Category Archives: Cloud Servers
Financial Industry IT Professionals and Executives Believe Data is Safer in the Cloud than On-Premises – PR Newswire (press release)
Other key results of the survey showed that, on average, financial organizations have around three services (3.25 average) in the cloud. Servers/data centers, Microsoft Exchange and Office, and other SaaS offerings were cited as the top deployed cloud services. Additionally, the survey indicated that adoption will continue to be strong, with 87.5 percent of respondents planning on adding new or additional cloud services in the next three years.
The survey results also found that 53.5 percent of organizations had deployed a cloud solution on their own versus using a third party provider. However, when asked if they had to start the deployment over, nearly half (45.5 percent) said they would outsource to a solution provider the next time.
"Financial organizations have recognized the significant benefits of the cloud and the pace of their adoption, and planned future adoption, is faster than many other industries," said Scott Kinka, Chief Technology Officer of Evolve IP. "Leveraging the Evolve IP Compliance CloudTM for PCI and FFIEC, along with geographically redundant Tier IV data centers, Evolve IP can help these organizations successfully deploy compliant cloud computing and communications services to secure systems and data, drive productivity and improve member and customer experiences."
Additional Findings:
Survey Methodology
The blind, web-based survey was conducted by Evolve IP during January of 2017, featuring over 1,300 respondents in multiple industries across North America. Over 110 of the respondents indicated they were in the financial industry. Of the financial respondents, 72.5 percent came from organizations with between 50 and 5,000 employees, 14 percent from companies with more than 5,000, 10 percent were businesses with 11-49 associates and 3.5 percent were small businesses with 10 employees or less. Evolve IP customers were excluded from the survey.
ABOUT EVOLVE IP
Evolve IP is The Cloud Services Company. Designed from the beginning to provide organizations with a unified option for cloud services, Evolve IP enables decision-makers to migrate all or select IT technologies to its award-winning cloud platform. Evolve IP's combination of security, stability, scalability, and lower total cost of ownership is fundamentally superior to outdated legacy systems and other cloud offerings. Today the company's services, including disaster recovery, IP phone systems / unified communications, contact centers, virtual desktops, IaaS and more, are deployed by more than 1,300 commercial business accounts with a combined 130,000+ users, licensed seats and managed end points. Visit http://www.EvolveIP.net for more information.
PRLog ID: http://www.prlog.org/12631310
To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/financial-industry-it-professionals-and-executives-believe-data-is-safer-in-the-cloud-than-on-premises-300435933.html
SOURCE Evolve IP
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Financial Industry IT Professionals and Executives Believe Data is Safer in the Cloud than On-Premises - PR Newswire (press release)
Alibaba is using Microsoft’s Azure networking switch for its public cloud – ZDNet
Last year, Microsoft contributed its Software for Open Networking in the Cloud (SONIC) to the Open Compute Project datacenter foundation. Almost exactly a year later, Alibaba announced that it is starting to use SONIC for its own public cloud datacenters.
SONIC, formerly known as Azure Cloud Switch, is Linux-based software for controlling networking switches. At the recent Open Networking Summit in Santa Clara, Microsoft officials said that Chinese ecommerce giant Alibaba is the latest to find use for SONIC, according to VentureBeat. Microsoft also uses SONIC in its own Azure datacenters.
SONIC -- the source code for which Microsoft makes publicly available on GitHub -- is built on Microsoft's open-sourced Switch Abstraction Interface (SAI), which defines a standardized programming interface for network hardware vendors.
In an April 3 blog post, Yousef Khalidi, Microsoft's corporate vice president of Azure Networking, provided some additional context on SONIC,
SONIC is "the first solution to break monolithic switch software into multiple containerized components." This allows operators to plug in new components required for specific scenarios.
SONIC "builds on existing open source technologies such as Docker for containers, Redis for key-value database, protocols like Quagga BGP and LLDPD, and Ansible for deployment. We used the best work in the industry to build SONiC. It evolves quickly because we're building it with existing open source projects. We contributed SONiC back to the community to propel the advance of open networking software in a wonderful, virtuous cycle," explained Khalidi.
(Here's Microsoft's presentation on SONIC at the Open Compute Project Summit.)
Microsoft joined the Open Compute Project (OCP) in 2014, and is a founding member of and contributor to the organization's SAI project. The OCP is a foundation created by Facebook in 2011 that publishes open hardware designs intended to be used to build datacenters relatively cheaply.
When Microsoft joined OCP, company officials said Microsoft would be contributing to the project its Microsoft cloud server specification -- a 12U shared server chassis capable of housing 24 1U servers -- as well as releasing its Chassis Manager under the open-source Apache license.
The OCP has already released specifications for motherboards, chipsets, cabling, common sockets, connectors, and open networking and switches.
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Alibaba is using Microsoft's Azure networking switch for its public cloud - ZDNet
Cloud Pioneer Rackspace Adds Services Unit to Ease Migrations – Fortune
Rackspace, a company that was early to the cloud computing market with its own private and public cloud products and related support, is unveiling a new professional services division to help business customers move from their own data centers into the cloud (or clouds) of their choice.
A public cloud consists of data centers that yoke together masses of servers, storage, and networking gearthat capacity is rented out to many customers. The leading providers are Amazon ( amzn ) Web Services, Microsoft ( msft ) , and Google ( goog ) . A "private" cloud is used by just one company, but the setup offers some of the flexibility of public cloud servicesallowing a company's internal departments to pay for the resources they use, and add and delete services as needed. Generally, most companies are looking to put at least some of their data, software development, and even applications into a public cloud service.
The new Rackspace Global Solutions and Services (GSS) group brings together many existing serviceslaunched over the past few years to support Rackspace customers wanting to use any of the major public clouds alongside various private cloud offerings. San Antonio-based Rackspace also sells its own private- and public-cloud products.
Rackspace has been going down this road of supporting other companies cloud efforts for quite some time.
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The new Rackspace group targets big Fortune 500 companies as well as mid-sized businesses. Rackspace architects and engineers will work with customers to plan, assess, design, migrate, manage and optimize cloud migrations, Rachel Cassidy, Rackspace's vice president of global solutions and services, said via email.
The company will offer customers help in moving existing applications (or rewrite them) for the cloud, as well as expertise in security and compliance, the company said.
Companies pay based on a fixed price or for the time and material used or as a continuous subscription service, based on their preference.
Many companies already offer migration services, including giant global systems integrators like Accenture ( acn ) , Avanade, Capgemini Worldwide, and Wipro. IBM ( ibm ) also fields a giant professional services arm. Meanwhile, AWS, Microsoft, and Google are building out their own services as well as bolstering relationships with big integrators.
Cassidy said feedback shows that many of the global systems integrators don't have the broad-and-deep skills needed for complicated migrations, but in some instances, Rackspace partner with those companies to serve mutual customers.
Rackspace was publicly held until last year when it was acquired by private equity firm Apollo Global. Note: (April 3, 2017 11:07 a.m.) This story was updated to add Rackspace pricing options.
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Cloud Pioneer Rackspace Adds Services Unit to Ease Migrations - Fortune
Alibaba cloud adopts Microsoft’s open-source networking software – VentureBeat
At the Open Networking Summit conference in Santa Clara, California, today, Microsoft and Alibaba are announcing that Alibabas public cloud is starting to use Software for Open Networking in the Cloud, or SONiC, which Microsoft introduced last year.
SONiC, originally known as Azure Cloud Switch, is Linux-based open source software that runs on networking switches. Its designed to let public cloud providers do more on their hardware at great scale. Microsoft contributed it to the Facebook-led Open Compute Project (OCP) last year.
Now Chinas largest cloud provider is adopting SONiC, following Microsoft Azure itself, Yousef Khalidi, corporate vice president for Azure networking, told VentureBeat in an interview. In addition to using SONiC, Alibaba will also contribute to the softwares development.
With SONiC, Microsoft has targeted public cloud environments, but thats not to say that companies cant experiment with the core open source software, which is available on GitHub. Applications that depend on SONiC-based infrastructure could well recover more quickly following downtime, Khalidi said.
Microsoft sought to build SONiC atop Linux primarily because of the community effect, Khalidi said. Thats significant considering Microsofts legacy of commercializing Windows, but Linux is widely used on public cloud servers particularly, and even in Azure, more than one-third of virtual machines (VMs) run Linux, Khalidi said.
Other systems for building on top of data center switches include startup Cumulus Linux distribution. There is also the HP-backed OpenSwitch.
Other public cloud infrastructure providers include Amazon Web Services (AWS) and Google Cloud Platform. Khalidi was not sure if they have used SONiC.
Khalidis blog post has more detail.
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Alibaba cloud adopts Microsoft's open-source networking software - VentureBeat
Tencent Cloud boosts AI with NVIDIA Tesla – Enterprise Innovation
Tencent Cloud will integrate NVIDIAs GPU computing and deep learning platform into its public cloud computing platform, to help advance artificial intelligence for enterprise customers.
This will provide users with access to a set of new cloud services powered by Tesla GPU accelerators, including the latest Pascal architecture-based Tesla P100 and P40 GPU accelerators with NVIDIA NVLink technology for connecting multiple GPUs and NVIDIA deep learning software.
NVIDIAs AI computing technology is used worldwide by cloud service providers, enterprises, startups and research organisations for a wide range of applications.
Companies around the world are harnessing their data with our AI computing technology to create breakthrough products and services, said Ian Buck, general manager of Accelerated Computing at NVIDIA. Through Tencent Cloud, more companies will have access to NVIDIAs deep learning platform, the worlds most broadly adopted AI platform.
Tencent Cloud VP Sam Xie said GPU offerings with NVIDIAs deep learning platform will help companies in China rapidly integrate AI capabilities into their products and services.
Organizations across many industries are seeking greater access to the core AI technologies required to develop advanced applications, such as facial recognition, natural language processing, traffic analysis, intelligent customer service, and machine learning.
The parallel processing capabilities of GPUs make the NVIDIA computing platform highly effective at accelerating a host of other data-intensive workloads, including advanced analytics and high performance computing.
As part of the two companies collaboration, Tencent Cloud intends to offer customers a wide range of cloud products based on NVIDIAs AI computing platforms. This will include GPU cloud servers incorporating NVIDIA Tesla P100, P40 and M40 GPU accelerators and NVIDIA deep learning software.
Tencent Cloud launched GPU servers based on NVIDIA Tesla M40 GPUs and NVIDIA deep learning software in December.
During the first half of this year, these cloud servers will integrate up to eight GPU accelerators, providing users with superior performance while meeting the requirements for deep learning and algorithms that involve ultra-high data volume and ultra-sized equipment.
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Tencent Cloud boosts AI with NVIDIA Tesla - Enterprise Innovation
Inside Micron’s Storage Business: Key Growth Drivers – Market Realist
Will Micron's Diversification Bring Earnings Stability? PART 4 OF 9
Micron Technology (MU) is looking to leverage its GDDR5 graphics memory solution to grow in the fast-growing segments of the cloud, graphics, and networking. The cloud segment is also driving growth in Microns SBU (storage business unit), the companys second-largest business, accounting for 26% of total revenues in fiscal 2016.
The SBU serves client and enterprise laptops, the cloud, and traditional enterprise servers. This segment has a mixed blend of DRAM (dynamic random access memory) and NAND offerings. One of its key products is the SSD (solid state drive), which is increasingly replacing HDD (hard disk drive) in laptops and PCs (personal computers).
SBUs earnings are more stable compared to Microns other business segments. In fiscal 2016, the segments revenue fell 11.5% YoY (year-over-year) to $3.26 billion, while Microns overall revenue fell 23% YoY. The weakness in PC storage has been offset, however, by steady demand from cloud customers like Google (GOOG) and Amazon (AMZN), which consistently invest in servers.
At the 2017 Analyst Day, Microns Vice President of Storage, Darren Thomas, talked about the factors that would drive SBUs growth in 2017. Thomas stated that the cloud is the fastest-growing segment in SBU. The increasing amounts of data generated from IoT (Internet of things) devices, social media, and other applications have led to the emergence of a large cloud environment. The cloud offers storage space on the network atlower costs than whats required in setting up servers.
Cloud services maintain huge server farms, and so even a small difference in the cost of hardware, software, and firmware can bring significant cost savings. The increasing adoption of personal digital assistants, at the same time, can increase memory demand in both the device market and the server farm. Although Micron does not supply memory chips for personal assistant devices, it will likely still benefit from the secondary opportunity created in the form of increasing demand for server farms.
In the enterprise space, companies place a lot of importance on performance, which requires more reliable, sustainable, and available sources of memoryand means that NAND (negative AND) has to be closer. And although PC demand has been falling, the demand for SSDs is growing as consumers are adding them externally to extend the lives of their PCs and laptops. At the same time, laptops are increasingly adopting SSDs to make their devices thinner and more secure.
Next, well see how Micron stands to benefit from the above growth drivers.
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Inside Micron's Storage Business: Key Growth Drivers - Market Realist
Tencent Cloud partners NVIDIA to bring AI cloud computing to China – MIS Asia
Nurdianah Md Nur | March 28, 2017
The partnership enables companies in China to integrate AI capabilities into their products and services.
Tencent Cloud will be integrating NVIDIA's GPU computing and deep learning platform into its public cloud platform to encourage enterprises in China to use artificial intelligence technologies.
The move will provide Tencent Cloud's customers access to new cloud services powered by Tesla GPU accelerators. This includes GPU cloud servers incorporating NVIDIA Tesla P100, P40 and M40 GPU accelerators and NVIDIA deep learning software.
According to NVIDIA, these cloud servers will integrate up to eight GPU accelerators in the first half of this year, which will meet the requirements for deep learning and algorithms that involve ultra-high data volume and ultra-sized equipment.
For instance, the cloud offerings can be used for advanced analytics and high performance computing. They can also be used to develop advanced applications such as facial recognition, intelligent customer service, and machine learning.
"Tencent Cloud GPU offerings with NVIDIA's deep learning platform will help companies in China rapidly integrate AI capabilities into their products and services," said Sam Xie, Vice President of Tencent Cloud. "Our customers will gain greater computing flexibility and power, giving them a powerful competitive advantage."
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Tencent Cloud partners NVIDIA to bring AI cloud computing to China - MIS Asia
Global Cloud Servers Market 2017 Dell, HP, IBM, Oracle, Cisco, Fujitsu, Hitachi, NEC – MilTech
Global Cloud Servers Market 2017, presents a professional and in-depth study on the current state of the Cloud Servers market globally, providing basic overview of Cloud Servers market including definitions, classifications, applications and industry chain structure, Cloud Servers Market report provides development policies and plans are discussed as well as manufacturing processes and cost structures. Cloud Servers market size, share and end users are analyzed as well as segment markets by types, applications and companies.
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The study Global Cloud Servers Industry 2017 is a detailed report scrutinizing statistical data related to the Global Cloud Servers industry. Historical data available in the report elaborates on the development of the Cloud Servers market on a Global and national level. The report compares this data with the current state of the market and thus elaborates upon the trends that have brought the market shifts.
The market forces determining the shaping of the Cloud Servers market have been evaluated in detail. In addition to this, the regulatory scenario of the market has been covered in the report from both the Global and local perspective. Market predictions along with the statistical nuances presented in the report render an insightful view of the Cloud Servers market.
The demand and supply side of the market has been extensively covered in the report. The challenges the players in the Cloud Servers market face in terms of demand and supply have been listed in the report. Recommendations to overcome these challenges and optimize supply and demand opportunities have also been covered in this report.
Growth prospects of the overall Cloud Servers industry have been presented in the report. However, to give an in-depth view to the readers, detailed geographical segmentation within the globe Cloud Servers market has been covered in this study. The key geographical regions along with their revenue forecasts are included in the report.
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The competitive framework of the Cloud Servers market in terms of the Global Cloud Servers industry has been evaluated in the report. The top companies and their overall share and share with respect to the Global market have been included in the report. Furthermore, the factors on which the companies compete in the market have been evaluated in the report.
This report also presents product specification, manufacturing process, and product cost structure etc. Production is separated by regions, technology and applications. Analysis also covers upstream raw materials, equipment, downstream client survey, marketing channels, industry development trend and proposals. In the end, the report includes Cloud Servers new project SWOT analysis, investment feasibility analysis, investment return analysis, and development trend analysis. In conclusion, it is a deep research report on Global Cloud Servers industry. Here, we express our thanks for the support and assistance from Cloud Servers industry chain related technical experts and marketing engineers during Research Teams survey and interviews.
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Our extensive research reports cover detailed market assessments that include major technological improvements in the industry. Fior Markets also specializes in analyzing hi-tech systems and current processing systems in its expertise.
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Global Cloud Servers Market 2017 Dell, HP, IBM, Oracle, Cisco, Fujitsu, Hitachi, NEC - MilTech
Tencent Cloud Adopts NVIDIA Tesla for AI Cloud Computing – insideBIGDATA
NVIDIA announced that Tencent Cloud will adopt NVIDIA Tesla GPU accelerators to help advance artificial intelligence for enterprise customers.
Tencent Cloud will integrate NVIDIAs GPU computing and deep learning platform into its public cloud computing platform. This will provide users with access to a set of new cloud services powered by Tesla GPU accelerators, including the latest Pascal architecture-based Tesla P100 and P40 GPU accelerators with NVIDIA NVLink technology for connecting multiple GPUs and NVIDIA deep learning software.
NVIDIAs AI computing technology is used worldwide by cloud service providers, enterprises, startups and research organizations for a wide range of applications.
Companies around the world are harnessing their data with our AI computing technology to create breakthrough products and services, said Ian Buck, general manager of Accelerated Computing at NVIDIA. Through Tencent Cloud, more companies will have access to NVIDIAs deep learning platform, the worlds most broadly adopted AI platform.
GPU-Based Cloud Offerings for AI
Organizations across many industries are seeking greater access to the core AI technologies required to develop advanced applications, such as facial recognition, natural language processing, traffic analysis, intelligent customer service, and machine learning.
The massively efficient parallel processing capabilities of GPUs make the NVIDIA computing platform highly effective at accelerating a host of other data-intensive workloads, including advanced analytics and high performance computing.
Tencent Cloud GPU offerings with NVIDIAs deep learning platform will help companies in China rapidly integrate AI capabilities into their products and services, said Sam Xie, vice president of Tencent Cloud. Our customers will gain greater computing flexibility and power, giving them a powerful competitive advantage.
As part of the companies collaboration, Tencent Cloud intends to offer customers a wide range of cloud products based on NVIDIAs AI computing platforms. This will include GPU cloud servers incorporating NVIDIA Tesla P100, P40 and M40 GPU accelerators and NVIDIA deep learning software. Tencent Cloud launched GPU servers based on NVIDIA Tesla M40 GPUs and NVIDIA deep learning software in December.
During the first half of this year, these cloud servers will integrate up to eight GPU accelerators, providing users with superior performance while meeting the requirements for deep learning and algorithms that involve ultra-high data volume and ultra-sized equipment.
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Tencent Cloud Adopts NVIDIA Tesla for AI Cloud Computing - insideBIGDATA
Tencent Will Outfit Its Public Cloud with Latest NVIDIA Tesla GPUs … – TOP500 News
NVIDIA has revealed that Chinese internet giant Tencent will deploy Tesla GPUs in its public cloud infrastructure. The GPUs are being deployed to help enterprise customers develop machine learning services.
Based on revenue, Tencent is Chinas largest internet company, offering a variety of social media, e-commerce, and gaming services for the worlds fastest growing online market. The company took in $15 billion in revenue in 2015, trailing only Amazon ($107B), Google ($75B), and Facebook ($18B). Tencents market value that year was $206 billion.
The companys public cloud is aimed at online businesses and other enterprise customers that have turned to the utility model for their computing infrastructure. The Tesla GPUs including both the P100 and P40 will be made available to these customers via the Tencent cloud, who are building machine learning services, either for their own customer base or for internal use. These include such things as natural language processing, facial recognition, automated customer service, and supply chain logistics.
"Tencent Cloud GPU offerings with NVIDIA's deep learning platform will help companies in China rapidly integrate AI capabilities into their products and services," said Sam Xie, vice president of Tencent Cloud, in prepared statement. "Our customers will gain greater computing flexibility and power, giving them a powerful competitive advantage.
Tesla GPUs have become the de facto standard for machine learning workloads for hyperscale companies. The P100, in particular, is NVIDIAs most powerful neural network training processor to date, and is being deployed in both AI-oriented supercomputers and public cloud infrastructure. Its general-purpose enough to handle both machine learning workload and more traditional HPC and data analytics applications.
The P40 is more precisely targeted to the machine learning space, and is specifically aimed at the inferencing side of those applications. In December 2016, Tencent had launched servers with M40 GPUs, the Maxwell-generation version of the P40.
Tencent, by the way, has also deployed IBM Power servers in its hyperscale datacenters for big data workloads. Theoretically, Tencent could deploy the NVIDIA Tesla GPUs in such servers, which would leverage the built-in NVLink support included in the latest Power processors. This would accelerate data communications between the host CPU (Power8) and the GPU (the P100), and offer Tencents enterprise customers a premier platform for machine learning.
More likely though, the GPUs are being hooked up to Intel Xeon processors in a more traditional server setup. According to NVIDIA, the Tencent cloud servers will incorporate up to eight GPUs in order to maximize performance for these machine learning workloads. Deployment is scheduled for the first half of this year.
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Tencent Will Outfit Its Public Cloud with Latest NVIDIA Tesla GPUs ... - TOP500 News