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Where the Buzz About Quantum Computing Is Wrong – Toolbox

A lot of bold claims have been written about the recent emergence of quantum computing. It will revolutionize computing. It will break cryptography and the encryption that protects the worlds data. It will enable the true rise of artificial intelligence as a force in the world.

While each of these assertions hint at some truth about the rise of quantum computers, theres also a fair amount of hype going around. Quantum computing will change the world, but not all the predictions are factually accurate.

So lets start with the basics of quantum computing.

Quantum computing is different than traditional computing because it escapes the binary foundation of the computer. Instead of yes or no, the 0s and 1s that form the foundation of current computer logic, theres also maybe. These intermediate states occur because quantum computers take advantage of the quirky behavior of quantum phenomena.

This new model will alter the computing landscape and open the door for solving some problems faster than traditional computers. Prediction is far more efficient when there are intermediate states compared with the black and white logic of yes or no. But this development will not change everything. It just will change some things. And it probably wont be making a big splash just yet.

So lets look at three places where the hype is not in touch with reality when it comes to quantum computers today.

The most over-hyped aspect of quantum computing is the possible near-term algorithms because we do not know which if any will work on devices within the next three to five years, and which can be run efficiently on current digital computers, says Dr. Joel Wallman, assistant professor of applied mathematics at the Institute for Quantum Computing at the University of Waterloo.

This paucity of appropriate code, much of which must be developed from the ground up, is just one hurdle that quantum computers must overcome before they are ready for widespread commercial use.

Googles recent 53-qubit demonstration [of quantum computing] is akin to the Wright brothers first flights at Kitty Hawk, says William Oliver, an MIT associate professor who teaches the universitys xPRO course on quantum computing. Their plane, the Wright Flyer, was not the first to fly. It didnt solve any pressing transportation problem. Nor did it herald widespread adoption commercial aviation would only gradually emerge over the next few decades.

What the Wright Flyer did and what the quantum computers are doing now are simply proofs of concept.

Oliver notes that the transistor was invented in 1947, but it was 25 years before the world had the Intel 4004 4-bit processor. It was another 25 years before the world got to the Pentium Pro with 1M transistors, and then another 20 years before the multi-core processors and GPUs with billions of transistors.

Quantum computers are nascent, he says. To realize their promise, we will need to build robust, reproducible machines and develop the algorithms to use them. Engineering and technology development take time.

Theres a real chance that quantum computers will challenge current cryptography someday, rendering todays encryption obsolete. This is a known problem that cybersecurity professionals face, just as the Y2K Millennium Bug was a real problem that required a fix back in 1999.

Right now quantum computing technology is nowhere near ready for this code-breaking, however. The world has time for developing the next generation of security technology before current encryption methods stop working.

The reality is that to break todays encryption requires a large-scale and fault tolerant quantum computer, and we arent there yet, says Tim Zanni, US technology sector leader for KPMG. Therefore, were unlikely to see a quantum computing-driven security breach in the near future.

It is important to understand that quantum computers will not replace classical computers, says Dr. Bob Sutor, vice president for IBMs quantum computing Q ecosystem development at IBM Research. Quantum computers fundamental properties complement the traditional systems.

Thats because the strength of quantum computers, having intermediate states somewhere between yes and no, can help the enterprise solve some forms of intractable classical problems that blow up or become extremely time-consuming with traditional computers, but they are not efficient for many of todays other computing processes. The 0s and 1s of todays computers are just fine for many computing applications, and theres no need to completely replace traditional computers with quantum computers even if that were feasible.

Quantum computers therefore most likely will be a subset of the full computing landscape, just like there are processors built for graphics or AI but also other types of processors in use.

This means that a generation of computer science students also will need to learn how to use and code quantum computers for the coming emergence of the technology.

From computer science courses to chemistry and business classes, students should be getting quantum ready, says Sutor.

Quantum computing is real, and it will have an impact on the world. But were not there yet, and everything isnt going to change once quantum computers do reach the point of commercial viability. The emergence of quantum computers is more like the slow emergence of commercial aviation.

The rise of flight did not mark the beginning of the end for other modes of transportation 90 percent of commercial shipping is still done today by ships, notes Oliver at MIT. Rather, the events at Kitty Hawk are remembered for having demonstrated a new operational regime, the first self-propelled flight of a heavier-than-air aircraft.

Its what the flight represented, in other words, not what it practically accomplished. And so it is with this first demonstration of quantum computing.

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New report: Quantum Computing Market Size position and size report for 2019 to 2023 recently published – Instant Tech News

Quantum Computing Market research now available at Brand Essence Research encompasses an exhaustive Study of this business space with regards to pivotal industry drivers, market share analysis, and the latest trends characterizing the Quantum Computing industry landscape. This report also covers details of market size, growth spectrum, and the competitive scenario of Quantum Computing market in the forecast timeline.

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Web Established Key players in the market are:

D-Wave Systems Inc., Qxbranch, LLC, International Business Machines Corporation (IBM), Cambridge Quantum Computing Ltd, 1qb Information Technologies Inc., QC Ware Corp., Magiq Technologies Inc., Station Q Microsoft Corporation, Rigetti Computing, Research at Google Google Inc.

Presenting an inherent outline of the competitive and geographical frames of reference pertaining to the Quantum Computing market:

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Market segment by Type, the product can be split into

Type II-A, Type II

Market segment by Application, split into

Simulation, Optimization, Sampling

Market segment by Regions/Countries, this report covers

United States

Europe

China

Japan

Southeast Asia

India

Central & South America

The geographical spectrum of the business and its consequence on the Quantum Computing market:

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New report: Quantum Computing Market Size position and size report for 2019 to 2023 recently published - Instant Tech News

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Quantum Computing Technologies Market: Industry Players Analysis, New Innovation, Growth Prospects, Size, Growth, Revenue, Development Policy,…

The Quantum Computing Technologies Market report provides an analysis of Quantum Computing Technologies Industry share, development policy, size, growth, trends, regional outlook and 2026 forecast analysis. It also highlights the drivers, restraints, and opportunities of the market during the said period. The study provides a complete perspective on the evolution of the global Quantum Computing Technologies market throughout the above mentioned forecast period in terms of revenue (US$ Bn)

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The Quantum Computing Technologies Market report comprises a detailed value chain analysis, which provides a comprehensive view of the global market. The Porters Five Forces model for the market has also been included to help understand the competitive landscape in the Quantum Computing Technologies market.

The report also highlights opportunities and future scope in the Quantum Computing Technologies market at the global and regional level. The study encompasses market attractiveness analysis, wherein the service is benchmarked based on market size, growth rate, and general Quantum Computing Technologies industry share.

The key players covered in this study

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The study includes profiles of major companies operating in the global Quantum Computing Technologies market. Market players have been profiled in terms of attributes such as company overview, financial overview, business strategies, and recent developments.

Regional analysis is another highly comprehensive part of the research and analysis study of the global Quantum Computing Technologies market presented in the report. This section sheds light on the sales growth of different regional and country-level Quantum Computing Technologies markets.

The key regions and countries covered in this report are:

Market segment by Type, the product can be split intoSoftwareHardware

Market segment by Application, split intoGovernmentBusinessHigh-TechBanking & SecuritiesManufacturing & LogisticsInsuranceOther

In order to compile the Quantum Computing Technologies market research report, we conducted in-depth interviews and discussions with a number of key industry participants and opinion leaders.

We reviewed key players product literature, annual reports, press releases, and relevant documents for competitive analysis and Quantum Computing Technologies market understanding. Secondary research also includes a search of recent trade, technical writing, internet sources, statistics data from government websites, trade associations, and agencies.

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Quantum Computing Technologies Market Key Stakeholders:

Key Points from Table of Content:

1 Quantum Computing Technologies Market Overview

2 Global Quantum Computing Technologies Market Competition by Manufacturers

3 Global Quantum Computing Technologies Capacity, Production, Revenue (Value) by Region (2015-2020)

4 Global Quantum Computing Technologies Supply (Production), Consumption, Export, Import by Region (2015-2020)

5 Global Quantum Computing Technologies Production, Revenue (Value), Price Trend by Type

6 Global Quantum Computing Technologies Market Analysis by Application

7 Global Quantum Computing Technologies Manufacturers Profiles/Analysis

8 Quantum Computing Technologies Manufacturing Cost Analysis

9 Quantum Computing Technologies Industrial Chain, Sourcing Strategy and Downstream Buyers

10 Quantum Computing Technologies Marketing Strategy Analysis, Distributors/Traders

11 Quantum Computing Technologies Market Effect Factors Analysis

12 Global Quantum Computing Technologies Market Forecast (2020-2026)

13 Quantum Computing Technologies Market Research Findings and Conclusion

14 Appendix

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Global Deep Learning Chip Market (2019 to 2027) – Drivers, Restraints, Opportunities and Trends – ResearchAndMarkets.com – Business Wire

DUBLIN--(BUSINESS WIRE)--The "Deep Learning Chip Market to 2027 - Global Analysis and Forecasts By Chip Type; Technology; Industry Vertical" report has been added to ResearchAndMarkets.com's offering.

The global deep learning chip market accounted for US$ 2.04 Bn in 2018 and is expected to grow at a CAGR of 30.0% over the forecast period 2019-2027, to account for US$ 21.31 Bn in 2027.

The increasing investments in deep learning chip start-ups, prominence of quantum computing, and real time consumer behavior insights & increased operational efficiency are few of the factors driving the deep learning chip market worldwide. However, lack of infrastructure & technology know-how in third world countries and dearth of skilled workforce may restrain the future growth of market. Despite these limitations, rising adoption of cloud-based computing across industries is anticipated to offer ample growth opportunities for the players operating in the deep learning chip market during the forecast period.

The market for deep learning chip has been segmented on the basis of chip type, technology, industry vertical, and geography. The deep learning chip market based on chip type is led by GPU segment and is expected to continue its dominance in the forecast period. The deep learning chip market on the basis of technology is segmented into system-on-chip, system-in-package, multi-chip module, others.

The System-on-Chip technology led the deep learning chip market and it is anticipated to continue its dominance during the forecast period. The market for deep learning chip by industry vertical is further segmented into media & advertising, BFSI, it & telecom, retail, healthcare, automotive & transportation, and others. The BFSI sector is expected to hold the lion's share in the year 2018 and is expected to continue its dominance till 2027.

Reasons to Buy

Key Topics Covered:

1. Introduction

2. Key Takeaways

3. Research Methodology

4. Deep Learning Chip Market Landscape

4.1 Market Overview

4.2 PEST Analysis

4.3 Ecosystem Analysis

4.4 Expert Opinions

5. Deep Learning Chip Market - Global Market Analysis

5.1 Global Deep Learning Chip Market Overview

5.2 Global Deep Learning Chip Market Forecast and Analysis

5.3 Market Positioning- Top Five Players

6. Deep Learning Chip market - Key Industry Dynamics

6.1 Key Market Drivers

6.1.1 Increasing investments in deep learning chip start-ups

6.1.2 Prominence of Quantum Computing

6.1.3 Real time consumer behaviour insights and increased operational efficiency

6.2 Key Market Restraints

6.2.1 Dearth of skilled workforce

6.2.2 Lack of infrastructure and technology know-how in third world countries

6.3 Key Market Opportunities

6.3.1 Rising adoption of cloud-based computing across industries

6.3.2 Adoption of deep learning chips in edge devices is expected to boom in the forecast period

6.4 Future Trends

6.4.1 ASICs and application-specific custom/hybrid deep learning chips will be the future of deep learning chip market

6.5 impact analysis of Drivers and restraints

7. Deep Learning Chip Market Analysis - By Chip Type

7.1 Overview

7.2 Deep Learning Chip Market Breakdown, By Chip Type, 2018 & 2027

7.3 GPU

7.4 ASIC

7.5 FPGA

7.6 CPU

7.7 Others

8. Deep Learning Chip Revenue and Forecasts to 2027 - Technology

8.1 Overview

8.2 Deep Learning Chip Market Breakdown, By Technology, 2018 & 2027

8.3 System-on-Chip

8.4 System-in-Package

8.5 Multi-Chip Module

8.6 Others

9. Deep Learning Chip Market Analysis - By Industry Vertical

9.1 Overview

9.2 Deep Learning Chip Market Breakdown, By Industry Vertical, 2018 & 2027

9.3 Media & Advertising

9.4 BFSI

9.5 IT & Telecom

9.6 Retail

9.7 Healthcare

9.8 Automotive & Transportation

9.9 Others

10. Deep Learning Chip Market - Geographic Analysis

10.1 Overview

10.2 North America Deep learning chip Market Revenue and Forecast to 2027

10.3 Europe Deep Learning Chip Market Revenue and Forecast to 2027

10.4 APAC Deep Learning Chip Market Revenue and Forecasts to 2027

10.5 Middle East and Africa Deep Learning Chip Market Revenue and Forecasts to 2027

10.6 South America Deep Learning Chip Market Revenue and Forecasts to 2027

11. Industry Landscape

11.1 Overview

11.2 Market Initiative

11.3 Merger and Acquisition

11.4 New Development

12. Deep Learning Chip Market - Company Profiles

12.1 Advanced Micro Devices, Inc.

12.1.1 Key Facts

12.1.2 Business Description

12.1.3 Products and Services

12.1.4 Financial Overview

12.1.5 SWOT Analysis

12.1.6 Key Developments

12.2 Alphabet Inc. (Google)

12.3 Amazon.com, Inc.

12.4 Baidu, Inc.

12.5 Huawei Technologies Co., Ltd.

12.6 Intel Corporation

12.7 NVIDIA Corporation

12.8 Qualcomm Incorporated

12.9 Samsung electronics Co., Ltd.

12.10 Xilinx, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/oe4ufz

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Dell at the Edge: Servers, Data Centers and Software for Deployment Anywhere – EnterpriseAI

Dell Technologies launched servers, a modular data center, telemetry management and streaming analytics software this week designed for the growing volumes of enterprise-generated data created and processed outside of data centers and the cloud at the edge.

Dell has long touted its integrated edge-core-cloud strategy, with the ultimate goal of supporting a future in which data emanates from virtually any object (Gartner: within two years, more than half of enterprise-generated data will be created and processed at the edge), is processed and produces analytics insights in near time. The AI Everywhere future will be enabled by the holy trinity of high performance computing, high speed networks and rapid machine learning.

The challenges in achieving all this are many, particularly at the edge, whose demanding characteristics include high bandwidth, IT and security skills, space constraints, extreme weather, efficient power consumption and low latency, with the overriding need to deploy applications and infrastructure close to the point of data creation.

Dell EMC PowerEdge XE2420

With its announcement this week, Dell one among many companies building out technologies to support this vision showed how its approach is taking form.

Leading its new edge products and available starting next month, the Dell EMC PowerEdge XE2420 is a dense, short depth, high-performance server designed for space-constrained and challenging operating conditions, the company said. Capable of supporting 5G implementations, its a two-socket system with capacity for up to four accelerators and 92TB of storage, and it has a ruggedized, Network Equipment-Building System certification with extended temperature tolerance and a filtered bezel for dusty locations, according to the company.

Dell EMC Modular Data Center Micro 415

The Dell EMC Modular Data Center Micro 415 is shorter and narrower than a parking spot, Dell said, and offers pre-integrated, enterprise-level data center IT, power, cooling and remote management. Available in the second half of this year, the company said complete details on the product are not yet available. Conceptually, the MDC Micro is designed for non-data center locations, such as the base of a telecommunications cell tower, Dell said, and provides enhanced physical protection for IT equipment at the edge with extreme temperature-resistant enclosures, key lock doors and option for smoke detection and fire suppression. Its enclosure supports up to 17U of compute and storage, it can operate in temperatures ranging from -40C to 55C, is compatible with short-depth and standard servers and utilizes integrated closed-loop cooling for environmental control.

Available now, the Dell EMC iDRAC9 Data Center software is intended to provide remote access for a consistent, more secure server management experience from the edge to the core to the cloud, the company said. Its embedded management technology delivers streaming data analytics for understanding edge operations with up to 20 metric reports providing nearly 2.9 million data points per server, according to Dell, significantly reduce administrator-attended time per server compared to manual deployments. With streaming telemetry on iDRAC9, customers can discover trends, fine tune operations, and create predictive analytics to help ensure peak performance, reduce downtime and prevent risk, Dell said.

source: Dell Technologies

The Dell EMC Streaming Data Platform, for ingestion and analysis of edge streaming data, is designed to simplify infrastructure management and to enable improvements in the data infrastructure. Able to handle streaming and non-streaming data, the platform provides auto-scaling ingestion, tiered storage with historical recall on-demand and unified analytics for both real-time and historical business insights, Dell said.

As we enter the next data decade, the challenge moves from keeping pace with volumes of data to gaining valuable insights from the many types of data and touchpoints across various edge locations to core data centers and public clouds, said Jeff Boudreau, president, Infrastructure Solutions Group, Dell Technologies. We offer a portfolio thats engineered to help customers address the constraints of edge operations and deliver analytics for greater business insights wherever their edge may be.

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Cohesity branches out data management software to ROBO and the edge – Blocks and Files

Cohesity has upgraded its data management software to cover remote office branch office (ROBO) and edge IT sites, in a single environment along with central data centres.

Cohesitys hyperconverged secondary storage platform offers backup, golden master file copies for test and dev, compliance and other data users, archiving, tiering to the cloud and general file and object storage.

Its market sweet spot to date has been hybrid, covering business data centres and the public cloud. Now it is extending from the data centre base to branch offices and data-generating IoT edge locations. The software runs as a virtual appliance or on certified HPE and Cisco servers.

Vineet Abraham, Cohesity SVP for engineering and product management, said in a statement: By offering the enterprise-class features of Cohesity software in a cost-effective, plug-and-play solution, we are empowering organisations to bring their data centre, cloud, and edge together on a single platform.

Cohesity ROBO and edge users get instant mass restores to recover an entire branch when needed. Cohesitys dedupe and compression reduces bandwidth utilisation when sending/receiving data to/from central or cloud sites. Cohesity also suggests its file and object services can replace local Windows file servers.

For Cohesity the edge includes branches of national banks, retailers, chain restaurants, rental car agencies, warehousing and distribution, pharmaceutical, and global IT services. Data from these sites typically need to be managed, protected, and secured locally, without dedicated IT staff to handle on-site administration.

Cohesity cites IDC research that shows more than half of enterprise data will be created and processed outside the data centre or cloud by 2022. According to the company, this underscores the need for a unified approach covering ROBO, the edge, enterprise data centres and public cloud.

Cohesitys ROBO offering will be generally available to customers from Cisco and HPE by Spring 2020.

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Data Center REITs: Battle Of The Clouds – Seeking Alpha

REIT Rankings: Data Centers

In our REIT Rankings series, we introduce and update readers to each of the residential and commercial real estate sectors. We focus on sector-level fundamentals, analyzing supply and demand conditions and macroeconomic factors driving underlying performance. We update these reports quarterly with a breakdown and analysis of the most recent earnings results.

(Hoya Capital, Co-Produced with Brad Thomas through iREIT on Alpha)

Data Centers REITs are the home of the "cloud," the physical epicenter of the internet. Within the Hoya Capital Data Center Index, we track the five largest data center REITs, which account for nearly $100 billion in market value: Equinix (EQIX), Digital Realty (DLR.PK), CyrusOne (CONE), CoreSite (COR), and QTS Realty (QTS). While not included in the index, business storage operator Iron Mountain (IRM) also operates a relatively small portfolio of data centers as well as non-REIT Switch Inc (SWCH).

One of the newer REIT sectors, Data Center REITs have been perennial outperformers since bursting onto the scene in the middle of the last decade, serving as one of the primary growth drivers of the commercial real estate sector. Data Center REITs comprise 4-12% of the broad-based Core REIT ETFs, but comprise roughly a third of the Benchmark Data & Infrastructure Real Estate ETF (SRVR), which also includes cell tower and billboard REITs. SRVR was one of the best-performing real estate ETFs in 2019 - despite its relatively low dividend yield of around 1.5% - driven by the 44% average total returns from these data center REITs, outpacing the 28% total return Core REIT ETF average.

As is common across most real estate sectors, the companies providing the behind-the-scenes infrastructure and real estate are not "household names" compared to their more consumer-facing tenants. The companies synonymous with cloud computing, Amazon (AMZN), Microsoft (MSFT), Google (GOOG), Alibaba (BABA), and IBM (IBM), are among the largest and most important tenants of these data center operators, and have become even more critical tenants in recent years as a growing share of leasing activity has accrued to a smaller handful of tenants. Amazon owns roughly a 32% market share according to Canalys Research, outpacing the 18% share from Microsoft, 6% share from Google, and 5% share from Alibaba.

External growth has been the modus operandi for these companies as Data Center REITs have been relentless developers and acquirers over the last half-decade. Consolidation remains a continuing theme in the data center sector as these data center operators attempt to fend off mounting competitive pressures from their ever-powerful tenants. Data Center REITs own roughly 30% of investment-grade data center facilities in the US and command roughly a fifth of data center capacity globally. Outside of these five REITs, other companies operating in the space include a mix of international, private, and "c-corp" entities, including Zayo Group (ZAYO), Switch (SWCH), Flexential, Cyxtera, TierPoint, and Cologix.

Data center REITs operate in three primary lines of business: wholesale, colocation, and interconnection. The value of each data center is largely a function of its position along the internet backbone, the physical fiber-optic network that links every connected-device across the world. Properties within the backbone, or more precisely at the "intersection" of various networks, are able to provide higher-value network-based colocation and interconnection services, which command higher rent-per-MW and generally have significantly higher barriers to entry due to the inherent "network effects." Properties on the periphery or those lacking a critical mass of interconnection tenants typically provide more ubiquitous enterprise-based wholesale services, including storage and cloud-based software applications and primarily rent these facilities to wholesale customers who pay lower per-SF rent.

The competitive landscape, particularly in the lower-barrier wholesale data center market, is shifting as these hyperscale providers are responsible for a steadily growing share of total leasing activity. These "public cloud" providers continue to build out their enterprise software suite, allowing enterprises to ditch their independent managed servers within the data center facilities and instead operate exclusively through a public cloud. Effectively, more customers are able to forego any direct relationship with these data center operators and contract instead with one of the handful of "public cloud" operators. Digital Realty expects half of all data center servers to be operated by just a half-dozen hyperscale tenants by 2021, up from 25% in 2018.

Responding to the mounting competitive threats posed by "hyperscale" giants - Amazon, Microsoft, and Google - data center operators have turned to M&A to regain some degree of pricing power, with a particular focus on the higher-value interconnection-focused facilities. Digital Realty significantly expanded its interconnection and colocation business through its Interxion acquisition but remains a mostly wholesale-focused entity with roughly two-thirds of revenues coming from that lower-barrier business line. Interconnection, which relies on "network effects," can translate into a competitive advantage owned by REITs that hyperscalers have more difficulty replicating. Equinix has the highest "quality" portfolio of network-dense assets followed by the smaller CoreSite. CyrusOne, QTS, and the majority of non-REIT data center operators focus primarily on more competitive wholesale assets.

Typically housed in windowless industrial-style buildings surrounded by massive generators and cooling equipment, data centers provide the critical infrastructure - power, cooling, and physical rack space - to a variety of enterprise customers with different networking and computing needs, who generally install and manage their own server and computing equipment in the facilities. Housing millions of terabytes of mission-critical data for thousands of individual customers, physical data security and operational reliability are crucial attributes of data center facilities. As noted above, data center REITs have been among the fastest-growing REIT sectors, but are also some of the most "expensive" and the lowest-yielding companies across the REIT space.

As discussed in our REIT Decade in Review, at the real estate sector-level, three themes dominated the 2010s: 1) The Housing Shortage, 2) The Retail Apocalypse, and 3) The Internet Revolution. Producing an annualized rate of return that was more than double that of the broader REIT average from 2015-2019, data center REITs have ridden the thematic growth trends associated with the boom in outsourced IT spending, and have been the third-best performing REIT sector over the past five years, trailing only manufactured housing and cell tower REIT sectors.

Heading into 2019, data center REITs were coming off an uncharacteristically weak year - dipping 14% in 2018 - but produced total returns of 44% in 2019. 2020 has picked off nearly exactly how 2019 left off with the "eREIT" sectors (Data Center, Cell Tower, Industrials) leading the charge yet again. Gaining 10% so far this year, the Hoya Capital Data Center Index has outpaced the 6.5% gains on the broader REIT average. This outperformance comes despite signs of slowing growth in global IT spending and choppy leasing activity from the hyperscale providers that we'll discuss in more detail below.

Network-dense portfolios produced superior performance in 2019, led by Equinix, which surged nearly 70%. Wholesale-heavy REITs including longtime sector stalwart Digital Realty were laggards last year as competition and pricing pressure from hyperscalers remain intense, while Digital Realty was also pressured by a luke-warm reaction to their plans to acquire InterXion - particularly from INXN's shareholders. QTS has been the leader out of the gates so far in 2020 following solid earnings results, while CyrusOne has lagged despite a nearly 8% pop last week after the firm reportedly retained Morgan Stanley after receiving M&A interest. In January, CyrusOne announced plans to cut 12% of their workforce, citing "continued moderation in demand from hyperscale customers."

For all the focus on M&A possibilities, the performance of the data center REIT sector continues to be at the mercy of the quarterly net leasing activity figures - the most closely-watched metric for the sector. Data center leasing activity surged in the first-half of 2018, but dipped sharply into the end of the year, dragging with it the stock prices of these REITs. While still choppy, leasing bounced back nicely in 2019, as have the REIT stock prices, and this past quarter's results were generally in line or slightly better the estimates. The $116 million in net incremental annualized revenues was a 45% jump from 4Q18, bringing the full-year leasing activity among these four REITs to $495 million, down only slightly from the $512 million in 2018.

Solid leasing data was a welcome relief given the continued uncertainty over global IT spending - particularly in the European and Asian markets - and over domestic hyperscale demand. In their most recent forecast in January, Gartner revised lower their 2019 estimates and their 2020 Worldwide IT Spending forecast. Gartner tracked just a 0.5% rise in overall global IT spending, the slowest rate of growth since the recession, but sees a pickup in 2020 to 3.4% growth. The Data Center and Enterprise categories, reflecting the critical drivers of data center spending, are expected to reaccelerate slightly next year after significantly slowing growth in 2019.

Digital Realty and QTS were the relative standouts in 4Q19 with solid beats on leasing figures, combining for $97 million of the $116 million total. CyrusOne and CoreSite, however, fell shy of leasing estimates. From an AFFO standpoint, Digital Realty, Equinix, and CyrusOne all topped prior guidance in the fourth quarter while QTS fell just shy, but the story has been the continued deceleration in AFFO growth - particularly among the wholesale-focused REITs - since the middle of the decade. Escaping the wholesale hyperscale weakness has been Equinix, which led the way with 10% AFFO per share growth in 2020 and expects to see 8% growth in 2020.

While much of the investment community remains hyper-focused on leasing metrics, which we see as volatile and prone to false signals, we remain focused on re-leasing spreads as the key forward-looking indicator of underlying pricing power and on supply/demand conditions as an indicator of any emerging barriers to entry, which we have not yet seen to any significant degree. Digital Realty, which we view as the industry bellwether, reported a 0.6% decline in cash renewal spreads, falling back into negative territory after recording its strongest reading since 4Q15 last quarter. DLR reported a 4% decline in "same capital" NOI growth in 2019, reflecting the continued (and perhaps underappreciated) competitive challenges facing the data center sector, particularly the wholesale/hyperscale business lines.

Overall, while industry average revenues and EBITDA grew roughly 10% in 2019, AFFO per share rose at a more modest 5.5% in 2019, roughly consistent with last year's 5.3% achieved AFFO per share growth rate. 2020 guidance was generally in-line with analyst estimates but call for a continued deceleration in AFFO per share growth to an average of 3.2%. (DLR plans to provide 2020 guidance after the InterXion acquisition.) The interconnection-focused Equinix continues to be the relative standout, while the smaller wholesale-focused REITs continue to see decelerating growth. We expect the trend of interconnection outperformance to continue for the foreseeable future, but will be interested to see whether consolidation will begin to stabilize the downward pressure on same-store pricing on wholesale leasing.

Size and scale have proven to be competitive advantages in the data center space, and these REITs have used acquisitions as a means to stay in front of competitive threats from hyperscale providers. Digital Realty shook the data center landscape last October with its announced $8 billion acquisition of European data center giant Interxion (INXN), the eighth largest operator in the world. The fourth major acquisition for DLR since 2015, the firm acquired Telx in 2015, fellow REIT DuPont Fabros in 2017, and Ascenty in 2018. The combined entity will own more than 275 data centers and earn close to $4 billion in annual revenues in 2019. While not reflected yet in the chart below, the $8.4 billion deal will be the largest data center transaction ever, topping the $7.6 billion DFT deal in 2017.

While weak pricing power is nothing new for data center REITs, it becomes more of a concern as external growth rates begin to naturally cool across the sector following several years of above-trend growth. The development pipeline has come back down to Earth over the last few quarters after briefly exceeding $3 billion at the end of 3Q18 and finishing 2018 at $2.9B. While development remains fairly disciplined and responsive to demand, it's unclear whether there are any real barriers to supply growth in the wholesale segment, a segment flush with cash from the hyperscale giants.

As they have for most of the past half-decade, data center REITs continue to trade at premium valuations to the REIT averages based on Free Cash Flow (aka AFFO, FAD, CAD) based metrics. Powered by the iREIT Terminal, we note that data center REITs have seen some of the fastest rates of FFO growth over the last five years at roughly 8%, but we expect growth to be closer to the REIT average over the next half-decade. As noted above, data center REITs trade at an estimated 20-30% premium to NAV. Maintaining this NAV premium is critical to accretively funding these REITs' external growth ambitions and maintaining a critical cost of capital advantage over private market competitors.

Data Center REITs pay an average dividend yield of 2.3%, which is below the REIT sector average dividend yield of around 3.4%. Data center REITs pay out just 50% of their free cash flow, leaving them ample capacity to increase dividends or reinvest in growth. In our recent report, "The REIT Paradox: Cheap REITs Stay Cheap", we discussed our study that showed that lower-yielding REITs in faster-growing property sectors with lower leverage profiles have historically produced better total returns, on average, than their higher-yielding counterparts.

Within the sector, we note the differences in yield for these five REITs and an estimation of their approximate payout ratios. CoreSite yields a sector-high of 4.2% followed by Digital Realty at 3.3% and CyrusOne at 3.0%. Equinix remains the most "growth-oriented" REIT, paying a yield of just 1.6% but retaining more than 60% of free cash flow.

Business spending on cloud infrastructure is still in its infancy, as nearly 75% of global IT spending is still on traditional IT. According to IDC, cloud deployment is expected to steadily accelerate over the next decade, and by 2020, more than 50% of IT spending will be on cloud-based infrastructure. The economics of cloud deployments are expected to remain highly favorable for the foreseeable future. While our base-case is that data center pricing remains soft due to intense competition from hyperscale providers, Data Center REITs may be able to retain pricing power through consolidation if or when barriers to supply growth develop. We believe that scale is a competitive advantage that may lead to accretive acquisition-fueled growth. Below, we outline five reasons that investors are bullish on the data center space.

Flush with cash, "big-tech" has invested enormously over the last five years in enterprise cloud services and building out network capacity, primarily by leasing massive quantities of space from these data center REITs. While certainly a short-term win for these REITs, these "public cloud" offerings are increasingly winning business from larger corporate customers that may have historically deployed a more traditional hybrid cloud solution that involved these clients renting space directly from these data center REITs. While Digital Realty only projects out to 2021, we see hyperscale players commanding a growing share of total data center traffic and processing power and that more firms will work more exclusively in the "public cloud." We see the industry evolving into a model more akin with the cell tower REIT sector whereby a small number of "carriers" have an effective duopoly or triopoly due to the cost advantages of scale and network effects.

Data Center REITs - the physical epicenter of the "cloud" - continue to ride the substantial secular tailwinds behind the big-data" and cloud computing boom, surging nearly 50% in 2019 and are off to another hot start in 2020. Storm clouds have been building around the high-flying technology-focused sector, however, as intense competition and furious supply growth have weakened pricing power, underscored by Digital Realty's 4% decline in "same capital" NOI growth in 2019.

Responding to pressure from the hyperscale giants Amazon, Microsoft, and Google data center operators have turned to M&A to regain pricing power, a trend we expect to continue. As we told National Real Estate Investor in January, "Given the favorable cost of capital enjoyed by these REITs, we see more consolidation likely in the early 2020s, and would be shocked if there were still five REITs in their current form by 2025. Given the recent "merger mania" trends in the REIT sector over the past month, we'd say that at least one acquisition is likely by the end of 2020.

While we expect continued robust demand for data center space, the outlook for the REITs themselves remains cloudy given the increasingly competitive landscape. With negative same-store growth, these companies are highly dependent on external growth, underscored by the moderation in AFFO growth in 2020 to levels below the broader REIT average. That said, we believe that incremental demand associated with the "next generation" of cloud computing - applications like artificial intelligence, the internet of things, and augmented reality - could shake-up the competitive dynamics in a way that could ultimately benefit these REITs and will be the "wild-card" that will determine if the 2020s are as strong as the 2010s for the data center REIT sector.

If you enjoyed this report, be sure to "Follow" our page to stay up to date on the latest developments in the housing and commercial real estate sectors. For an in-depth analysis of all real estate sectors, be sure to check out all of our quarterly reports: Apartments, Homebuilders, Student Housing, Single-Family Rentals, Manufactured Housing, Cell Towers, Healthcare, Industrial, Data Center, Malls, Net Lease, Shopping Centers, Hotels, Billboards, Office, Storage, Timber, and Real Estate Crowdfunding.

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Disclosure: I am/we are long DLR, COR. I wrote this article myself, and it expresses my own opinions. I am not receiving compensation for it (other than from Seeking Alpha). I have no business relationship with any company whose stock is mentioned in this article.

Additional disclosure: Hoya Capital Real Estate advises an ETF. In addition to the long positions listed below, Hoya Capital is long all components in the Hoya Capital Housing 100 Index. It is not possible to invest directly in an index. Real Estate and Housing Index definitions and holdings are available at HoyaCapital.com.

Index performance cited in this commentary does not reflect the performance of any fund or other account managed or serviced by Hoya Capital Real Estate. All commentary published by Hoya Capital Real Estate is available free of charge and is for informational purposes only and is not intended as investment advice. Data quoted represents past performance, which is no guarantee of future results. Information presented is believed to be factual and up-to-date, but we do not guarantee its accuracy. Real Estate and Housing Index definitions and holdings are available at HoyaCapital.com.

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Data Center REITs: Battle Of The Clouds - Seeking Alpha

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High-risk vulnerabilities and public cloud-based attacks on the rise – Help Net Security

A sharp increase (57%) in high-risk vulnerabilities drove the threat index score up 8% from December 2019 to January 2020, according to the Imperva Cyber Threat Index.

Following the release of Oracles Critical Patch Update which included 19 MySQL vulnerabilitiesthere was an unusual increase in the vulnerabilities risk component within the Index.

Specifically, there was a 57% increase in vulnerabilities that can be accessed remotely with no authentication required, have a public exploit available, or are trending in social media, meaning they pose an especially high level of risk to businesses.

Web attacks originating from the public cloud saw a 16% spike from November to December 2019. AWS was the top source of attacks, responsible for 94% of all web attacks coming from public clouds. This suggests that public cloud companies should be auditing malicious behavior on their platforms.

In the same month that the coronavirus outbreak first came to light, two new spam campaigns that relied on the hype around coronavirus were observed.

These messages lure people to enter a site that tracks the spread of the virus and also offers the sale of shady pharmaceuticals.

Despite widespread concern over the recent Citrix Application Delivery Controller bug, it was only ranked as the 176th most frequent attack vector seen this month.

For comparison, high-profile attack vectors such as this typically rank among the top 20. The Citrix bug accounted for 200,000 attacks detected, while the top attack vector in January accounted for over two billion attacks.

More than half (51%) of the attacks against the adult industry were remote code execution (RCE). The reason these attacks pose an inflated risk is because a remote attacker can run malicious code to hijack the server and access its data.

Most of the top 10 countries in which attacks originated were targeting sites within the same country. The exceptions were attackers from Germany and China who targeted U.S.-based websites.

This can be attributed in part to the fact that many websites under attack from different regions are located in U.S. data centers. This finding shows that even cyber attacks conducted by foreign adversaries often appear to originate locally.

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High-risk vulnerabilities and public cloud-based attacks on the rise - Help Net Security

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Executive interview: Making IT sustainable – ComputerWeekly.com

In October 2019, the Department for Food and Rural Affairs (Defra) Sustainable technology annual report 2018 to 2019 reported that cloud-first and digital agendas, policies and strategies have led to the closure of inefficient on-premise datacentres.

But as departments adopt more efficient cloud, private cloud or colocated datacentres, the operators must become more transparent in terms of sustainability, saysSusanne Baker,who is responsible forTechUK'sclimate change programmes. Baker believes there is now greater emphasis on cloud providers to demonstrate how efficient they really are.

According to Greenpeace, since 2010, when it first started reporting on datacentre energy use, more than 20 of the largest internet companies including Facebook, Google and Apple have established public commitments to power their digital infrastructure with 100% renewable energy.

Last year, the environmental group claimed that unlike other leading IT firms that have adopted 100% renewable energy commitments,Amazon has remained notoriously opaque when it comes to publicly reporting information about its current energy use.

The Defra sustainability report found that while government departments are indeed lowering the carbon footprint of their IT estates, the increasing use of cloud providers by public sector organisations makes it far harder to calculate their overall carbon footprint.

There are high-level protocols to assess the carbon footprint of outsourced cloud services, says Baker.

But as every organisation becomes digitised and consumes more cloud services, she says it is now extremely hard for businesses to account for the carbon emissions these cloud-powered services create.

In a datacentre, servers tend to use power continuously because they operate 24/7. According to Baker, server lifecycle carbon impact is heavily dominated by the applications being run. As such, it is environmentally good practice to replace older servers with new ones on a regular basis. This runs contrary to perceived wisdom that assets should be sweated for as long as possible.

In Bakers experience, servers over five years old are unlikely to contribute to an efficient IT operation. She says third-party providers are generally incentivised to optimise refresh rates, compared with in-house operations, where the datacentre is not run as a business unit.

The large, hyperscale operators may replace the central processing units as frequently as every 12 months, but two to three years is more common practice, she adds.

Services that run in the cloud consume processor cycles, storage and network bandwidth. These parameters can be measured, as they are used for billing. But, according to Baker, an accurate assessment of how green a particular service is very complex due to the highly distributed nature of cloud computing. This is a problem for the government and large enterprises as they attempt to meet sustainability targets.

For instance, in the past, a traditional media company may have been able to measure its carbon footprint by following its supply chain to assess the impact of printing newspapers and distribution. But, as media firms have moved to the cloud, it is now far harder to understand their carbon footprint.

Baker says an executive at a traditional media company recently told her that now the product is in the cloud, the company does not have the faintest idea of its carbon footprint.

Unlike when newspaper and magazine printing was outsourced to a printing company that needed to have its own sustainability reporting, it is difficult to gather evidence in the cloud. Not only do the media companies that wish to calculate their carbon footprint now need to understand how much energy is being used to host their digital media services, they also need to count the carbon footprint impact of the readership accessing those services.

And here lies another issue organisations face as they try to drive down their carbon footprint in the drive for zero emissions. Since Moores Law was coined in the late 1960s, the industry mantra has been to offer more for less: more processing power, which doubles every 18 months, according to Moores Law; more bandwidth; and more storage for the same cost.

This has driven up consumption of digital products and services people are enticed to use more, because the industry claims this is better and does not cost anything more. For instance, standard-definition video is now defunct. Its successor, high-definition (HD), is quickly being replaced online by Ultra HD video. And such content consumes more and more bandwidth. According to the recommended bandwidth for Googles Stadia stream gaming service, 10Mbps is recommended for 720p standard definition, 20Mbps for HD and 35Mbps for the best experience in Ultra HD.

If you had to pay to upload a photo to Facebook, there would be outrage. There is no information on the energy impact of the photo Suzanne Baker, TechUK

While Stadia and other premium internet services such as Spotify and Netflix charge for higher quality streaming, requiring more bandwidth, much of the internet is free. Baker says consumers need to appreciate the environmental costs of these supposedly free services. While the younger generation prefers on-demand video services and YouTube, broadcast has a way lower carbon footprint, she says.

But there is no going back to the era when families would all gather in front of the TV to watch a broadcast. Instead, consumers are being offered higher and higher definition video streaming.

How do you communicate to the consumer that high-definition video is very byte-intensive? There is an impact at every stage, says Baker.

For example, if someone creates an ultra-high-definition video, uploading the file will consume some network bandwidth, and it will use significantly more storage than a standard-definition video, but, says Baker, what happens if the video goes viral and is downloaded by 800,000 people?.

Just as with high-definition premium internet services, each download will need to be processed in datacentres running servers, network switches and gateway servers, somewhere on the global internet.

For some applications, the consumer is likely to make a conscious effort not to use the ones that are less efficient. For instance, Baker says smartphone apps that are most energy intense are the ones that get weeded out.

But she says the advertising-based business model, where producers of content and consumers are not charged, does nothing to promote or encourage energy efficiency. If you had to pay to upload a photo to Facebook, there would be outrage, she says. There is no information on the energy impact of the photo.

However, Baker believes the Defra report, which was produced in conjunction with the HMG Sustainable Technology Advice and Reporting team, will help to drive greater transparency in the datacentre operators market. I am seeing change influenced by the government, which has net zero emissions goals, she says. There is a greater level of scrutiny.

Thegrowing pressure for datacentre and cloud operators to provide transparent reporting on sustainability could benefit both businesses and consumers. For instance, in the government department, Baker says green ICT is becoming a tender requirement. The sustainability credentials of the providers is part of the decision-making process.

As organisations assess what to outsource, and whether to use cloud infrastructure or a cloud platform and in-government department, green ICT is becoming a tender requirement for them too.

The companies that ask questions on sustainability are very big customers, and this will apply pressure, says Baker. I would hope that in five years there will be much higher levels of sustainability reporting.

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Executive interview: Making IT sustainable - ComputerWeekly.com

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Cloud Server Market Strategies and Insight Driven Transformation 2019-2025 – News Parents

The research study provided by DataIntelo on Global Cloud Server Industry offers strategic assessment of the Cloud Server Market. The industry report focuses on the growth opportunities, which will help the Global Cloud Server Market to expand operations in the existing markets.

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Cloud Server Market Strategies and Insight Driven Transformation 2019-2025 - News Parents

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