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C2030-283 Foundations of IBM Cloud Computing Architecture V3

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C2030-283 exam Dumps Source : Foundations of IBM Cloud Computing Architecture V3

Test Code : C2030-283
Test title : Foundations of IBM Cloud Computing Architecture V3
Vendor title : IBM
: 39 true Questions

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IBM Foundations of IBM Cloud

pricey Colleague Letter: Addition of IBM as a Cloud resource issuer to the FY 2018 BIGDATA Solicitation | killexams.com true Questions and Pass4sure dumps

April 13, 2018

pricey Colleagues:

through this pricey Colleague epistle (DCL), the countrywide Science groundwork's (NSF) Directorate for desktop and suggestions Science and Engineering (CISE) desires to notify the neighborhood that IBM has joined as one of the cloud useful resource providers for the fiscal yr (FY) 2018 vital recommendations, technologies, and Methodologies for Advancing Foundations and functions of massive statistics Sciences and Engineering (BIGDATA) application solicitation(see https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767 for extra assistance about the software).

As historical past, NSF introduced remaining 12 months the provision of a cloud selection as Part of the FY 2017 BIGDATA solicitation, with participation with the aid of Amazon net services (AWS), Google Cloud (GCP), and Microsoft Azure. The cloud selection enabled tasks to request cloud substances in assist of their massive records research and training actions, mainly focusing on gigantic-scale experimentation and scalability experiences.

This option remains in residence for the FY 2018 BIGDATA solicitation, with AWS, GCP, and Microsoft Azure continuing their participation. moreover, IBM has now joined the BIGDATA program as one of the most cloud useful resource suppliers, under the identical terms and stipulations as germane to totality the different cloud providers. The corresponding terms and conditions are described within the FY 2018 BIGDATA software solicitation, available at https://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf18539.

Proposers might too expend here IBM resources to develop the total cost of cloud elements together with an annual utilization contrivance over the length of the tasks:

As described within the solicitation, the request for cloud supplies might exist reviewed along with the relaxation of the concept. credit can exist allocated either for the cloud company requested within the notion, or for equivalent substances from an option cloud provider.

Please examine the whole solicitation carefully before getting ready your thought.

Please word that the submission time restrict for the FY 2018 BIGDATA solicitation is may additionally 7-14, 2018.

As renowned within the application solicitation, the NSF BIGDATA software webpage discovered at https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=504767 will continue to exist up-to-date to listing totality cloud providers presently taking Part in the application. As of the date of this DCL, these are Amazon, Google, Microsoft, and now IBM.

Questions concerning the BIGDATA software solicitation, including the cloud choice, may still exist directed to the cognizant program administrators listed in the solicitation.

in actual fact,Jim KuroseAssistant DirectorComputer and tips Science and Engineering


IBM taps Samsung for Chip Manufacturing | killexams.com true Questions and Pass4sure dumps

IBM (NYSE:IBM) became one of the most few organizations nonetheless developing the manufacturing processes to construct slicing-part chips. Then, lower back in 2015, IBM accomplished the sale of its chip manufacturing property to face-on my own chip brand GLOBALFOUNDRIES. 

sadly for IBM's chip efforts -- the company nevertheless develops vigour processors for servers and Z-sequence chips for its mainframes -- GLOBALFOUNDRIES ceased structure of cutting-side chip manufacturing technology. This left IBM in want of a fresh accomplice to manufacture its chip designs.

Inside an IBM computer room.

graphic source: IBM.

a short time lower back, Nikkei Asian evaluation reported that this fresh colleague can be Taiwan Semiconductor Manufacturing enterprise (NYSE:TSM). whereas GLOBALFOUNDRIES didn't bring its own seven-nanometer manufacturing expertise, marketed as 7LP, into mass production, TSMC's own seven-nanometer technology is now in mass creation. (if you are studying this on probably the most latest iPhones or iPads, you might exist the usage of a device powered with the aid of a TSMC seven-nanometer chip.)

fairly enough, that record was wrong, and it appears IBM is partnering with TSMC's best accurate competitor in main-facet semiconductor common sense expertise: Samsung (NASDAQOTH:SSNLF). 

what is the deal?

On Dec. 20, IBM said that it "introduced an agreement with Samsung to fabricate 7-nanometer (nm) microprocessors for IBM power techniques, IBM Z and LinuxONE, excessive-performance computing (HPC) systems, and cloud offerings."

in addition, the press unlock claimed that "[today's] announcement additionally expands and extends the 15-year strategic technique expertise R&D partnership between both corporations, which, as a Part of IBM's research Alliance, contains many trade firsts such because the first NanoSheet outfit innovation for sub 5nm, the production of the trade's first 7nm examine chip and the first high-k metallic Gate foundry manufacturing."

What does this imply for IBM and Samsung?

From IBM's standpoint, the trade now has a manageable chip manufacturing companion to aid the chips that vigor its techniques. closing quarter, IBM's techniques enterprise -- which the company says "comprises systems hardware and working techniques application -- generated $1.7 billion in sales, transforming into 1% year-over-year. That represented just 9% of the business's salary within the quarter. 

then again, that section is tremendous satisfactory that IBM goes to want to proceed to support it, and having a legitimate manufacturing associate to construct the microprocessors at the heart of those systems is vital to conserving that enterprise alive.

as far as Samsung is worried, here is incremental enterprise for its compress chip manufacturing arm. youngsters, this is via no means a game changer for Samsung. IBM's complete methods company become $1.7 billion ultimate quarter and simply over $5.4 billion during the first three quarters of 2018. If they weigh on that hasten cost for everything of 2018, it translates into about $7.2 billion in standard device income.

Samsung goes to exist generating income handiest for the manufacture of the main processors in these programs. not best accomplish these methods comprise many other add-ons (chassis, vigor materials, DRAM, storage, motherboards, and so on), however IBM is, naturally, marking up the raw materials prices of those programs to generate profit. 

This deal actually is rarely going so as to add one thousand million bucks or greater to Samsung's coffers and is not finally going to exist a online game changer for Samsung or even Samsung's semiconductor enterprise (which is essentially dominated by using revenue of DRAM and NAND memories), nonetheless it may still pressure incremental income and crude earnings. 

Ashraf Eassa has no residence in any of the stocks outlined. The Motley fool has no residence in any of the stocks mentioned. The Motley idiot has a disclosure coverage.


Samsung Clinches principal IBM compress for 7nm know-how | killexams.com true Questions and Pass4sure dumps

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business had few rivals bar TSMC…

IBM has announced a contend with Samsung on the way to notice the later manufacture 7nm (nanometer) microprocessors for IBM’s products together with its energy programs, IBM Z and LinuxONE, excessive-efficiency computing (HPC) methods, and cloud offerings, in vindication of Samsung’s dedication to the inordinate capex technology.

“The settlement combines Samsung’s business-leading semiconductor manufacturing with IBM’s high-efficiency CPU designs. This mixture is being designed to drive unmatched methods performance, including acceleration, memory and that i/O bandwidth, encryption and compression speed, as well as system scaling”, IBM said.

The deal represents Samsung’s first main compress for 7nm after committing to the technology previous this yr. It totality started production in October the usage of a brand fresh manufacturing way called EUV lithography.

7nm: what's it first rate For?

Samsung claims that compared to its 10nm FinFET predecessors, its 7nm know-how “significantly reduces the system complexity with fewer layers and greater yields” and additionally grants as much as a forty percent boost in enviornment effectivity with 20 percent larger performance or up to 50 percent abate vigor consumption.

Gartner analyst Alan Priestley told laptop company assessment in a title that he become unsurprised via the resolution. He talked about: “There’s very confined option in the sector for IBM. The option changed into in reality Samsung or TSMC. The selection I feel is Intel’s foundry service nevertheless it’s no longer got its equal technology ready yet.”

See also: Intel beaten for First Time in 25 Years

Qualcomm and Mediatek absorb postponed their 7-nanometer launches except 2019, UMC has shifted its investment into “mature” and speciality procedure nodes, and Globalfoundries has do its work within the container on indefinite hold. Intel’s equal 10nm chips are a way far from being market-capable.

Samsung’s leading compete within the 7-nanometer box is TSMC. The trade is presently the sole producer of Apple’s A-series processors, used in iPhones, iPads, and other products.

nowadays’s announcement “expands and extends” a 15-12 months strategic R&D partnership between the two corporations which comprises “many industry firsts such as the first NanoSheet device innovation for sub 5nm, the creation of the industry’s first 7nm verify chip and the first excessive-ok metal Gate foundry manufacturing” IBM referred to.

“we are excited to extend their decade-long strategic relationship with IBM with their 7nm EUV system expertise,” observed Ryan Lee, vice chairman of Foundry advertising at Samsung Electronics, in a release late Thursday.

“This collaboration is an vital milestone for Samsung’s foundry enterprise because it signifies confidence in Samsung’s reducing-edge towering performance EUV system technology.”

Samsung is a member of the OpenPOWER basis, a vendor ecosystem facilitating the structure of IBM vigor structure-based customized servers, networking and storage for future records centers and cloud computing. Samsung is too a member of the Q network to aid enhance the figuring out of functions software in quantum computing for the trade.


C2030-283 Foundations of IBM Cloud Computing Architecture V3

Study guide Prepared by Killexams.com IBM Dumps Experts


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C2030-283 exam Dumps Source : Foundations of IBM Cloud Computing Architecture V3

Test Code : C2030-283
Test title : Foundations of IBM Cloud Computing Architecture V3
Vendor title : IBM
: 39 true Questions

worked difficult on C2030-283 books, however the entire component absorb become on this test manual.
I passed the C2030-283 examination 3 days abate again, I used killexams.Com dumps for buying geared up and i should efficaciously complete the exam with a inordinate score of ninety eight%. I used it for over in keeping with week, memorized totality questions and their solutions, so it absorb turn out to exist effortless for me to impress the proper solutions inside the path of the stay exam. I thank the killexams.Com organization for supporting me with the sort of high-quality training fabric and granting success.


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Foundations of IBM Cloud Computing Architecture V3

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5 Modern Infrastructure Trends To Watch Out for in 2019 | killexams.com true questions and Pass4sure dumps

With the enterprise and public sector accelerating the adoption, cloud has become the fresh norm. From the days of on-demand provisioning of compute and storage to FPGA and GPU-based infrastructure, cloud computing has arrive a long way. Cloud computing has almost reached the tipping point.

Data CenterSource: Pixabay

The innovations from hyperscale infrastructure providers like Amazon, Microsoft, Google, and IBM are going to repercussion enterprise data center. This trend will enable great enterprises to rob advantages of the efficiency and performance achieved by cloud providers. With this trend, the line between on-premises infrastructure and public cloud will salvage blurred.

Here are five trends of modern infrastructure to watch out for in 2019:

The mount of containers & Kubernetes in the enterprise data center

Enterprises are embracing containers at a much faster pace than expected. The thriving open source community combined with the availability of develope commercial offerings has given the confidence to enterprise customers.

Kubernetes has become the front and seat of enterprise container platform. From traditional OS vendors to modern PaaS providers, every major platform vendor has a commercial Kubernetes offering making it the fresh operating system of the data center.

In 2019, expect to notice a meteoric mount of Kubernetes in the enterprise. Containers will redefine the hybrid cloud by bridging the gap between legacy and modern applications and on-premises and public cloud infrastructure.

Google has announced the preview of on-prem GKE that comes with tight integration of its proven Containers as a Service (CaaS) in the public cloud – Google Kubernetes Engine. Microsoft is stirring lickety-split in bringing Azure Kubernetes Service to Azure Stack private cloud platform. IBM is betting on IBM Cloud Private – a hybrid cloud platform based on Kubernetes.

Traditional PaaS has gradually transformed into a container management platform. PaaS industry leaders – Red Hat and Pivotal – absorb embraced Kubernetes as the foundation of their platforms. 2019 will witness the complete transformation of PaaS into CaaS.

The availability of specialized hardware for niche workloads

During the initial days of computing, the software was written for common hardware architecture based on Intel X86 or SPARC. Eventually, Intel became the lowest common denominator for OS vendors and application vendors.

Public cloud has changed the dynamics of hardware and CPU market. To drive the scale of economy and efficiency, hyperscale providers like Amazon, Google, Microsoft, and Facebook started to build custom hardware and processors that complement Intel CPUs.

With niche workloads such as machine learning and high-performance computing becoming the key drivers of public cloud adoption, hyperscale providers are turning to custom hardware to accelerate the performance of the applications.

In 2019, they will notice the trend where custom chips will supersede generic software. The weighty lifting done by software written for virtualization, graphics, and HPC will exist moved to purpose-built hardware that delivers massive performance and efficiency.

Field programmable gate arrays (FPGA) used in Microsoft’s Project Brainwave and proprietary accelerators such as Google Cloud TPU will become more prominent in 2019. They may even become available to power enterprise data centers.

Multi-cloud will no more exist a buzzword

Enterprises are investing in multiple cloud platforms to reduce the risk of vendor lock-in and single point of failure.

Large enterprise customers are using at least two cloud providers when running mission-critical workloads. The common pattern is the expend of object storage for maintaining an additional layer of redundancy. Deploying the DR site in a different cloud platform is too a common expend case of multi-cloud. But these patterns don't deliver the benefits of accurate multi-cloud adoption.

In 2019, they will witness a trend where customers will federate multiple cloud platforms to hasten a distributed workload. They may hasten a legacy transactional database in one cloud platform while running the data warehouse in the other. As cloud providers differentiate themselves with platforms for running niche workloads, customers will pick the best of breed providers to hasten parts of their workload.

Kubernetes will evolve to become the fabric of multi-cloud. Customers targeting Kubernetes as the preferred deployment target will Enjoy the benefits of multi-cloud along with portability.

The next side of DevOps

Two major trends are going to repercussion the current DevOps model – Containers & AI.

Traditional DevOps tools were exclusively designed for provisioning, scheduling, configuring, and managing the lifecycle of virtual machines. Containers brought a different flush of abstraction that eliminated the necessity to manage VMs directly. Concepts such as immutable infrastructure, infrastructure as code, and self-healing applications develop traditional DevOps tools less relevant.

In 2019, they will witness a fresh wave of DevOps companies that deliver efficient CI/CD pipelines, better observability and security of microservices. like other areas of infrastructure, containers are totality set to disrupt the DevOps market.

The application of AI to DevOps will result in AIOps that reduces the necessity for manual intervention. From anomaly detection to root intuition analysis to predictive scaling to intelligent monitoring, AIOps-based technology will become the smart operations tool. It may even supersede L1 and L2 support teams with intelligent automation.

AIOps will become a significant trend of 2019.

The convergence of Containers as a Service and Functions as a Service

Serverless computing is no more a buzzword. It is becoming one of the fastest growing cloud service delivery models. Amazon, Google, IBM, and Microsoft tender serverless computing models in their respective public cloud environments.

Functions as a Service (FaaS) is one of the delivery models of serverless computing in which developers upload code snippets packaged as modular functions. These functions are invoked in response to events generated by a variety of external sources such as databases, storage containers, streams, and even user interfaces. AWS Lambda, Azure Functions, Google Cloud Functions and IBM Cloud Functions are some of the implementations in the public cloud.

In 2019, they will notice two trends – the convergence of CaaS and FaaS, and standardization of FaaS.

Serverless was the most discussed topic at KubeCon 2018 that concluded ultimate week. The industry is coming together to develop Kubernetes the platform for deploying event-driven functions that are invoked in response to internal and external events. Next year, I expect to notice FaaS becoming a first-class citizen in the container world.

There will exist efforts in defining common standards for FaaS that brings portability and interoperability of functions.


IBM Expands Strategic Partnership with Samsung to comprise 7nm Chip Manufacturing | killexams.com true questions and Pass4sure dumps

ARMONK, N.Y., Dec. 20, 2018 — IBM today announced an agreement with Samsung to manufacture 7-nanometer (nm) microprocessors for IBM Power Systems, IBM Z and LinuxONE, high-performance computing (HPC) systems, and cloud offerings.

The agreement combines Samsung’s industry-leading semiconductor manufacturing with IBM’s high-performance CPU designs. This combination is being designed to drive unmatched systems performance, including acceleration, memory and I/O bandwidth, encryption and compression speed, as well as system scaling. It positions IBM and Samsung as strategic partners leading the fresh era of high-performance computing specifically designed for AI.

“At IBM, their first priority is their clients,” said John Acocella, Vice President of Enterprise Systems and Technology development for IBM Systems. “IBM selected Samsung to build their next generation of microprocessors because they share their flush of commitment to the performance, reliability, security, and innovation that will position their clients for continued success on the next generation of IBM hardware.”

Today’s announcement too expands and extends the 15-year strategic process technology R&D partnership between the two companies which, as Part of IBM’s Research Alliance, includes many industry firsts such as the first NanoSheet Device innovation for sub 5nm, the production of the industry’s first 7nm test chip and the first High-K Metal Gate foundry manufacturing. IBM’s Research Alliance ecosystem continues to define the leadership roadmap for the semiconductor industry.

“We are excited to expand their decade-long strategic relationship with IBM with their 7nm EUV process technology,” said Ryan Lee, Vice President of Foundry Marketing at Samsung Electronics. “This collaboration is an vital milestone for Samsung’s foundry trade as it signifies confidence in Samsung’s cutting-edge towering performance EUV process technology.”

Samsung is a member of the OpenPOWER Foundation, a vendor ecosystem facilitating the development of IBM Power architecture-based customized servers, networking and storage for future data centers and cloud computing. Samsung is too a member of the Q Network to aid further the understanding of applications software in quantum computing for the industry.

Source: IBM


Samsung Clinches Major IBM compress for 7nm Technology | killexams.com true questions and Pass4sure dumps

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Company had few rivals bar TSMC…

IBM has announced a deal with Samsung that will notice the later manufacture 7nm (nanometer) microprocessors for IBM’s products including its Power Systems, IBM Z and LinuxONE, high-performance computing (HPC) systems, and cloud offerings, in vindication of Samsung’s commitment to the towering capex technology.

“The agreement combines Samsung’s industry-leading semiconductor manufacturing with IBM’s high-performance CPU designs. This combination is being designed to drive unmatched systems performance, including acceleration, memory and I/O bandwidth, encryption and compression speed, as well as system scaling”, IBM said.

The deal represents Samsung’s first major compress for 7nm after committing to the technology earlier this year. It started production in October using a fresh manufacturing process called EUV lithography.

7nm: What is it edifying For?

Samsung claims that compared to its 10nm FinFET predecessors, its 7nm technology “greatly reduces the process complexity with fewer layers and better yields” and too delivers up to a 40 percent extend in region efficiency with 20 percent higher performance or up to 50 percent lower power consumption.

Gartner analyst Alan Priestley told Computer trade Review in a convoke that he was unsurprised by the decision. He said: “There’s very limited selection in the sector for IBM. The selection was basically Samsung or TSMC. The alternative I suppose is Intel’s foundry service but it’s not got its equivalent technology ready yet.”

See also: Intel Beaten for First Time in 25 Years

Qualcomm and Mediatek absorb postponed their 7-nanometer launches until 2019, UMC has shifted its investment into “mature” and speciality process nodes, and Globalfoundries has do its work in the field on indefinite hold. Intel’s equivalent 10nm chips are some way away from being market-ready.

Samsung’s main compete in the 7-nanometer field is TSMC. The company is currently the sole producer of Apple’s A-series processors, used in iPhones, iPads, and other products.

Today’s announcement “expands and extends” a 15-year strategic R&D partnership between the two companies which includes “many industry firsts such as the first NanoSheet Device innovation for sub 5nm, the production of the industry’s first 7nm test chip and the first High-K Metal Gate foundry manufacturing” IBM said.

“We are excited to expand their decade-long strategic relationship with IBM with their 7nm EUV process technology,” said Ryan Lee, Vice President of Foundry Marketing at Samsung Electronics, in a release late Thursday.

“This collaboration is an vital milestone for Samsung’s foundry trade as it signifies confidence in Samsung’s cutting-edge towering performance EUV process technology.”

Samsung is a member of the OpenPOWER Foundation, a vendor ecosystem facilitating the development of IBM Power architecture-based customized servers, networking and storage for future data centers and cloud computing. Samsung is too a member of the Q Network to aid further the understanding of applications software in quantum computing for the industry.



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