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VMwares Project Monterey bears hardware-accelerated fruit – The Stack

Back in September 2020 VMware announced what it called Project Monterey as a material rearchitecture of infrastructure software for its VMware Cloud Foundation (VCF) a suite of products for managing virtual machines and orchestrating containers. The project drew in a host of hardware partners, as the virtualisation heavyweight looked to respond to the way in which cloud companies were increasingly using programmable hardware like FPGAs and SmartNICs to power data centre workloads that could be offloaded from the CPU in the process freeing up CPU cycles for core enterprise application processing work and improving performance for the networking, security, storage and virtualisation workloads offloaded to these hardware accelerators.

Companies including numerous large VMware customers looking to keep workloads on-premises had struggled to keep pace with the way in which cloud hyperscalers were rethinking data centre architecture like this. Using the kind of emerging SmartNICs, or what are increasingly called Data Processing Units (DPUs) was requiring extensive software development to adapt them to the users infrastructure. Project Monterey was an ambitious bid to tackle that from VMwares side in close collaboration with SmartNIC/DPU vendors Intel, NVIDIA and Pensando (now owned by AMD) and server OEMs Dell, HPE and Lenovo in order to improve performance.

This week Project Monterey bore some very public fruit, with those server OEMs and chipmakers lining up to offer new products optimised for VMware workloads and making some bold claims about total cost of ownership (TCO) savings as well as infrastructure price-performance ultimately, by relieving server CPUs of networking services and running infrastructure services on the DPU isolated from the workload domain, security will also markedly improve, all partners emphasised, as will workload latency and throughput for enterprises.

NVIDIA, for example, thinks using its new data processing units (DPUs) can save $8,200 per server in total cost of ownership (TCO) terms or $1.8 million in efficiency savings over three years for 1,000 server installations. (A single BlueField-3 DPU replaces approximately 300 CPU cores, NVIDIA CEO Jensen Huang has earlier claimed.) Customers can get the DPUs with new Dell PowerEdge servers that start shipping later this year and which are optimised for vSphere 8: This is a huge moment for enterprise computing and the most significant vSphere release weve ever seen, said Kevin Deierling, a senior VP at Nvidia. Historically, weve seen lots of great new features and capabilities with VMwares roadmap. But for the first time, were introducing all of that goodness running on a new accelerated computing platform that runs the infrastructure of the data centre.

(The BlueField 3 DPUs accelerating these VMware workloads feature 16 x Arm A78 cores, 400Gbit/s bandwidth and PCIe gen 5 support accelerators for software-defined storage, networking, security, streaming, line rate TLS/IPSEC cryptography, and precision timing for 5G telco and time synchronised data centres.)

Certain latency and bandwidth-sensitive workloads that previously used virtualization pass-thru can now run fully virtualized with pass-thru-like performance in this new architecture, without losing key vSphere capabilities like vMotion and DRS said VMware CEO Raghu Raghuram. Infrastructure admins can rely on vSphere to also manage the DPU lifecycle, Raghuram added: The beauty of what the vSphere engineers have done is they have not changed themanagement model. It can fit seamlessly into the data center architecture of today

The releases come amid a broader shift to software-defined infrastructure. As NVIDIA CEO Jensen Huang has earlier noted: Storage, networking, security, virtualisation, and all of that all of those things have become a lot larger and a lot more intensive and its consuming a lot of the data centre; probably half of the CPU cores inside the data center are not running applications. Thats kind of strange because you created the data center to run services and applications, which is the only thing that makes money The other half of the computing is completely soaked up running the software-defined data centre, just to provide for those applications. [That] commingles the infrastructure, the security plane and the application plane and exposes the data centre to attackers. So you fundamentally want to change the architecture as a result of that; to offload that software-defined virtualisation and the infrastructure operating system, and the security services to accelerate it

Vendors are lining up to offer new hardware and solutions born out of the VMware collaboration meanwhile. Dells initial offering of NVIDIA DPUs is on its VxRail solution and takes advantage of a new element of VMwares ESXi (vSphere Distributed Services Engine), moving network and security services to the DPU. These will be available via channel partners in the near future. Jeff Boudreau, President, Dell Technologies Infrastructure Solutions Group added: Dell Technologies and VMware have numerous joint engineering initiatives spanning core IT areas such as multicloud, edge and security to help our customers more easily manage and gain value from their data.

AMD meanwhile is making its Pensandu DPUs available through Dell, HPE and Lenovo. Those with budgets for hardware refreshes and a need for performance for distributed workloads will be keeping a close eye on price and performance data as the products continue to land in coming weeks and months.

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How reality gets in the way of quantum computing hype – VentureBeat

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Baidu is the latest entrant in the quantum computing race, which has been ongoing for years among both big tech and startups. Nevertheless, quantum computing may face a trough of disillusionment as practical applications remain far from reality.

Last week, Baidu unveiled its first quantum computer, coined Qian Shi, as well as what it claimed is the worlds first all-platform integration solution, called Liang Xi. The quantum computer is based on superconducting qubits, which is one of the first types of qubits, among many techniques that have been investigated, that became widely adopted, most notably in the quantum computer which Google used to proclaim quantum supremacy.

Qian Shi has a computing power of 10 high-fidelity qubits. High fidelity refers to low error rates. According to the Department of Energys Office of Science, once the error rate is less than a certain threshold i.e., about 1% quantum error correction can, in theory, reduce it even further. Beating this threshold is a milestone for any qubit technology, according to the DOEs report.

Further, Baidu said it has also completed the design of a 36-qubit chip with couplers, which offers a way to reduce errors. Baidu said its quantum computer integrates both hardware, software and applications. The software-hardware integration allows access to quantum chips via mobile, PC and the cloud.

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Moreover, Liang Xi, Baidu claims, can be plugged into both its own and third-party quantum computers. This may include quantum chips built on other technologies, with Baidu giving a trapped ion device developed by the Chinese Academy of Sciences as an example.

With Qian Shi and Liang Xi, users can create quantum algorithms and use quantum computing power without developing their own quantum hardware, control systems or programming languages, said Runyao Duan, director of the Institute for Quantum Computing at Baidu Research. Baidus innovations make it possible to access quantum computing anytime and anywhere, even via smartphone. Baidus platform is also instantly compatible with a wide range of quantum chips.

Despite Baidus claim of being the worlds first such solution, the Liang Xi platform is reminiscent of Israels Innovation Authority approach, which is also aimed at being compatible with various types of qubits.

Although this is Baidus first quantum computer, the company has already submitted over 200 patents throughout the last four years since the founding of its quantum computing research institute. The patents span various areas of research including quantum algorithms and applications, communications and networks, encryption and security, error correction, architecture, measurement and control and chip design.

Baidu claims its offering paves the way for the industrialization of quantum computing, making it the latest company to make grandiose claims about quantum computing being on the verge of widespread adoption. Some quantum startups have already amassed staggering valuations of over $1 billion.

However, real applications for quantum computers, besides encryption, have yet to emerge. And even if they do, its expected that those will require thousands, which is far from what has anyone yet been able to achieve. For example, this scalability concern led Intel to stop pursuing the popular superconducting qubit approach in favor of the less mature silicon and silicon-germanium qubits, which are based on transistor-like structures that can be manufactured using traditional semiconductor equipment.

Nevertheless, voices are already emerging to warn of overhyping the technology. In the words of the Gartner Hype Cycle, this may mean that quantum computing may approach its trough of disillusionment.

The other main challenge in quantum computing is that real qubits tend to be too noisy, leading to decoherence This leads to the necessity of using quantum error correction, which increases the number of qubits far above the theoretical minimum for a given application. A solution called noisy intermediate scale quantum (NISQ) has been proposed as a sort of midway, but its success has yet to be shown.

The history of classical computers is filled with examples of applications that the technology enabled that had never been thought of beforehand. This makes it tempting to think that quantum computing may similarly revolutionize civilization. However, most approaches for qubits currently rely on near-absolute zero temperature. This inherent barrier implies quantum computing may remain limited to enterprises.

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The U.S., China, and Europe are ramping up a quantum computing arms race. Heres what theyll need to do to win – Fortune

Every country is vying to get a head start in the race to the worlds quantum future. A year ago, the United States, the United Kingdom, and Australia teamed up todevelopmilitary applications of digital technologies, especially quantum computing technologies. That followed the passage in 2019 of the National Quantum Initiative Act by the U.S. Congress, which laid out the countrys plans to rapidly create quantum computing capabilities.

Earlier, Europe launched a $1 billion quantum computing research project, Quantum Flagship, in 2016, and its member states have started building a quantum communications infrastructure that will be operational by 2027. In like vein, Chinas 14th Five Year Plan (2021-2025) prioritizes the development of quantum computing and communications by 2030. In all, between 2019 and 2021 China invested as much as $11 billion, Europe had spent $5 billion, the U.S. $3 billion, and the U.K. around $1.8 billion between to become tomorrows quantum superpowers.

As the scientific development of quantum technologies gathers momentum, creating quantum computers has turned into apriority for nations that wish to gain the next competitive advantage in the Digital Age. Theyre seeking this edge for two very different reasons. On the one hand,quantum technologies will likely transform almost every industry, from automotive and aerospace to finance and pharmaceuticals. These systems could create fresh value of between $450 billion and $850 billion over the next 15 to 30 years, according to recentBCG estimates.

On the other hand, quantum computing systems will pose a significant threat to cybersecurity the world over, as we argued in an earliercolumn.Hackers will be able to use them to decipher the public keys generated by the RSA cryptosystem, and to break through the security of any conventionally-encrypted device, system, or network. It will pose a potent cyber-threat, popularly called Y2Q (Years to Quantum), toindividuals and institutions as well as corporations and country governments. The latter have no choice but to tacklethe unprecedented challenge by developing countermeasures such as post-quantum cryptography, which will itself require the use of quantum systems.

Countries have learned the hard way since the Industrial Revolution that general-purpose technologies, such as quantum computing, are critical for competitiveness. Consider, for instance, semiconductor manufacturing, which the U.S., China, South Korea, and Taiwan have dominated in recent times. When the COVID-19 pandemic and other factors led to a sudden fall in production over the last two years, it resulted in production stoppages andprice increases in over 150 industries, including automobiles, computers, and telecommunications hardware. Many countries, among the members of theEuropean Union, Brazil, India, Turkey, and even the U.S., were hit hard, and are now trying to rebuild their semiconductorsupply chains. Similarly,China manufacturesmost of the worlds electric batteries, with the U.S. contributingonly about 7% of global output. Thats why the U.S. has recently announcedfinancial incentivesto induce business to create more electric battery-manufacturing capacity at home.

Much worse could be in store if countries and companies dont focus on increasing their quantum sovereignty right away. Because the development and deploymentof such systems requires the efforts of the public and private sectors, its important for governments to compare their efforts on both fronts with those of other countries.

The U.S. is expected to be the global frontrunnerin quantum computing, relying on its tech giants, such as IBM and Google, to invent quantum systems as well as numerous start-ups that are developing software applications. The latter attract almost 50% of the investments in quantum computing by venture capital and private equity funds, according toBCG estimates. Although the U.S. government has allocated only $1.1 billion, it has created mechanisms that effectively coordinate the efforts of all its agencies such as the NIST, DARPA, NASA, and NQI.

Breathing down the U.S.s neck: China, whose government has spent more on developing quantum systems than any other. . Those investments have boosted academic research, with China producing over 10% of the worlds research in 2021, according toour estimatessecond only to the U.S. The spillover effects are evident: Less than a year after Googles quantum machine had solved in minutes a calculation that would have taken supercomputers thousands of years to unravel, the University of Science and Technology of China (USTC) had cracked a problem three times tougher. As of September 2021, China hadnt spawned as many startups as the U.S., but it was relying on its digital giants such as Alibaba, Baidu, and Tencent to develop quantum applications.

Trailing only the U.S. and China, the European Unionsquantum computing efforts are driven by its member states as well as the union. The EUsQuantum Flagshipprogram coordinates research projects across the continent, but those efforts arent entirely aligned yet. Several important efforts, such as those ofFranceandGermany,run the risk of duplication or dont exploit synergies adequately. While the EU has spawned several startups that are working on different levels of the technology stacksuch as FinlandsIQM and FrancesPasqalmany seem unlikely to scale because of the shortage of late-stage funding. In fact, the EUs startups have attracted only about one-seventh as much funding as their American peers,according toBCG estimates.

Finally, the U.K. was one of the firstcountries in the world to launch a government-funded quantum computing program. Its counting on itseducational policiesand universities;scholarships for postgraduate degrees; and centers for doctoral training to get ahead. Like the EU, the U.K. also has spawned promising start-ups such asOrca,which announced the worlds smallest quantum computer last year. However, British start-ups may not be able to find sufficient capital to scale, and many are likely to be acquired by the U.S.s digital giants.

Other countries, such as Australia, Canada, Israel, Japan, and Russia are also in the quantum computing race, and could carve out roles for themselves. For instance, Canada is home to several promising startups, such asD-Wave, a leader in annealing computers; whileJapanis using public funds to develop a homegrown quantum computer by March 2023. (For an analysis of the comparative standings and challenges that countries face in quantum computing, please see the recentBCG report.)

Meanwhile, the locus of the quantum computing industry is shifting to the challenges of developing applications and adopting the technology. This shift offers countries, especially the follower nations, an opportunity to catch up with the leaders before its too late. Governments must use four levers in concert to accelerate their quantum sovereignty:

* Lay the foundations.Governments have to invest more than they currently do if they wish to develop quantum systems over time, even as they strike partnerships to bring home the technology in the short run. Once they have secured the hardware, states must create shared infrastructure to scale the industry. The Netherlands, for instance, has set upQuantum Inspire, a platform that provides users with the hardware to perform quantum computations.

* Coordinate the stakeholders.Governments should use funding and influence to coordinate the work of public and private players, as theU.S. Quantum Coordination Office, for instance,does. In addition, policymakers must connect stakeholders to support the technologys development. Thats how the U.S. Department of Energy, for instance, came to partner with the University of Chicago; together, theyve set up anacceleratorto connect startups with investors and scientific experts.

* Facilitate the transition. Governments must support businesss transition to the quantum economy. They should offer monetary incentivessuch as tax credits, infrastructure assistance, no- or low-interest financing, and free landso incumbents will shift to quantum technologies quickly. TheU.K., for instance, hasrecently expanded its R&D tax relief scheme to cover investments in quantum technologies.

* Develop the business talent.Instead of developing only academics and scientists, government policies will have to catalyze the creation of a new breed of entrepreneurial and executive talent that can fill key roles in quantum businesses. To speed up the process, Switzerland, for instance, has helped create amasters programrather than offering only doctoral programs on the subject.

Not all general-purpose technologies affect a countrys security and sovereignty as quantum computing does, but theyre all critical for competitiveness. While many countries talk about developing quantum capabilities, their efforts havent translated into major advances, as in the U.S. and China. Its time every government remembered that if it loses the quantum computing race, its technological independence will erodeand, unlike with Schrdingers cat, theres no doubt that its global competitiveness will atrophy.

ReadotherFortunecolumns by Franois Candelon.

Franois Candelonisa managing director and senior partner at BCG and global director of the BCG Henderson Institute.

Maxime Courtauxis a project leader at BCG and ambassador at the BCG Henderson Institute.

Gabriel Nahasis a data senior scientist at BCG Gamma and ambassador at the BCG Henderson Institute.

Jean-Franois Bobier is a partner & director at BCG.

Some companies featured in this column are past or current clients of BCG.

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Quantum Computing Market to Expand by 500% by 2028 | 86% of Investments in Quantum Computing Comes from 4 countries – GlobeNewswire

Westford, USA, Aug. 30, 2022 (GLOBE NEWSWIRE) -- Quantum computers touted as next big thing in computing. Major reliance on quantum computers could mean we're soon entering a new era of artificial intelligence, ubiquitous sensors, and more efficient drug discovery. While quantum computers are still in the earliest stages of development, growing interest in their capabilities means that they are likely to become a central part of future computing systems. This has created a growing demand for quantum computing market and software, with providers already reporting strong demand from major customers.

The promise of quantum computing is that it can solve complex problems much faster than traditional computers. This is because quantum computers are able to exploit the properties of subatomic particles such as photons, which are able to ferry information around extremely fast. So far, quantum computing market has been witnessing a demand coming mainly for scientific and research purposes.

However, this is set to change soon as there is growing demand for quantum computers market for various applications such as artificial intelligence (AI), machine learning and data analytics. Artificial intelligence (AI) is one application that could benefit greatly from the speed and accuracy of quantum computing. AI relies on algorithms that are trained on large data sets and are able to learn and improve upon their skills with repeated use. However, classical computer databases can take hours or even days to train an AI algorithm.

Get sample copy of this report:

https://skyquestt.com/sample-request/quantum-computing-market

Only 4 Countries are Responsible for 86% of Total Funding Since 2001

Quantum computing market is heating up. Companies like Google and IBM are racing to develop the technology, which could one day lead to massive improvements in artificial intelligence and other areas of cybersecurity. As per SkyQuests analysis, $1.9 billion public funding was announced in the second half of the year 2021, which, in turn, took the total global funding to $31 billion from year 2001. It was also observed that most of the private and public funding is coming from the US only, which account for around 49% of the private fundings, which is followed by UK (17%), Canada (14%), and China (6%).

In 2021, the global quantum computing market witnessed an investment of around $3 billion, out of which $1.9 billion came in the second of the year. All this investment is coming from both private and public domain to feast on the upcoming opportunity of generating around $41 billion revenue by the year 2040 at a CAGR of more than 30%. The market is projected to experience a significant surge in the demand for quantum sensing and Quantum communication in the years to come. As a result, investors have started pouring money to take advantage of rapidly expanding field. For instance, in 2021 alone, $1.1 billion out of $3 billion were invested in these two technologies. To be precise, $400 million and $700 million respectively.

SkyQuest has done deep study on public and private investment coming into global quantum computing market. This will help the market participants in understanding who are the major investors, what is their area of interest, what makes them to invest in the technology, investors profile analysis, investment pockets, among others.

IonQ, Rigetti, and D-Wave are Emerging Players in Global Quantum Computing Market

As quantum computing market becomes more mainstream, companies like IonQ, Rigetti and D-Wave are quickly proving they are the top emerging players in the field. IonQ is has been working on developing ionic quantum computer technology for several years now. IonQs flagship product is the IonQ One, which is a single-core quantum computer that can process quantum information.

The IonQ One has already been deployed at a number of institutions around the global quantum computing market including NASA.

Rigetti is another company that has been making significant strides in the development of quantum computing technology. Rigettis flagship product is the Rigetti Quilter, which is a scalable two-qubit quantum computer. The Rigetti Quilter is currently undergoing Phase II testing at NASAs Ames Research Center. D-Wave has also been making significant progress in the development of quantum computing technology. D-Waves flagship product is the D-Wave Two, which is a five-qubit quantum computer. The D-Wave Two was recently deployed at Google physicists to help accelerate the discovery of new phenomena in physics.

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Regetti has secured a total funding of around $298 million through 11 rounds until 2022 in the global quantum computing market. As per our analysis, the company has secured its last funding through post IPO equity. Wherein, Bessemer Venture Partners and Franklin Templeton Investments are the major investor in the company.

As per SkyQuests findings, these three organizations have collectively generated revenue of around $32 million in 2021 with market cap of more than $3 billion. However, at the same time, they are facing heavy loss. For instance, in 2021, they faced collective loss of over $150 million. Our observation also noticed that billions of dollars are poured into building the quantum computers, but most of the market players are not earning much in revenue in terms of ROI.

SkyQuest has published a report on global quantum computing market and have tracked all the current developments, market revenue, companys growth plans and strategies, their ROI, SWOT analysis, and value chain analysis. Apart from this, the provides insights about market dynamics, competitive landscape, market share analysis, opportunities, trends, among others.

Machine Learning Generated Revenue of Over $189 Million in 2021

Today, machine learning is heavily used for training artificial intelligence systems using data. Quantum computing market can help to speed up the process of training these systems by vastly increasing the amount of data that can be processed. This potential advantage of quantum computing is the ability to perform Fast Fourier Transform (FFT) calculations millions of times faster than classical computers. This is important for tasks like image processing and machine learning, which rely on fast FFT algorithms for comparing data sets.

A huge potential of quantum computing market has led to the development of several machine learning applications that use quantum computers. Some of these applications include fraud detection, drug discovery, and speech recognition. As per SkyQuest, fraud detection and drug discovery market were valued at around $25.1 billion and $75 billion, respectively. This represents a huge revenue opportunity for quantum computing market.

This technology has been used for a variety of purposes, including predicting the stock market and automating tasks such as decision making and recommendations. In machine learning, generating revenue is a major challenge through traditional processing. Wherein, traditional computer processing can only handle a small amount of data at a time. This limits how much data can be used in machine learning projects, which in turn limits the accuracy of the predictions made by the ANNs.

Quantum computing solves this problem by allowing computers to perform multiple calculations at the same time. This makes it possible to process vast amounts of data and make accurate predictions. As a result, quantum computing has already begun to revolutionize machine learning market.

SkyQuest has prepared a report on global quantum computing market. The report has segmented the market by application and done in-depth analysis of each application in revenue generation, market forecast, factors responsible for growth, and top players by applications, among others. The report would help to understand the potential of global market by application and understand how other players performing and generating revenue in each segment.

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Top Development in Global Quantum Computing Market

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Related Reports in SkyQuests Library:

Global Silicon Photonics Market

Global Data Center Transformer Market

Global Wireless Infrastructure Market

Global Cable Laying Vessel Market

Global Digital Twin Market

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Quantum Computing Market to Expand by 500% by 2028 | 86% of Investments in Quantum Computing Comes from 4 countries - GlobeNewswire

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Amazon and Google are not happy with Microsoft’s cloud changes – Quartz

Microsofts recent changes to its cloud contracts arent going down well with othertech behemoths.

Microsoft has decided to amend the terms of its licensing deals, making it easier for customers to run Microsoft software on cloud platforms beyond its own Azure. According to Microsoft, the changes will enable new scenarios for how they can license and run workloads with infrastructure outsourcers and are due to go into effect starting Oct. 1.

The new flexible virtualization benefits, which are meant to benefit smaller EU-based cloud service providers, exclude certain listed providers such as Alibaba, Amazon Web Services, Google Cloud, and Microsoft itself.

Amazon and Googles parent company, Alphabet, criticized Microsofts cloud computing changes, saying they limit competition and discourage customers from switching to rival cloud service providers, Reuters reported.

But Microsoft likely doesnt care what its rivals thinkthe plans aim to win over EU antitrust regulators. They are yet to react.

Brief history

On Feb. 1, 2010, when Microsoft launched Azure, it was among the trailblazers in the sector. Amazon Web Services (AWS) debuted much later in 2006, and Google Clouds in 2008.

While 95% of Fortune 500 companies use Azure, maintaining a stronghold hasnt been easy for the service. AWS has quickly climbed to the top of the chart.

Complicating matters further, Microsoft has been hit with a litany of complaints in Europe. In 2019, EU antitrust regulators launched a probe into the Washington-based firm after several smaller European competitors complained that Microsofts licensing terms made it prohibitively more expensive to run Microsoft software such as Office on cloud platforms other than its own Azure.

Microsofts move is meant to appease these critics, but drew ires from other tech giants.

Quotable

The promise of the cloud is flexible, elastic computing without contractual lock-ins. Customers should be able to move freely across platforms and choose the technology that works best for them, rather than what works best for Microsoft. At Google Cloud, we believe that openness matters, and we continue to gain customers trust by promoting the security, cost, and benefits of using multiple cloud providers. We urge all cloud providers to avoid locking in their customers and compete on the merits of their technologies.Marcus Jadotte, vice president of government affairs & policy at Google Cloud

By the digits

1.6 billion ($1.6 billion): How much Microsoft has been fined by EU antitrust regulators over the last decade

32, 19, and 7: The cloud market share commanded by AWS, Azure, and Google Cloud respectively

715 million: Microsoft Azure users globally (as of 2017)

200: Microsoft Azure products

Fun fact

The Microsoft Cloud is connected by enough fiber to stretch to the moon and back three times.

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Amazon and Google are not happy with Microsoft's cloud changes - Quartz

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Theres a storm brewing in cloud computingand most firms arent prepared for it – Fortune

Like so many other internet-era staples, cloud computing has evolved a great deal from its beginnings more than a quarter-century ago. What started as a way to centralize server capacity has grown to encompass thousands of services from providers big and small.

Yet for many firms, an understanding of the cloud and its associated costs remains primitive. PwCs Cloud Business Survey found that more than half (53%) of companies have yet to realize substantial value from their cloud investments.

With economic uncertainty growing by the month, pushing cloud-related decisions down the road could prove costly. Weve reached a critical juncture for business leaders to change how they approach the cloud, and the urgency is greater than you might think.

Firms that prepare today can recast the cloud as a driver of new business models, not just an outsourcing tool. They can minimize service creep, find value in what theyve paid for, and form partnerships to maximize return. By contrast, firms that wait could be forced into a more transactional view. They might treat the cloud like an on-or-off mechanism, cut from stacks they dont fully understand, and neglect to leverage the capabilities that remain.

The hard part is not deciding which organization you want to be in. The hard part is making the right investments to bring that vision to life.

To varying extents, most companies are undergoing some sort of digital transformation. They expect technology to form more of their business operations, and they want digital leverage to get there faster.

From their early days, cloud platforms have offered some fundamental tools to help. They replaced physical infrastructure with a virtual environment and solutions that required no physical footprint or hands-on management. But firms that still view cloud computing as just that, or even mostly that, are selling themselves short. Yes, storage and processing capacity are an important part of the cloud. But what youre really buying is agility: the speed to operate, scale, and change your enterprise. What once took two or three years to build in a physical environment can happen overnight.

That unlocks huge potentialand budgetary creep. Computing costs are here to stay, and overall technology costs will continue to rise with the main driver being increasing energy prices and consumption. They can equate to nearly 10% of revenue for some companies, with cloud services comprising a significant chunk of that. Already, the bill for cloud services can top $100 million per year for some firms. Leaders who see the cloud as a transition to a cheaper operating model might be in for a rude awakening. Instead, they should leverage the agility of the cloud and keep costs under control using a new approach that combines discipline and smart investments.

Companies should seek to reduce costs and capture returns.

Its easy to spin up cloud services at a moments noticeand its hard to manage the growth of infrastructure you cant see. Firms need the operating discipline to ask themselves whether they really need specific computing power or storage capability.

In the age of data centers, shutting down an application meant reallocating server space to another capability. Today, youd just acquire more cloud capacity to gain that new capability before shuttering the old. Even with watchful eyes at the top, its easy to end up with inefficient infrastructure usage.

Its vital to align the growth of cloud infrastructure with the growth of the larger business and manage the two similarly. What does that look like? Leaders need to embrace new mental models, expand digital upskilling for relevant employees, and invest in the headcount to engage the services theyve bought. Firms need to innovate faster, deploy low-code/no-code solutions, and leverage the cloud to create better experiences for their employees and customers.

That creates value in cloud services, which tightening market conditions will make even more critical. Efficient cloud usage can make the difference in retaining the very jobs responsible for managing that usage.

Of course, businesses should absolutely manage their cloud services just as they do other variable utilities and put processes in place to ensure they turn off whats not being used, even if it served a past purpose. Just like you wouldnt blast the HVAC at home while you were on vacation, unused cloud capacity is running up a bill.

The cloud still needs people. Recasting the cloud, remaining disciplined on spending, and extracting value from the services you retain requires a wholesale change of thinking.

Internally, leaders need to build transparency with partners who are less technologically oriented to explain how deriving value from the cloud means investing in the right talent to leverage its capabilities. In return, those same partners can feed business acumen back into cloud management. The cloud offers opportunities for efficiency for all parts of an organization, so everyone in the C-suite has a stake in itand should align on strategy. Having a unified executive team on these converging and complex business issues will remind you of businesswide priorities and help enhance the return on your cloud investment.

The best organizations have a harmonious relationship with their cloud provider so they can be in lockstep to develop new services as business environments change. They should align on the goals, pathways, and budgets of their business. Absent those conversations, the relationships become transactional: Clients derive less and less value, and thin budgets risk indiscriminate cloud cuts.

That gets back to the original point: Maximizing cloud potential, especially in uncertain economic times, requires new mentalities, more discipline, and some level of strategic investment. Firms that wait until the balance sheet forces their hand wont have the time or space to develop the best strategy. Its time for a completely new approach to managing the cloud.

Joe Atkinson is Chief Products & Technology Officer at PwC.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not reflect the opinions and beliefs ofFortune.

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Theres a storm brewing in cloud computingand most firms arent prepared for it - Fortune

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Still thinking about moving to the cloud? Worried about your cloud utilization? Then read this! – PaymentsJournal

In the past, businesses would have to invest heavily in their own hardware and software infrastructure. This inflexible approach made it difficult to respond quickly to changing market conditions. Cloud computing has changed all that by providing a more agile and flexible way to build and deploy applications.

Joe Atkinson, the Chief Products & Technology Officer at PwC wrote this cloud computing article for Fortune in which he identifies agility as the primary reason organizations should adopt the cloud. The article doesnt provide much proof to support the thesis, which isnt surprising in that calculating the value associated with agility is very difficult. As a result, most companies take the easy way and instead calculate potential savings possible when outsourcing the IT physical infrastructure. However, when making cost savings on infrastructure the primary driver, companies often fail to invest and encourage agility in software development. But adopting agility is far from free. Many software development shops continue to code relatively monolithic software. To become agile developers must embrace modularity, if not microservices, which are enabled using APIs. The cost associated with becoming agile was in the back third of the article, and I can only say this doesnt really do justice to the costs associated with going agile:

Its vital to align the growth of cloud infrastructure with the growth of the larger business and manage the two similarly. What does that look like? Leaders need to embrace new mental models, expand digital upskilling for relevant employees, and invest in the headcount to engage the services theyve bought. Firms need to innovate faster, deploy low-code/no-code solutions, and leverage the cloud to create better experiences for their employees and customers.

That creates value in cloud services, which tightening market conditions will make even more critical. Efficient cloud usage can make the difference in retaining the very jobs responsible for managing that usage.

Of course, businesses should absolutely manage their cloud services just as they do other variable utilities and put processes in place to ensure they turn off whats not being used, even if it served a past purpose. Just like you wouldnt blast the HVAC at home while you were on vacation, unused cloud capacity is running up a bill.

Overview byTim Sloane,VP, Payments Innovation at Mercator Advisory Group.

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Still thinking about moving to the cloud? Worried about your cloud utilization? Then read this! - PaymentsJournal

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Filings buzz in the aerospace and defence sector: 265% increase in cloud computing mentions in Q2 of 2022 – Airforce Technology

Mentions of cloud computing within the filings of companies in the aerospace and defence sector rose 265% between the first and second quarters of 2022.

In total, the frequency of sentences related to cloud computing between July 2021 and June 2022 was 200% higher than in 2016 when GlobalData, from whom our data for this article is taken, first began to track the key issues referred to in company filings.

When companies in the aerospace and defence sector publish annual and quarterly reports, ESG reports and other filings, GlobalData analyses the text and identifies individual sentences that relate to disruptive forces facing companies in the coming years. Cloud computing is one of these topics - companies that excel and invest in these areas are thought to be better prepared for the future business landscape and better equipped to survive unforeseen challenges.

To assess whether cloud computing is featuring more in the summaries and strategies of companies in the aerospace and defence sector, two measures were calculated. Firstly, we looked at the percentage of companies which have mentioned cloud computing at least once in filings during the past twelve months - this was 68% compared to 28% in 2016. Secondly, we calculated the percentage of total analysed sentences that referred to cloud computing.

Of the 20 biggest employers in the aerospace and defence sector, Leonardo was the company which referred to cloud computing the most between July 2021 and June 2022. GlobalData identified 57 cloud-related sentences in the Italy-based company's filings - 0.7% of all sentences. General Dynamics mentioned cloud computing the second most - the issue was referred to in 0.2% of sentences in the company's filings. Other top employers with high cloud mentions included Leidos, Thales and Saab.

Across all companies in the aerospace and defence sector the filing published in the second quarter of 2022 which exhibited the greatest focus on cloud computing came from Leonardo. Of the document's 3,598 sentences, 27 (0.8%) referred to cloud computing.

This analysis provides an approximate indication of which companies are focusing on cloud computing and how important the issue is considered within the aerospace and defence sector, but it also has limitations and should be interpreted carefully. For example, a company mentioning cloud computing more regularly is not necessarily proof that they are utilising new techniques or prioritising the issue, nor does it indicate whether the company's ventures into cloud computing have been successes or failures.

In the last quarter, companies in the aerospace and defence sector based in Western Europe were most likely to mention cloud computing with 0.14% of sentences in company filings referring to the issue. In contrast, companies with their headquarters in the United States mentioned cloud computing in just 0.04% of sentences.

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Filings buzz in the aerospace and defence sector: 265% increase in cloud computing mentions in Q2 of 2022 - Airforce Technology

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Colleges Move Communications to the Cloud – EdTech Magazine: Focus on K-12

The IT staff eliminated every desk phone and requires employees to use the Zoom app instead. Employees are familiar with the Zoom app, so no training was needed. The only change was that a phone icon popped up on the app, Logan says.

Now, employees have the flexibility to make phone calls, launch videoconferences or message their colleagues or students. Zoom Phone also allows faculty members to communicate with students via SMS texting, a popular feature. Logan equipped every staff member withAppleAirPods to serve as headsets.

Staff can toggle back and forth between the communication options, Logan says. Its true collaboration.

Down south,Texas Christian University, a private university with 12,000 students in Fort Worth, Texas, recently migrated to RingCentrals cloud-based phone service, which has improved communications on and off campus, its IT leaders say.

About three years ago, TCUs maintenance contract for its traditional phone system was up for renewal. TCU CTO Bryan Lucas noticed a trend among customer premises equipment-based phone vendors where more of their research and development was being spent on their cloud-based solutions.

TCUs existing phone system was an antiquated mix of analog and digital phones. So, to modernize phone communications, Lucas and his team explored cloud-based options and chose RingCentral.

The migration of 5,000 user and campus phone numbers took meticulous planning. They implemented the project in 14 phases, installing between 500 to 1,000 phone lines in multiple buildings at a time, with each phase taking two months to complete, says Joshua Tooley, TCUs director of IT support.

First, they took inventory of each buildings phone lines and office business processes. Then they contacted their phone company to port the numbers over to RingCentral. While that was in progress, TCUs IT infrastructure team installed switches and network jacks in the areas that needed ports in preparation for the phone transition.

They then trained employees on the new system, deployed new Poly VVX phones, and after migrating phone service to RingCentral, they provided tech support to make sure numbers transferred successfully, Tooley says.

The IT team completed the user migration in spring 2021, about 2 1/2 years after the project began. Its a very comprehensive, coordinated effort, says Travis Cook, the universitys executive director of telecommunications and distributed antenna systems.

Today, about 90 percent of employees just use RingCentral for its phone and voicemail services. The other 10 percent take advantage of RingCentrals other features, including SMS texting and faxing, Tooley says.

Texting is an important new feature. TCU faculty members can now communicate with students through texts without having to give out their personal mobile phone numbers, Tooley says. Remote phone access is also important and has made a big impact on TCUs out-of-state recruiters, for example.

Instead of using a mobile number that might show the recruiters names, they can now call or text students on the RingCentral app, and the caller ID will show a TCU number, which increases the chances of students answering the call.

The biggest change is that were no longer restricted to being on campus, and it allows employees to be anywhere in the world, and they can take their work phone with them, Tooley says.

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Colleges Move Communications to the Cloud - EdTech Magazine: Focus on K-12

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Cloud Computing Platform as a Service (PaaS) Market 2022 Size, New Innovations, Technology, and Research Forecasts till 2030 Big Apple Buckets – Big…

The Global Cloud Computing Platform as a Service (PaaS) Market is expected to grow from USD $$ Millions in 2022 to USD $$ Millions by the end of 2030 at a Compound Annual Growth Rate (CAGR) of %. The market research report is compiled by Report Ocean with the participation of experience analysts from various industry domains. The market research report explains the various market determinants along with widely researched market sizing. Market estimation is a major part of the research report, which consist of quantitative analysis from available and analyzed market related data.

These data pointers help to get insights about competitors behavior in the report. Report also covers market overview from geographical viewpoint. For geography-based research, the market report covers all the regions and major countries of the world, that shows a regional development status, price, value and volume, market size and other related data.

Research Methodology:

Market forecasting is based upon a market model that is derived from market dynamics, connectivity, and various market related driving factors, which support the market assumptions. These market assumptions are based on facts that are derived from primary and secondary researches.

Manufacturer Detail, Cloudflare, IBM Cloud, Oracle, Salesforce, Google, ServiceNow, Apache Stratos, Windows Azure, AWS, OpenShift, Plesk, Zoho Creator, Red Hat, VMware, SAP

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In the past few years, the Cloud Computing Platform as a Service (PaaS) market experienced a huge change under the influence of COVID-19, the global market size of Cloud Computing Platform as a Service (PaaS) reached (2021 Market size $$) million $ in 2021 from (2016 Market size $$) in 2016 with a CAGR of 15 from 2016-2021 is. As of now, the global COVID-19 Coronavirus Cases have exceeded 200 million, and the global epidemic has been basically under control, therefore, the World Bank has estimated the global economic growth in 2021 and 2022. The World Bank predicts that the global economic output is expected to expand 4 percent in 2021 while 3.8 percent in 2022. According to our research on Cloud Computing Platform as a Service (PaaS) market and global economic environment, we forecast that the global market size of Cloud Computing Platform as a Service (PaaS) will reach (2026 Market size $$) million $ in 2026 with a CAGR of % from 2021-2026.

Due to the COVID-19 pandemic, according to World Bank statistics, global GDP has shrunk by about 3.5% in 2020. Entering 2021, Economic activity in many countries has started to recover and partially adapted to pandemic restrictions. The research and development of vaccines has made breakthrough progress, and many governments have also issued various policies to stimulate economic recovery, particularly in the United States, is likely to provide a strong boost to economic activity but prospects for sustainable growth vary widely between countries and sectors. Although the global economy is recovering from the great depression caused by COVID-19, it will remain below pre-pandemic trends for a prolonged period. The pandemic has exacerbated the risks associated with the decade-long wave of global debt accumulation. It is also likely to steepen the long-expected slowdown in potential growth over the next decade.

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The world has entered the COVID-19 epidemic recovery period. In this complex economic environment, we published the Global Cloud Computing Platform as a Service (PaaS) Market Status, Trends and COVID-19 Impact Report 2021, which provides a comprehensive analysis of the global Cloud Computing Platform as a Service (PaaS) market , This Report covers the manufacturer data, including: sales volume, price, revenue, gross margin, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the regions and countries of the world, which shows the regional development status, including market size, volume and value, as well as price data. Besides, the report also covers segment data, including: type wise, industry wise, channel wise etc. all the data period is from 2015-2021E, this report also provide forecast data from 2021-2026.

Region Segmentation

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Cloud Computing Platform as a Service (PaaS) Market 2022 Size, New Innovations, Technology, and Research Forecasts till 2030 Big Apple Buckets - Big...

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