage, a scalable, high performance storage solution to deliver unprecedented throughput for broader HPC and AI needs.

• Multi-cloud connector APIs offer the ability to programmatically orchestrate HPC workflows on a diverse pool of computing resources such as other HPE GreenLake for HPC or public clouds. New model delivers more elasticity, scalability and tools to optimize usage of disaggregated resources. The capability improves collaboration by connecting to other projects between multiple sites, removing silos.

HPE GreenLake for Compute Ops Management

First introduced at HPE Discover 2021, the HPE GreenLake Compute Ops Management is a cloud-native management console to access, monitor, and manage servers. Compute Ops Management easily automates the compute lifecycle management and securely across a customer’s compute environment. Today, the cloud service is open for a 90-day free trial and will be available for purchase in June 2022.

Compute Ops Management has demonstrated early success with HPE’s customer Kimley-Horn, a leading U.S. firm specializing in design and engineering consulting in private and public infrastructure. By using the Compute Ops Manager, Kimley-Horn was able to speed-up overnight server updates four hours to 45 minutes.

HPE expands its partner ecosystem to deliver industry-leading solutions through HPE GreenLake

The HPE GreenLake platform attracts a broad ecosystem of partners seeking to deliver their applications and services on the platform.

HPE continues to invest in co-development with key distribution partners. First announced in March 2021, HPE GreenLake is now directly available in the cloud marketplaces and ecommerce platforms of ALSO Group, Arrow Electronics, Ingram Micro and TD Synnex. This opens up HPE GreenLake to over 100,000 partners, who can now leverage the platform to deliver the cloud experience to their clients. Updates include a catalog of pre-defined cloud services for the marketplaces, and improvements to automate ordering and billing.

HPE also today announced the availability of HPE GreenLake for Microsoft Azure Stack HCI, a new, optimized offering that provides customers more choice and flexibility for their hybrid IT environments. HPE GreenLake for Microsoft Azure Stack HCI is an integrated system, pre-built and configured for faster deployment and easier integration and delivered as a pay-per-use service from HPE GreenLake.

Finally, HPE announced today a new global agreement with Digital Realty, the largest global provider of cloud-and carrier-neutral data center, colocation and interconnection solutions. Digital Realty allows customers to run any HPE GreenLake service with colocation across Digital Realty’s more than 285 data centers on six continents, which includes sites in 50 major cities, to deliver a rich ecosystem of offerings and world-class business and cloud adjacency. Customers benefit from a seamless process with one agreement, invoice and integrated service management to speed time to value, sustainability objectives and innovation.

• HPE GreenLake for analytics – open and unified analytics cloud services to modernize all data and applications everywhere – on-premises, at the edge, and in the cloud

• HPE GreenLake for data protection – disaster recovery and backup cloud services to help customers take ransomware head-on and secure data from edge-to-cloud

• HPE Edge-to-Cloud Adoption Framework and automation tools – a comprehensive, proven set of methodologies expertise, and automation tools to accelerate and de-risk the path to a cloud experience everywhere.

“The big data and analytics software market, which IDC predicts will reach $110 billion by 2023, is ripe for disruption, as customers seek a hybrid solution for enterprise datasets on-premises and at the edge,” said Antonio Neri, president and CEO, at HPE. “Data is at the heart of every modernization initiative in every industry, and yet organizations have been forced to settle for legacy analytics platforms that lack cloud-native capabilities, or force complex migrations to the public cloud that require customers to adapt new processes and risk vendor lock-in. The new HPE GreenLake cloud services for analytics empower customers to overcome these trade-offs and gives them one platform to unify and modernize data everywhere. Together with the new HPE GreenLake cloud services for data protection, HPE provides customers with an unparalleled platform to protect, secure, and capitalize on the full value of their data, from edge to cloud.”

HPE continues to accelerate momentum for the HPE GreenLake edge-to-cloud platform. The HPE GreenLake platform now has more than 1,200 customers and $5.2 billion in total contract value. In HPE’s most recent quarter, Q3 2021, HPE announced that the company’s Annualized Revenue Run Rate was up 33 percent year-over-year, and as-a-service orders up 46 percent year-over-year. Most recently, HPE announced HPE GreenLake platform wins with Woolworths Group, Australia and New Zealand’s largest retailer, and the United States National Security Agency.

HPE GreenLake Rolls Out Industry’s First Cloud-Native Unified Analytics and Data Lakehouse Cloud Services Optimized for Hybrid Environments

HPE GreenLake for analytics enable customers to accelerate modernization initiatives, for all data, from edge to cloud. Available on the HPE GreenLake edge-to-cloud platform, the new cloud services are built to be cloud-native, and avoid complex data migrations to the public cloud by providing an elastic, unified analytics platform for data and applications on-premises, at the edge and in public clouds. Now analytics and data science teams can leverage the industry’s first cloud-native solution on-premises, scale-up Apache Spark lakehouses, and speed up AI and ML workflows. The new HPE GreenLake cloud services include the following:

• HPE Ezmeral Unified Analytics: Industry’s first unified, modern analytics and data lakehouse platform optimized for on-premises deployment and spans edge to cloud.

• HPE Ezmeral Data Fabric Object Store: Industry’s first Kubernetes-native object store optimized for analytics performance, providing access to data sets edge to cloud.

• Expanding HPE Ezmeral Partner Ecosystem: The HPE Ezmeral Partner Program delivers a rapidly growing set of validated full-stack solutions from ISV partners that enable customers to build their analytics engines. This includes new support from NVIDIA, Pepperdata and Confluent, and open-source projects such as Apache Spark. HPE has added 37 ISV partners to the HPE Ezmeral Partner Program since it was first introduced in March 2021, delivering additional ecosystem stack support of core use cases and workloads for customers, including big data and AI/ML use cases.

HPE Takes Cyberthreats and Ransomware Head-On with New HPE GreenLake Cloud Services to Protect Customers’ Data from Edge to Cloud

HPE today entered the rapidly growing data protection-as-a-service market with HPE GreenLake for data protection, new cloud services designed to modernize data protection from edge to cloud, overcome ransomware attacks, and deliver rapid data recovery.

• HPE Backup and Recovery Service: Backup as a service offering that provides policy-based orchestration and automation to backup and protect customers’ virtual machines across hybrid cloud, and eliminates the complexities of managing backup hardware, software, and cloud infrastructure.

• HPE GreenLake for Disaster Recovery: Following the close of the Zerto acquisition, HPE plans to deliver Zerto’s industry-leading disaster recovery as a service through HPE GreenLake, to help customers recover in minutes from ransomware attacks. Zerto provides best-in-class restore times without impacting business operations for all recovery scenarios.

HPE Accelerates Adoption of Cloud-Everywhere Operating Models with Proven Framework and Data-Driven Intelligence and Automations Tools

HPE also today announced a proven set of methodologies and automation tools to enable organizations to take a data-driven approach to achieve the optimal cloud operating model across all environments:

• The HPE Edge-to-Cloud Adoption Framework leverages HPE’s expertise in delivering solutions on-premises, to meet a broad spectrum of business needs for customers across the globe. HPE has identified several critical areas that enterprises should evaluate and measure to execute an effective cloud operating model. These domains, which include Strategy and Governance, People, Operations, Innovation, Applications, DevOps, Data, and Security, form the core of the HPE Edge-to-Cloud Adoption Framework.

• The cloud operational experience is enhanced with the industry’s leading AI Ops for infrastructure, HPE InfoSight, that now constantly observes applications and workloads running on the HPE GreenLake edge-to-cloud platform. The new capability, called HPE InfoSight App Insights, detects application anomalies, provides prescriptive recommendations, and keeps the application workloads running disruption free. HPE CloudPhysics delivers data-driven insights for smarter IT decisions across edge-to-cloud, enabling IT to optimize application workload placement, procure right-sized infrastructure services, and lower costs.

Product Availability

HPE GreenLake for analytics and HPE GreenLake for data protection will be available in 1H 2022.

The HPE Edge-to-Cloud Adoption Framework is available now.

HPE provides additional information about HPE product and services availability in the following blogs: 

HPE GreenLake for analytics

HPE GreenLake for data protection

HPE Edge-to-Cloud Adoption Framework

The company claims to have surpassed competitors by up to 39%¹ with its new computing solutions as part of the industry’s broadest set of AMD EPYC processor-based offerings. By using the new AMD EPYC 7003 Series Processor, HPE has secured 19 world records in key areas for optimizing workload experiences, including achieving leadership positions in virtualization, energy efficiency, database analytic workloads, and Java applications.

To date, HPE servers and systems using 2^nd and 3^rd Gen AMD EPYC processors combined hold a total of 32 world records.

This new portfolio of HPE ProLiant servers and HPE Apollo systems uses the 3^rd Gen AMD EPYC processor to provide foundational compute platforms that deliver unmatched performance, security, automation, and remote management capabilities to support a range of critical workloads that are essential to digital transformation. Additionally, HPE is offering the HPE Cray EX supercomputer, leveraging the 3^rd Gen AMD EPYC, to power high-end supercomputing needs, such as exascale-class systems that are up to 10X faster than today’s most powerful supercomputers. With the enhanced portfolio and advancements to performance, HPE is enabling organizations to seamlessly scale, manage and speed time-to-value for any experience from the edge to exascale.

Customers can easily adopt these latest HPE solutions using HPE GreenLake, an elastic, pay-per-use, as-a-service platform that can run on-premises, at the edge, or in a colocation facility. HPE GreenLake combines the simplicity and agility of the cloud with the governance, compliance, and visibility that comes with hybrid cloud.

“Digital transformation is reshaping every industry, and new digital models are evolving to support the growing adoption of edge, 5G and artificial intelligence technologies as well as adapt to new technology demands prompted by COVID-19. HPE is addressing these dynamic market needs every step of the way with high-performing solutions that can scale, secure and efficiently run workloads to speed time-to-value,” said Neil MacDonald, senior vice president and general manager, Compute Business Group at HPE. “Today, through our longtime collaboration and joint engineering with AMD, we are delivering the biggest and broadest portfolio of computing solutions, using the new 3^rd Gen AMD EPYC processor, to transform infrastructure and provide the economics, agility and ease of management that is critical to tomorrow’s data center needs.”

Virtualization, energy efficiency, decision support database workloads, and server-side Java

HPE ProLiant servers and HPE Apollo systems, which offer scalable, versatile, and end-to-end security capabilities to power any workload, achieved leadership positions and several world records, based on independent industry benchmarks. The results include:

• Driving server consolidation up and operational costs down with virtualization achieved with the HPE ProLiant DL385 Gen10 Plus v2 server, providing 39% better performance than the previous record holder.
• Increasing performance and sustainability to reduce operational costs with the HPE Apollo 2000 Gen10 Plus system with HPE ProLiant XL225n Gen10 Plus server delivering 18 world records and up to 54% higher energy efficiency than other 4-node systems.
• Speeding up database queries on decision support workloads with the HPE ProLiant DL345 Gen10 Plus server, a brand new server line targeted for storage-optimized solutions for database workloads. The new server achieved the number one non-clustered result for decision support database workloads, and the HPE ProLiant DL385 Gen10 Plus v2 server achieved two number one non-clustered results providing 14.4% better performance compared to a 4-socket server and 15.5% cost reduction.
• Optimizing Java applications for emerging use cases across industries such as banking and financial services, manufacturing, and healthcare and life sciences with the HPE ProLiant DL385 Gen10 Plus v2 server showing two-processor leadership with better performance by up to 17.1% and the HPE ProLiant DL345 Gen10 Plus server with one-processor performance by up to 16.8%.

As part of the portfolio using the 3^rd Gen AMD EPYC processor, HPE has also introduced two new server lines to its growing HPE ProLiant family with the HPE ProLiant DL345 Gen10 Plus server to target storage-optimized solutions for database workloads, and the HPE ProLiant DL365 Gen10 Plus server to target virtual desktop infrastructure (VDI) solutions.

HPE Apollo systems, which are purpose-built to support HPC applications such as modeling and simulation, help organizations of any size accelerate business and research outcomes by efficiently processing large amounts of data and turning them into digital models to understand how something will look and perform in the real world. The systems are also optimized for artificial intelligence capabilities to improve training and increase accuracy in results. HPE is introducing the HPE Apollo 2000 Gen10 Plus and HPE Apollo 6500 Gen10 Plus systems with the 3^rd Gen of AMD EPYC processor to deliver even more performance, efficiency and targeted capabilities for HPC and AI workloads.

The enhanced HPE Apollo systems are also enabling the new HPE GreenLake cloud services for HPC which are fully managed services, allowing any enterprise to benefit from the power of an agile, elastic, pay-per-use cloud experience to tackle their most demanding compute and data-intensive workloads and speed time-to-insight through a flexible as-a-service platform that customers can run on-premises or in a colocation facility.

For high-end supercomputing solutions, HPE delivers the HPE Cray EX supercomputer, which features an advanced HPC architecture designed for next-generation supercomputing, such as for exascale-class systems that are 10X faster than today’s most powerful supercomputers. The latest HPE Cray EX supercomputers leverage AMD technology to power some of the world’s fastest supercomputers that are accelerating complex scientific research across a range of challenging areas from extreme weather forecasting and vaccine discovery to modeling and designing automobiles and planes.

HPE is building supercomputers using the HPE Cray EX supercomputer, featuring the 3^rd Gen AMD EPYC processor, for LUMI in Finland, as part of the European High Performance Computing Joint Undertaking, Pawsey Supercomputing Centre in Australia, and the National Center for Atmospheric Research (NCAR) in the U.S. HPE is also using the HPE Cray EX supercomputer, leveraging the 3^rd Gen AMD EPYC processor and next-generation AMD Instinct GPUs , to build one of the first U.S. exascale systems, called Frontier, for the U.S. Department of Energy’s Oak Ridge National Laboratory.

Full portfolio of HPE servers and systems supporting the new 3^rd Gen AMD EPYC processor include:

• HPE ProLiant DL325 Gen10 Plus v2 server
• HPE ProLiant DL385 Gen10 Plus v2 server
• HPE ProLiant DL345 Gen10 Plus server
• HPE ProLiant DL365 Gen10 Plus server
• HPE Apollo 2000 Gen10 Plus system with the HPE ProLiant XL225n Gen10 Plus server
• HPE Apollo 6500 Gen10 Plus system with the HPE ProLiant XL675d Gen10 Plus server
• HPE Apollo 6500 Gen10 Plus system with the HPE ProLiant XL645d Gen10 Plus server
• HPE Cray EX supercomputer EX425
• HPE Cray EX supercomputer EX235n

Availability

All new HPE Apollo systems with the 3^rd Gen AMD EPYC processor will be available worldwide on April 6. All new HPE ProLiant servers with the 3^rd Gen AMD EPYC processor will be available worldwide on April 19.

All HPE ProLiant servers and HPE Apollo systems with the 3^rd Gen AMD EPYC processor will also be available through HPE GreenLake.