The importance of location intelligence and big data for 5G growth

December 20, 2021 | 70 views

5G_growth
The pandemic has had a seismic impact on the telecom sector. This is perhaps most notably because where and how the world goes to work has been re-defined, with nearly every business deepening its commitment to mobility. Our homes suddenly became our offices, and workforces went from being centrally managed to widely distributed. This has called for a heightened need for widespread, secure and high-speed connectivity around the clock.
5G has answered the call, and 5G location intelligence and big data can provide service providers with the information they need to optimize their investments.

Case in point: Juniper Research reported in its 5G Monetization study that global revenue from 5G services will reach $73 billion by the end of 2021, rising from just $20 billion last year.

5G flexes as connected devices surge

Market insights firm IoT Analytics estimates there will be more than 30 billion IoT connections by 2025. That's an average of nearly four IoT devices per person. To help meet the pressure this growth in connectivity is putting on telecom providers, the Federal Communications Commission (FCC) is taking action to make additional spectrum available for 5G services and promoting the digital opportunities it provides to Americans. The FCC is urging that investments in 5G infrastructure be prioritized given the "widespread mobility opportunity" it presents, as stated by FCC Chairwoman Jessica Rosenworcel.

While that's a good thing, we must also acknowledge that launching a 5G network presents high financial risk, among other challenges. The competitive pressures are significant, and network performance matters greatly when it comes to new business acquisition and retention. It's imperative to make wise decisions on network build-out to ensure investments yield the anticipated returns.

Thus, telcos need not – and should not – go it blindly when considering where to invest. You don't know what you don't know, which is why 5G location intelligence and big data can provide an incredible amount of clarity (and peace of mind) when it comes to optimizing investments, increasing marketing effectiveness and improving customer satisfaction.

Removing the blindfold

Location data and analytics provide telcos and Communications Service Providers (CSPs) with highly-specific insights to make informed decisions on where to invest in 5G. With this information, companies can not only map strategic expansion, but also better manage assets, operations, customers and products.

For example, with this intelligence, carriers can gain insight into the most desired locations of specific populations and how they want to use bandwidth. They can use this data to arm themselves with a clear understanding of customer location and mobility, mapping existing infrastructure and competitive coverage against market requirements to pinpoint new opportunities. By creating complex customer profiles rich with demographic information like age, income and lifestyle preferences, the guesswork is eliminated for where the telco should or shouldn’t deploy new 5G towers.

Further, by mapping a population of consumers and businesses within a specific region and then aggregating that information by age, income or business type, for example, a vivid picture comes to life of the market opportunity for that area.

This type of granular location intelligence adds important context to existing data and is a key pillar to data integrity, which describes the overall quality and completeness of a dataset. When telcos can clearly understand factors such as boundaries, movement and the customers’ surroundings, predictive insights can be made regarding demographic changes and future telecom requirements within a certain location. This then serves as the basis for a data-backed 5G expansion strategy. Without it, businesses are burdened by the trial-and-error losses that are all too common with 5G build-outs.

Location precision's myriad benefits

Improved location precision has many benefits for telcos looking to pinpoint where to build, market and provision 5G. Among them are:

Better data: Broadening insights on commercial, residential and mixed-use locations through easy-to-consume, scalable datasets provide highly accurate in-depth analyses for marketing and meeting customer demand.
Better serviceability insights: Complete and accurate location insights allow for a comprehensive view of serviceable addresses where products and services can be delivered to current and new customers causing ROI to improve and customers to be adequately served.
Better subscriber returns: Companies that deploy fixed wireless services often experience plan cancellations due to inconsistencies of signal performance, which typically result from the misalignment of sites with network assets. Location-based data provides operators with the ability to adapt their networks for signal consistency and serviceability as sites and structures change.

The 5G future

The role of location intelligence in accelerating development of new broadband services and driving ROI in a 5G world cannot be overstated. It adds a critical element of data integrity that informs network optimization, customer targeting and service provisioning so telecom service providers can ensure their investments are not made with blind hope.


Spotlight

SPS Commerce

SPS Commerce perfects the power of trading partner relationships with the industry's most broadly adopted, retail cloud services platform. As a leader in cloud-based supply chain management solutions, we provide proven integrations and comprehensive retail performance analytics to thousands of customers worldwide. SPS Commerce has achieved 62 consecutive quarters of revenue growth and is headquartered in Minneapolis. For additional information.

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APPLICATION INFRASTRUCTURE

Infrastructure Lifecycle Management Best Practices

Article | November 23, 2021

As your organization scales, inevitably, so too will its infrastructure needs. From physical spaces to personnel, devices to applications, physical security to cybersecurity – all these resources will continue to grow to meet the changing needs of your business operations. To manage your changing infrastructure throughout its entire lifecycle, your organization needs to implement a robust infrastructure lifecycle management program that’s designed to meet your particular business needs. In particular, IT asset lifecycle management (ITALM) is becoming increasingly important for organizations across industries. As threats to organizations’ cybersecurity become more sophisticated and successful cyberattacks become more common, your business needs (now, more than ever) to implement an infrastructure lifecycle management strategy that emphasizes the security of your IT infrastructure. In this article, we’ll explain why infrastructure management is important. Then we’ll outline steps your organization can take to design and implement a program and provide you with some of the most important infrastructure lifecycle management best practices for your business. What Is the Purpose of Infrastructure Lifecycle Management? No matter the size or industry of your organization, infrastructure lifecycle management is a critical process. The purpose of an infrastructure lifecycle management program is to protect your business and its infrastructure assets against risk. Today, protecting your organization and its customer data from malicious actors means taking a more active approach to cybersecurity. Simply put, recovering from a cyber attack is more difficult and expensive than protecting yourself from one. If 2020 and 2021 have taught us anything about cybersecurity, it’s that cybercrime is on the rise and it’s not slowing down anytime soon. As risks to cybersecurity continue to grow in number and in harm, infrastructure lifecycle management and IT asset management are becoming almost unavoidable. In addition to protecting your organization from potential cyberattacks, infrastructure lifecycle management makes for a more efficient enterprise, delivers a better end user experience for consumers, and identifies where your organization needs to expand its infrastructure. Some of the other benefits that come along with comprehensive infrastructure lifecycle management program include: More accurate planning; Centralized and cost-effective procurement; Streamlined provisioning of technology to users; More efficient maintenance; Secure and timely disposal. A robust infrastructure lifecycle management program helps your organization to keep track of all the assets running on (or attached to) your corporate networks. That allows you to catalog, identify and track these assets wherever they are, physically and digitally. While this might seem simple enough, infrastructure lifecycle management and particularly ITALM has become more complex as the diversity of IT assets has increased. Today organizations and their IT teams are responsible for managing hardware, software, cloud infrastructure, SaaS, and connected device or IoT assets. As the number of IT assets under management has soared for most organizations in the past decade, a comprehensive and holistic approach to infrastructure lifecycle management has never been more important. Generally speaking, there are four major stages of asset lifecycle management. Your organization’s infrastructure lifecycle management program should include specific policies and processes for each of the following steps: Planning. This is arguably the most important step for businesses and should be conducted prior to purchasing any assets. During this stage, you’ll need to identify what asset types are required and in what number; compile and verify the requirements for each asset; and evaluate those assets to make sure they meet your service needs. Acquisition and procurement. Use this stage to identify areas for purchase consolidation with the most cost-effective vendors, negotiate warranties and bulk purchases of SaaS and cloud infrastructure assets. This is where lack of insights into actual asset usage can potentially result in overpaying for assets that aren’t really necessary. For this reason, timely and accurate asset data is crucial for effective acquisition and procurement. Maintenance, upgrades and repair. All assets eventually require maintenance, upgrades and repairs. A holistic approach to infrastructure lifecycle management means tracking these needs and consolidating them into a single platform across all asset types. Disposal. An outdated or broken asset needs to be disposed of properly, especially if it contains sensitive information. For hardware, assets that are older than a few years are often obsolete, and assets that fall out of warranty are typically no longer worth maintaining. Disposal of cloud infrastructure assets is also critical because data stored in the cloud can stay there forever. Now that we’ve outlined the purpose and basic stages of infrastructure lifecycle management, it’s time to look at the steps your organization can take to implement it.

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APPLICATION INFRASTRUCTURE

The Drive with Direction: The Path of Enterprise IT Infrastructure

Article | June 6, 2022

Introduction It is hard to manage a modern firm without a convenient and adaptable IT infrastructure. When properly set up and networked, technology can improve back-office processes, increase efficiency, and simplify communication. IT infrastructure can be utilized to supply services or resources both within and outside of a company, as well as to its customers. IT infrastructure when adequately deployed aids organizations in achieving their objectives and increasing profits. IT infrastructure is made up of numerous components that must be integrated for your company's infrastructure to be coherent and functional. These components work in unison to guarantee that your systems and business as a whole run smoothly. Enterprise IT Infrastructure Trends Consumption-based pricing models are becoming more popular among enterprise purchasers, a trend that began with software and has now spread to hardware. This transition from capital to operational spending lowers risk, frees up capital, and improves flexibility. As a result, infrastructure as a service (IaaS) and platform as a service (PaaS) revenues increased by 53% from 2015 to 2016, making them the fastest-growing cloud and infrastructure services segments. The transition to as-a-service models is significant given that a unit of computing or storage in the cloud can be quite cheaper in terms of the total cost of ownership than a unit on-premises. While businesses have been migrating their workloads to the public cloud for years, there has been a new shift among large corporations. Many companies, including Capital One, GE, Netflix, Time Inc., and others, have downsized or removed their private data centers in favor of shifting their operations to the cloud. Cybersecurity remains a high priority for the C-suite and the board of directors. Attacks are increasing in number and complexity across all industries, with 80% of technology executives indicating that their companies are unable to construct a robust response. Due to lack of cybersecurity experts, many companies can’t get the skills they need on the inside, so they have to use managed security services. Future of Enterprise IT Infrastructure Companies can adopt the 'As-a-Service' model to lower entry barriers and begin testing future innovations on the cloud's basis. Domain specialists in areas like healthcare and manufacturing may harness AI's potential to solve some of their businesses' most pressing problems. Whether in a single cloud or across several clouds, businesses want an architecture that can expand to support the rapid evolution of their apps and industry for decades. For enterprise-class visibility and control across all clouds, the architecture must provide a common control plane that supports native cloud Application Programming Interfaces (APIs) as well as enhanced networking and security features. Conclusion The scale of disruption in the IT infrastructure sector is unparalleled, presenting enormous opportunities and hazards for industry stakeholders and their customers. Technology infrastructure executives must restructure their portfolios and rethink their go-to-market strategies to drive growth. They should also invest in the foundational competencies required for long-term success, such as digitization, analytics, and agile development. Data center companies that can solve the industry's challenges, as well as service providers that can scale quickly without limits and provide intelligent outcome-based models. This helps their clients achieve their business objectives through a portfolio of 'As-a-Service' models, will have a bright future.

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APPLICATION INFRASTRUCTURE

A Look at Trends in IT infrastructure and Operations for 2022

Article | November 11, 2021

We’re all hoping that 2022 will finally end the unprecedented challenges brought by the global pandemic and things will return to a new normalcy. For IT infrastructure and operations organizations, the rising trends that we are seeing today will likely continue, but there are still a few areas that will need special attention from IT leaders over the next 12 to 18 months. In no particular order, they include: The New Edge Edge computing is now at the forefront. Two primary factors that make it business-critical are the increased prevalence of remote and hybrid workplace models where employees will continue working remotely, either from home or a branch office, resulting in an increased adoption of cloud-based businesses and communications services. With the rising focus on remote and hybrid workplace cultures, Zoom, Microsoft Teams, and Google Meet have continued to expand their solutions and add new features. As people start moving back to office, they are likely to want the same experience they had from home. In a typical enterprise setup, branch office traffic is usually backhauled all the way to the data center. This architecture severely impacts the user experience, so enterprises will have to review their network architectures and come up with a roadmap to accommodate local egress between branch offices and headquarters. That’s where the edge can help, bringing it closer to the workforce. This also brings an opportunity to optimize costs by migrating from some of the expensive multi-protocol label switching (MPLS) or private circuits to relatively low-cost direct internet circuits, which is being addressed by the new secure access service edge (SASE) architecture that is being offered by many established vendors. I anticipate some components of SASE, specifically those related to software-defined wide area network (SD-WAN), local egress, and virtual private network (VPN), will drive a lot of conversation this year. Holistic Cloud Strategy Cloud adoption will continue to grow, and along with software as a service (SaaS), there will be renewed interest in infrastructure as a service (IaaS), albeit for specific workloads. For a medium-to-large-sized enterprise with a substantial development environment, it will still be cost-prohibitive to move everything to the cloud, so any cloud strategy would need to be holistic and forward-looking to maximize its business value. Another pandemic-induced shift is from using virtual machines (VMs) as a consumption unit of compute to containers as a consumption unit of software. For on-premises or private cloud deployment architectures that require sustainable management, organizations will have to orchestrate containers and deploy efficient container security and management tools. Automation Now that cloud adoption, migration, and edge computing architectures are becoming more prevalent, the legacy methods of infrastructure provisioning and management will not be scalable. By increasing infrastructure automation, enterprises can optimize costs and be more flexible and efficient—but only if they are successful at developing new skills. To achieve the goal of “infrastructure as a code” will require a shift in the perspective on infrastructure automation to one that focuses on developing and sustaining skills and roles that improve efficiency and agility across on-premises, cloud, and edge infrastructures. Defining the roles of designers and architects to support automation is essential to ensure that automation works as expected, avoids significant errors, and complements other technologies. AIOps (Artificial Intelligence for IT Operations) Alongside complementing automation trends, the implementation of AIOps to effectively automate IT operations processes such as event correlation, anomaly detection, and causality determination will also be important. AIOps will eliminate the data silos in IT by bringing all types of data under one roof so it can be used to execute machine learning (ML)-based methods to develop insights for responsive enhancements and corrections. AIOps can also help with probable cause analytics by focusing on the most likely source of a problem. The concept of site reliability engineering (SRE) is being increasingly adopted by SaaS providers and will gain importance in enterprise IT environments due to the trends listed above. AIOps is a key component that will enable site reliability engineers (SREs) to respond more quickly—and even proactively—by resolving issues without manual intervention. These focus areas are by no means an exhaustive list. There are a variety of trends that will be more prevalent in specific industry areas, but a common theme in the post-pandemic era is going to be superior delivery of IT services. That’s also at the heart of the Autonomous Digital Enterprise, a forward-focused business framework designed to help companies make technology investments for the future.

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A new era of automation with Cisco ACI and the Citrix ADC Manager app

Article | February 12, 2020

Since it was first available, Citrix has worked with Cisco Application Centric Infrastructure (ACI) to integrate Citrix ADC with the Cisco Application Policy Infrastructure Controller (APIC). As a valued technology partner, Citrix has a device package — a software module — that enables users to configure the Citrix ADC directly from a Cisco APIC. This setup has run in many customer production environments over the years. Let’s consider one of those customers — Jim. He was the first to deploy the integrated solution in his data center. The solution gave him the automation he needed and a single view to configure, deploy, and manage applications. However, his application admins preferred to use the Citrix ADC user interface to manage L4-L7 services.

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SPS Commerce

SPS Commerce perfects the power of trading partner relationships with the industry's most broadly adopted, retail cloud services platform. As a leader in cloud-based supply chain management solutions, we provide proven integrations and comprehensive retail performance analytics to thousands of customers worldwide. SPS Commerce has achieved 62 consecutive quarters of revenue growth and is headquartered in Minneapolis. For additional information.

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Inspur Announces MLPerf v2.0 Results for AI Servers

Inspur | July 04, 2022

The open engineering consortium MLCommons released the latest MLPerf Training v2.0 results, with Inspur AI servers leading in closed division single-node performance. MLPerf is the world’s most influential benchmark for AI performance. It is managed by MLCommons, with members from more than 50 global leading AI companies and top academic institutions, including Inspur Information, Google, Facebook, NVIDIA, Intel, Harvard University, Stanford University, and the University of California, Berkeley. MLPerf AI Training benchmarks are held twice a year to track improvements in computing performance and provide authoritative data guidance for users. The latest MLPerf Training v2.0 attracted 21 global manufacturers and research institutions, including Inspur Information, Google, NVIDIA, Baidu, Intel-Habana, and Graphcore. There were 264 submissions, a 50% increase over the previous round. The eight AI benchmarks cover current mainstream usage AI scenarios, including image classification with ResNet, medical image segmentation with 3D U-Net, light-weight object detection with RetinaNet, heavy-weight object detection with Mask R-CNN, speech recognition with RNN-T, natural language processing with BERT, recommendation with DLRM, and reinforcement learning with MiniGo. Among the closed division benchmarks for single-node systems, Inspur Information with its high-end AI servers was the top performer in natural language processing with BERT, recommendation with DLRM, and speech recognition with RNN-T. It won the most titles among single-node system submitters. For mainstream high-end AI servers equipped with eight NVIDIA A100 Tensor Core GPUs, Inspur Information AI servers were top ranked in five tasks (BERT, DLRM, RNN-T, ResNet and Mask R-CNN). Continuing to lead in AI computing performance Inspur AI servers continue to achieve AI performance breakthroughs through comprehensive software and hardware optimization. Compared to the MLPerf v0.5 results in 2018, Inspur AI servers showed significant performance improvements of up to 789% for typical 8-GPU server models. The leading performance of Inspur AI servers in MLPerf is a result of its outstanding design innovation and full-stack optimization capabilities for AI. Focusing on the bottleneck of intensive I/O transmission in AI training, the PCIe retimer-free design of Inspur AI servers allows for high-speed interconnection between CPUs and GPUs for reduced communication delays. For high-load, multi-GPU collaborative task scheduling, data transmission between NUMA nodes and GPUs is optimized to ensure that data I/O in training tasks is at the highest performance state. In terms of heat dissipation, Inspur Information takes the lead in deploying eight 500W high-end NVIDIA Tensor Core A100 GPUs in a 4U space, and supports air cooling and liquid cooling. Meanwhile, Inspur AI servers continue to optimize pre-training data processing performance, and adopt combined optimization strategies such as hyperparameter and NCCL parameter, as well as the many enhancements provided by the NVIDIA AI software stack, to maximize AI model training performance. Greatly improving Transformer training performance Pre-trained massive models based on the Transformer neural network architecture have led to the development of a new generation of AI algorithms. The BERT model in the MLPerf benchmarks is based on the Transformer architecture. Transformer’s concise and stackable architecture makes the training of massive models with huge parameters possible. This has led to a huge improvement in large model algorithms, but necessitates higher requirements for processing performance, communication interconnection, I/O performance, parallel extensions, topology and heat dissipation for AI systems. In the BERT benchmark, Inspur AI servers further improved BERT training performance by using methods including optimizing data preprocessing, improving dense parameter communication between NVIDIA GPUs and automatic optimization of hyperparameters, etc. Inspur Information AI servers can complete BERT model training of approximately 330 million parameters in just 15.869 minutes using 2,850,176 pieces of data from the Wikipedia data set, a performance improvement of 309% compared to the top performance of 49.01 minutes in Training v0.7. To this point, Inspur AI servers have won the MLPerf Training BERT benchmark for the third consecutive time. Inspur Information’s two AI servers with top scores in MLPerf Training v2.0 are NF5488A5 and NF5688M6. The NF5488A5 is one of the first servers in the world to support eight NVIDIA A100 Tensor Core GPUs with NVIDIA NVLink technology and two AMD Milan CPUs in a 4U space. It supports both liquid cooling and air cooling. It has won a total of 40 MLPerf titles. NF5688M6 is a scalable AI server designed for large-scale data center optimization. It supports eight NVIDIA A100 Tensor Core GPUs and two Intel Ice Lake CPUs, up to 13 PCIe Gen4 IO, and has won a total of 25 MLPerf titles. About Inspur Information Inspur Information is a leading provider of data center infrastructure, cloud computing, and AI solutions. It is the world’s 2nd largest server manufacturer. Through engineering and innovation, Inspur Information delivers cutting-edge computing hardware design and extensive product offerings to address important technology sectors such as open computing, cloud data center, AI, and deep learning. Performance-optimized and purpose-built, our world-class solutions empower customers to tackle specific workloads and real-world challenges.

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DATA STORAGE

Spending on Compute and Storage Infrastructure Grew Strongly Across Cloud and Non-Cloud IT Environments in the First Quarter of 2022, According to IDC

IDC | July 01, 2022

According to the International Data Corporation (IDC) Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment, spending on compute and storage infrastructure products for cloud deployments, including dedicated and shared environments, increased 17.2% year over year in the first quarter of 2022 (1Q22) to $18.3 billion. This growth continues a series of strong year-over-year increases in spending on infrastructure products by both service providers and enterprises despite tight supply of some system components and disruptions in transportation networks. Investments in non-cloud infrastructure increased 9.8% year over year in 1Q22 to $14.8 billion, continuing a streak of growth for this segment into its fifth quarter. Spending on shared cloud infrastructure reached $12.5 billion in the quarter, increasing 15.7% compared to a year ago. IDC expects to see continuously strong demand for shared cloud infrastructure with spending expected to surpass non-cloud infrastructure spending in 2022 for the first time. Spending on dedicated cloud infrastructure increased 20.5% year over year in 1Q22 to $5.9 billion. Of the total dedicated cloud infrastructure, 47.8% was deployed on customer premises. For the full year 2022, IDC is forecasting cloud infrastructure spending to grow 22% compared to 2021 to $90.2 billion – the highest annual growth rate since 2018 – while non-cloud infrastructure is expected to grow 1.8% to $60.7 billion. The increased forecast for both segments is partially driven by inflationary pressure and expectations of higher systems prices during 2022 as well as improvements in the supply chain in the second half of the year. Shared cloud infrastructure is expected to grow by 24.3% year over year to $63.9 billion for the full year. Spending on dedicated cloud infrastructure is expected to grow 16.8% to $26.3 billion for the full year. As part of the Tracker, IDC follows various categories of service providers and how much compute and storage infrastructure these service providers purchase, including both cloud and non-cloud infrastructure. The service provider category includes cloud service providers, digital service providers, communications service providers, and managed service providers. In 1Q22, service providers as a group spent $18.3 billion on compute and storage infrastructure, up 14.5% from 1Q21. This spending accounted for 55.3% of total compute and storage infrastructure spending. Spending by non-service providers increased 12.9% year over year, the highest growth in fourteen quarters. IDC expects compute and storage spending by service providers to reach $89.1 billion in 2022, growing 18.7% year over year. At the regional level, year-over-year spending on cloud infrastructure in 1Q22 increased in most regions. Once again Asia/Pacific (excluding Japan and China) (APeJC) grew the most at 50.1% year over year. Japan, Middle East and Africa, China, and the United States all saw double-digit growth in spending. Western Europe grew 6.4% and growth in Canada slowed to 1.2%. Central & Eastern Europe, affected by the war between Russia and Ukraine, declined 10.3%, while Latin America declined 11.3%. For 2022, cloud infrastructure spending for most regions is expected to grow, with four regions, APeJC, China, the U.S., and Western Europe, expecting to post annual growth in the 20-25% range. Impact of the war will continue to hurt spending in Central and Eastern Europe, which is now expected to decline 54.6% in 2022. Long term, IDC expects spending on compute and storage cloud infrastructure to have a compound annual growth rate (CAGR) of 14.5% over the 2021-2026 forecast period, reaching $145.2 billion in 2026 and accounting for 69.7% of total compute and storage infrastructure spend. Shared cloud infrastructure will account for 72.6% of the total cloud amount, growing at a 15.4% CAGR. Spending on dedicated cloud infrastructure will grow at a CAGR of 12.1%. Spending on non-cloud infrastructure will grow at 1.2% CAGR, reaching $63.1 billion in 2026. Spending by service providers on compute and storage infrastructure is expected to grow at a 13.4% CAGR, reaching $140.8 billion in 2026. A graphic illustrating IDC's 2021-2026 forecast for worldwide enterprise infrastructure spending by deployment type (Shared Cloud, Dedicated Cloud, and Non-Cloud) is available by viewing this press release on IDC.com. IDC's Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment is designed to provide clients with a better understanding of what portion of the compute and storage hardware markets are being deployed in cloud environments. The Tracker breaks out each vendors' revenue into shared and dedicated cloud environments for historical data and provides a five-year forecast. This Tracker is part of the Worldwide Quarterly Enterprise Infrastructure Tracker, which provides a holistic total addressable market view of the four key enabling infrastructure technologies for the datacenter (servers, external enterprise storage systems, and purpose-built appliances: HCI and PBBA). Taxonomy Notes IDC defines cloud services more formally through a checklist of key attributes that an offering must manifest to end users of the service. Shared cloud services are shared among unrelated enterprises and consumers; open to a largely unrestricted universe of potential users; and designed for a market, not a single enterprise. The shared cloud market includes a variety of services designed to extend or, in some cases, replace IT infrastructure deployed in corporate datacenters; these services in total are called public cloud services. The shared cloud market also includes digital services such as media/content distribution, sharing and search, social media, and e-commerce. Dedicated cloud services are shared within a single enterprise or an extended enterprise with restrictions on access and level of resource dedication and defined/controlled by the enterprise (and beyond the control available in public cloud offerings); can be onsite or offsite; and can be managed by a third-party or in-house staff. In dedicated cloud that is managed by in-house staff, "vendors (cloud service providers)" are equivalent to the IT departments/shared service departments within enterprises/groups. In this utilization model, where standardized services are jointly used within the enterprise/group, business departments, offices, and employees are the "service users." About IDC Trackers IDC Tracker products provide accurate and timely market size, vendor share, and forecasts for hundreds of technology markets from more than 100 countries around the globe. Using proprietary tools and research processes, IDC's Trackers are updated on a semiannual, quarterly, and monthly basis. Tracker results are delivered to clients in user-friendly Excel deliverables and on-line query tools. About IDC International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology, IT benchmarking and sourcing, and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly owned subsidiary of International Data Group (IDG), the world's leading tech media, data, and marketing services company.

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APPLICATION INFRASTRUCTURE

Vodafone and Oracle Collaborate to Speed Up Technology Modernization

Vodafone | June 22, 2022

In order to modernize the operator's European IT infrastructure and hasten its shift to the cloud, Oracle and Vodafone, the largest pan-European and African technological communications firm, established a strategic alliance. A major portion of Vodafone's systems will be updated and moved to OCI Dedicated Region, a fully managed cloud region that integrates all of Oracle's public cloud services into Vodafone's own network and data centers, as part of the multi-year arrangement. As a result, in addition to updating its tens of thousands of Oracle databases, Vodafone will be able to support and extend its mission-critical OSS and BSS services, such as CRM and order management, on a dedicated cloud platform. Vodafone will be able to develop new cloud-based applications more quickly thanks to the deployment, and by utilizing its geographic reach, it will be able to simultaneously launch them in a number of markets. In Vodafone's primary data centers, which oversee its European IT and network operations, Oracle will implement OCI Dedicated Region. As a result, Vodafone will be able to more easily meet the latency and performance requirements of these applications by deploying public cloud services inside of its own network and data centers. In addition, this will allow the operator to modernize, manage, and automate its critical systems using new technologies like autonomous services. "As Vodafone focuses on growth, data is key to how we evolve our business, build new capabilities and innovate to meet the needs of our customers. Our collaboration with Oracle supports our vision of becoming a technology communications company. The agreement enables Oracle to bring its entire portfolio of cloud services directly into Vodafone data centers. This includes the same architecture, software, services and control plane used in OCI public cloud. The flexibility offered by OCI enables us to build a robust, secure, and extensible cloud platform in our own data centers, while also providing the operational agility and scalability required to support the growth and diversification of our business." Scott Petty, Chief Digital & IT Officer, Vodafone The collaboration backs Vodafone's multi-year commitment to streamline and update the IT infrastructure that underpins its mission-critical systems into a common, on-premises, open-standard platform ready to support and scale next-generation digital services. Additionally, it will assist Vodafone in achieving its Tech 2025 objectives, which include speeding up the time it takes to market new services, delivering standout client experiences through always-on services, and cutting operating costs through automation. "Now more than ever, telecom companies need to quickly adopt new technologies to deliver new innovative products at speed while continuing to meet evolving regulatory requirements. Our partnership with Vodafone is based on achieving this balance, providing a cloud platform that enables Vodafone to modernize and consolidate its existing infrastructure while also building a foundation for a digital future. We are looking forward to partnering with one of the telecom sector's digital trailblazers as we help shape the next generation of communication services and business models," said Jonathan Tikochinsky, executive vice president, global strategic clients, Oracle.

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HYPER-CONVERGED INFRASTRUCTURE

Inspur Announces MLPerf v2.0 Results for AI Servers

Inspur | July 04, 2022

The open engineering consortium MLCommons released the latest MLPerf Training v2.0 results, with Inspur AI servers leading in closed division single-node performance. MLPerf is the world’s most influential benchmark for AI performance. It is managed by MLCommons, with members from more than 50 global leading AI companies and top academic institutions, including Inspur Information, Google, Facebook, NVIDIA, Intel, Harvard University, Stanford University, and the University of California, Berkeley. MLPerf AI Training benchmarks are held twice a year to track improvements in computing performance and provide authoritative data guidance for users. The latest MLPerf Training v2.0 attracted 21 global manufacturers and research institutions, including Inspur Information, Google, NVIDIA, Baidu, Intel-Habana, and Graphcore. There were 264 submissions, a 50% increase over the previous round. The eight AI benchmarks cover current mainstream usage AI scenarios, including image classification with ResNet, medical image segmentation with 3D U-Net, light-weight object detection with RetinaNet, heavy-weight object detection with Mask R-CNN, speech recognition with RNN-T, natural language processing with BERT, recommendation with DLRM, and reinforcement learning with MiniGo. Among the closed division benchmarks for single-node systems, Inspur Information with its high-end AI servers was the top performer in natural language processing with BERT, recommendation with DLRM, and speech recognition with RNN-T. It won the most titles among single-node system submitters. For mainstream high-end AI servers equipped with eight NVIDIA A100 Tensor Core GPUs, Inspur Information AI servers were top ranked in five tasks (BERT, DLRM, RNN-T, ResNet and Mask R-CNN). Continuing to lead in AI computing performance Inspur AI servers continue to achieve AI performance breakthroughs through comprehensive software and hardware optimization. Compared to the MLPerf v0.5 results in 2018, Inspur AI servers showed significant performance improvements of up to 789% for typical 8-GPU server models. The leading performance of Inspur AI servers in MLPerf is a result of its outstanding design innovation and full-stack optimization capabilities for AI. Focusing on the bottleneck of intensive I/O transmission in AI training, the PCIe retimer-free design of Inspur AI servers allows for high-speed interconnection between CPUs and GPUs for reduced communication delays. For high-load, multi-GPU collaborative task scheduling, data transmission between NUMA nodes and GPUs is optimized to ensure that data I/O in training tasks is at the highest performance state. In terms of heat dissipation, Inspur Information takes the lead in deploying eight 500W high-end NVIDIA Tensor Core A100 GPUs in a 4U space, and supports air cooling and liquid cooling. Meanwhile, Inspur AI servers continue to optimize pre-training data processing performance, and adopt combined optimization strategies such as hyperparameter and NCCL parameter, as well as the many enhancements provided by the NVIDIA AI software stack, to maximize AI model training performance. Greatly improving Transformer training performance Pre-trained massive models based on the Transformer neural network architecture have led to the development of a new generation of AI algorithms. The BERT model in the MLPerf benchmarks is based on the Transformer architecture. Transformer’s concise and stackable architecture makes the training of massive models with huge parameters possible. This has led to a huge improvement in large model algorithms, but necessitates higher requirements for processing performance, communication interconnection, I/O performance, parallel extensions, topology and heat dissipation for AI systems. In the BERT benchmark, Inspur AI servers further improved BERT training performance by using methods including optimizing data preprocessing, improving dense parameter communication between NVIDIA GPUs and automatic optimization of hyperparameters, etc. Inspur Information AI servers can complete BERT model training of approximately 330 million parameters in just 15.869 minutes using 2,850,176 pieces of data from the Wikipedia data set, a performance improvement of 309% compared to the top performance of 49.01 minutes in Training v0.7. To this point, Inspur AI servers have won the MLPerf Training BERT benchmark for the third consecutive time. Inspur Information’s two AI servers with top scores in MLPerf Training v2.0 are NF5488A5 and NF5688M6. The NF5488A5 is one of the first servers in the world to support eight NVIDIA A100 Tensor Core GPUs with NVIDIA NVLink technology and two AMD Milan CPUs in a 4U space. It supports both liquid cooling and air cooling. It has won a total of 40 MLPerf titles. NF5688M6 is a scalable AI server designed for large-scale data center optimization. It supports eight NVIDIA A100 Tensor Core GPUs and two Intel Ice Lake CPUs, up to 13 PCIe Gen4 IO, and has won a total of 25 MLPerf titles. About Inspur Information Inspur Information is a leading provider of data center infrastructure, cloud computing, and AI solutions. It is the world’s 2nd largest server manufacturer. Through engineering and innovation, Inspur Information delivers cutting-edge computing hardware design and extensive product offerings to address important technology sectors such as open computing, cloud data center, AI, and deep learning. Performance-optimized and purpose-built, our world-class solutions empower customers to tackle specific workloads and real-world challenges.

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DATA STORAGE

Spending on Compute and Storage Infrastructure Grew Strongly Across Cloud and Non-Cloud IT Environments in the First Quarter of 2022, According to IDC

IDC | July 01, 2022

According to the International Data Corporation (IDC) Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment, spending on compute and storage infrastructure products for cloud deployments, including dedicated and shared environments, increased 17.2% year over year in the first quarter of 2022 (1Q22) to $18.3 billion. This growth continues a series of strong year-over-year increases in spending on infrastructure products by both service providers and enterprises despite tight supply of some system components and disruptions in transportation networks. Investments in non-cloud infrastructure increased 9.8% year over year in 1Q22 to $14.8 billion, continuing a streak of growth for this segment into its fifth quarter. Spending on shared cloud infrastructure reached $12.5 billion in the quarter, increasing 15.7% compared to a year ago. IDC expects to see continuously strong demand for shared cloud infrastructure with spending expected to surpass non-cloud infrastructure spending in 2022 for the first time. Spending on dedicated cloud infrastructure increased 20.5% year over year in 1Q22 to $5.9 billion. Of the total dedicated cloud infrastructure, 47.8% was deployed on customer premises. For the full year 2022, IDC is forecasting cloud infrastructure spending to grow 22% compared to 2021 to $90.2 billion – the highest annual growth rate since 2018 – while non-cloud infrastructure is expected to grow 1.8% to $60.7 billion. The increased forecast for both segments is partially driven by inflationary pressure and expectations of higher systems prices during 2022 as well as improvements in the supply chain in the second half of the year. Shared cloud infrastructure is expected to grow by 24.3% year over year to $63.9 billion for the full year. Spending on dedicated cloud infrastructure is expected to grow 16.8% to $26.3 billion for the full year. As part of the Tracker, IDC follows various categories of service providers and how much compute and storage infrastructure these service providers purchase, including both cloud and non-cloud infrastructure. The service provider category includes cloud service providers, digital service providers, communications service providers, and managed service providers. In 1Q22, service providers as a group spent $18.3 billion on compute and storage infrastructure, up 14.5% from 1Q21. This spending accounted for 55.3% of total compute and storage infrastructure spending. Spending by non-service providers increased 12.9% year over year, the highest growth in fourteen quarters. IDC expects compute and storage spending by service providers to reach $89.1 billion in 2022, growing 18.7% year over year. At the regional level, year-over-year spending on cloud infrastructure in 1Q22 increased in most regions. Once again Asia/Pacific (excluding Japan and China) (APeJC) grew the most at 50.1% year over year. Japan, Middle East and Africa, China, and the United States all saw double-digit growth in spending. Western Europe grew 6.4% and growth in Canada slowed to 1.2%. Central & Eastern Europe, affected by the war between Russia and Ukraine, declined 10.3%, while Latin America declined 11.3%. For 2022, cloud infrastructure spending for most regions is expected to grow, with four regions, APeJC, China, the U.S., and Western Europe, expecting to post annual growth in the 20-25% range. Impact of the war will continue to hurt spending in Central and Eastern Europe, which is now expected to decline 54.6% in 2022. Long term, IDC expects spending on compute and storage cloud infrastructure to have a compound annual growth rate (CAGR) of 14.5% over the 2021-2026 forecast period, reaching $145.2 billion in 2026 and accounting for 69.7% of total compute and storage infrastructure spend. Shared cloud infrastructure will account for 72.6% of the total cloud amount, growing at a 15.4% CAGR. Spending on dedicated cloud infrastructure will grow at a CAGR of 12.1%. Spending on non-cloud infrastructure will grow at 1.2% CAGR, reaching $63.1 billion in 2026. Spending by service providers on compute and storage infrastructure is expected to grow at a 13.4% CAGR, reaching $140.8 billion in 2026. A graphic illustrating IDC's 2021-2026 forecast for worldwide enterprise infrastructure spending by deployment type (Shared Cloud, Dedicated Cloud, and Non-Cloud) is available by viewing this press release on IDC.com. IDC's Worldwide Quarterly Enterprise Infrastructure Tracker: Buyer and Cloud Deployment is designed to provide clients with a better understanding of what portion of the compute and storage hardware markets are being deployed in cloud environments. The Tracker breaks out each vendors' revenue into shared and dedicated cloud environments for historical data and provides a five-year forecast. This Tracker is part of the Worldwide Quarterly Enterprise Infrastructure Tracker, which provides a holistic total addressable market view of the four key enabling infrastructure technologies for the datacenter (servers, external enterprise storage systems, and purpose-built appliances: HCI and PBBA). Taxonomy Notes IDC defines cloud services more formally through a checklist of key attributes that an offering must manifest to end users of the service. Shared cloud services are shared among unrelated enterprises and consumers; open to a largely unrestricted universe of potential users; and designed for a market, not a single enterprise. The shared cloud market includes a variety of services designed to extend or, in some cases, replace IT infrastructure deployed in corporate datacenters; these services in total are called public cloud services. The shared cloud market also includes digital services such as media/content distribution, sharing and search, social media, and e-commerce. Dedicated cloud services are shared within a single enterprise or an extended enterprise with restrictions on access and level of resource dedication and defined/controlled by the enterprise (and beyond the control available in public cloud offerings); can be onsite or offsite; and can be managed by a third-party or in-house staff. In dedicated cloud that is managed by in-house staff, "vendors (cloud service providers)" are equivalent to the IT departments/shared service departments within enterprises/groups. In this utilization model, where standardized services are jointly used within the enterprise/group, business departments, offices, and employees are the "service users." About IDC Trackers IDC Tracker products provide accurate and timely market size, vendor share, and forecasts for hundreds of technology markets from more than 100 countries around the globe. Using proprietary tools and research processes, IDC's Trackers are updated on a semiannual, quarterly, and monthly basis. Tracker results are delivered to clients in user-friendly Excel deliverables and on-line query tools. About IDC International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. With more than 1,300 analysts worldwide, IDC offers global, regional, and local expertise on technology, IT benchmarking and sourcing, and industry opportunities and trends in over 110 countries. IDC's analysis and insight helps IT professionals, business executives, and the investment community to make fact-based technology decisions and to achieve their key business objectives. Founded in 1964, IDC is a wholly owned subsidiary of International Data Group (IDG), the world's leading tech media, data, and marketing services company.

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APPLICATION INFRASTRUCTURE

Vodafone and Oracle Collaborate to Speed Up Technology Modernization

Vodafone | June 22, 2022

In order to modernize the operator's European IT infrastructure and hasten its shift to the cloud, Oracle and Vodafone, the largest pan-European and African technological communications firm, established a strategic alliance. A major portion of Vodafone's systems will be updated and moved to OCI Dedicated Region, a fully managed cloud region that integrates all of Oracle's public cloud services into Vodafone's own network and data centers, as part of the multi-year arrangement. As a result, in addition to updating its tens of thousands of Oracle databases, Vodafone will be able to support and extend its mission-critical OSS and BSS services, such as CRM and order management, on a dedicated cloud platform. Vodafone will be able to develop new cloud-based applications more quickly thanks to the deployment, and by utilizing its geographic reach, it will be able to simultaneously launch them in a number of markets. In Vodafone's primary data centers, which oversee its European IT and network operations, Oracle will implement OCI Dedicated Region. As a result, Vodafone will be able to more easily meet the latency and performance requirements of these applications by deploying public cloud services inside of its own network and data centers. In addition, this will allow the operator to modernize, manage, and automate its critical systems using new technologies like autonomous services. "As Vodafone focuses on growth, data is key to how we evolve our business, build new capabilities and innovate to meet the needs of our customers. Our collaboration with Oracle supports our vision of becoming a technology communications company. The agreement enables Oracle to bring its entire portfolio of cloud services directly into Vodafone data centers. This includes the same architecture, software, services and control plane used in OCI public cloud. The flexibility offered by OCI enables us to build a robust, secure, and extensible cloud platform in our own data centers, while also providing the operational agility and scalability required to support the growth and diversification of our business." Scott Petty, Chief Digital & IT Officer, Vodafone The collaboration backs Vodafone's multi-year commitment to streamline and update the IT infrastructure that underpins its mission-critical systems into a common, on-premises, open-standard platform ready to support and scale next-generation digital services. Additionally, it will assist Vodafone in achieving its Tech 2025 objectives, which include speeding up the time it takes to market new services, delivering standout client experiences through always-on services, and cutting operating costs through automation. "Now more than ever, telecom companies need to quickly adopt new technologies to deliver new innovative products at speed while continuing to meet evolving regulatory requirements. Our partnership with Vodafone is based on achieving this balance, providing a cloud platform that enables Vodafone to modernize and consolidate its existing infrastructure while also building a foundation for a digital future. We are looking forward to partnering with one of the telecom sector's digital trailblazers as we help shape the next generation of communication services and business models," said Jonathan Tikochinsky, executive vice president, global strategic clients, Oracle.

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