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000-207 - High End Taps Solutions Version 5 - BrainDump Information

Vendor Name : IBM
Exam Code : 000-207
Exam Name : High End Taps Solutions Version 5
Questions and Answers : 218 Q & A
Updated On : November 16, 2018
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000-207 exam Dumps Source : High End Taps Solutions Version 5

Test Code : 000-207
Test Name : High End Taps Solutions Version 5
Vendor Name : IBM
Q&A : 218 Real Questions

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IBM IBM High End Taps

army faucets GTSI, IBM for high-conclusion Computing Pact | killexams.com Real Questions and Pass4sure dumps

military faucets GTSI, IBM for top-conclusion Computing Pact

army faucets GTSI, IBM for high-conclusion Computing Pact

by means of Jennifer Freer, group of workers author

AUG. 31 -- The military Communications and electronic Command awarded GTSI Inc. of Chantilly, Va., and IBM Corp. of Armonk, N.Y., contracts for its Maxi-Minis and Database-1 application. The contract has a ceiling of $857 million for GTSI and $618 million for IBM.

the two agencies now will compete with each other to win company under the indefinite delivery, indefinite volume contract, which has a two-yr base period with three one-12 months alternatives.

The businesses will deliver high-end industrial, off-the-shelf servers, work stations, operating techniques, compilers, utility purposes, native- and vast-enviornment networking, engineering and help features, managed atmosphere aid, machine maintenance, device enhancements, practicing and leasing.

"this is the biggest contract in GTSI's history," stated Dendy younger, GTSI chairman and chief government. "MMAD-1 plays to our strength within the excessive-conclusion Unix computing environment and affirms our position as a number one provider of integrated, high-conclusion products and functions."

The contract turned into awarded with the aid of the military, but the Navy and the interior revenue service also may be valued clientele. The companies worked together to boost the terms of the contract, which is open to all federal corporations and contains overseas defense force revenue.


IBM scores another Lab Win With 'Sierra' going online At Lawrence Livermore national Labs | killexams.com Real Questions and Pass4sure dumps

With its Power9 expertise, IBM has been on a roll within the HPC section. We’ve been masking these efforts radically at Moor Insights & method, from IBM’s partnership with Google and the department of power to Power9 powering the Summit supercomputer . Now IBM has announced an extra lab announcement with “ Sierra ,” a joint supercomputer challenge with the U.S. department of energy’s countrywide Nuclear security Administration (NNSA) and the Lawrence Livermore countrywide Lab (LLNL). Let’s take a closer seem.

The particulars

Sierra is being hailed because the sister equipment to the IBM POWER9-primarily based “Summit,” and it replaces the old “Sequoia” supercomputer (which best makes use of CPUs). Sierra is presently ranked because the third-fastest supercomputer in the world, and it became introduced closing week that the gadget is now operational and within the closing trying out earlier than “acceptance.” Acceptance is a time period used by means of the U.S. executive saying to IBM “you delivered what we requested and paid for.” it'll serve the NNSA’s three nuclear protection laboratories, which, moreover LLNL, include Sandia countrywide Laboratories and Los Alamos national Laboratory.

IBM says this computing device is about 1 million instances greater potent than a excessive-end computer and developed from the ground up (like Summit) for usual HPC and future AI applications. Its footprint spans 7,000 square toes, and it's made from 4,320 nodes on 240 computing racks. every node of the supercomputer includes two IBM POWER9 CPUs and four NVIDIA V100 GPUs, making Sierra the NNSA’s first massive-scale production heterogenous equipment. It claims an fabulous top efficiency of 125 PetaFLOPS, or one hundred twenty five quadrillion floating-aspect operations per 2nd. This places it leaps and bounds forward of Sequoia’s efficiency—doubtlessly 6-10 instances extra effective if you happen to aspect in its proper AI efficiency.

additionally, Sierra is backed with the aid of 154 petabytes of IBM Spectrum Scale storage, unfold across 24 racks of Elastic Storage Servers. in keeping with LLNL, the device gives you 1.54 terabytes per 2d (in each study and write bandwidth) efficiency and is able to managing an superb a hundred billion files per every file system. The Spectrum Scale allows for the gadget to fulfill scaling demands.

LLNL partnered closely with IBM and NVIDIA no longer most effective on the hardware however the application stack and helped optimize the heterogeneous gadget’s efficiency through prep work on applications and establishing optimized code. LLNL has additionally purportedly been working carefully with the all rightRidge national Laboratory, the place the Summit supercomputer is housed, which makes sense and joyful to see because the budget all comes from U.S. taxpayers.

applications

Sierra can be put to make use of in opposition t national protection—NNSA’s Stockpile Stewardship program, ongoing existence extension classes, weapons science, and nuclear deterrence. All here is code for performing nuclear and nuclear defense simulations, casting off the deserve to verify nuclear bombs in the middle of the desert or underground. It’s essential to note that that Sierra will even be put to make use of for different scientific research benefitting society. The LLNL says Sierra will be utilized in projects equivalent to melanoma drug research, precision medicine, seismology, local weather, astrophysics, materials science, and extra.  This makes perfect feel as Sierra is the third fastest supercomputer on the earth regarding basic HPC performance.

Why this concerns

I applaud IBM for not forsaking its nation’s protection in its time of need like other know-how businesses have. I discover it ironic that Google, who merits from the freedoms the U.S. armed forces has supplied it, is stepping faraway from supporting our nation’s protection and its residents.

All in all, here's yet another solid HPC operational win for IBM’s POWER9. I even have known as the POWER9 structure the “Swiss military knife” of acceleration and because it is the most efficient compute acceleration platform with aid for five other ways to speed up, even in a reminiscence coherent method. For some functions, coherency is crucial as it makes the accelerator (GPU, FPGA, ASIC, and so forth) an equal citizen for reminiscence access, which simplifies software construction and minimizes latency. This should mean faster efficiency and sooner app time-to-market.

Financially, this is a win, too.  together, the deal IBM reduce with the DOE changed into value over $300 million—a host that IBM says contributed to IBM’s Cognitive programs 17% Q3 earnings increase this year.

apart from the financials, it’s also just great optics for its POWER9-based mostly enterprise line. IBM is using this same AI-optimized structure in Sierra in its company product line, the usage of the IBM AC 922 POWER9-based mostly server family. What commercial enterprise wouldn’t need to say they employ the know-how at the back of two of the strongest supercomputers on this planet to resolve their company issues?

note: Moor Insights & strategy writers and editors may have contributed to this article.  

Disclosure: Moor Insights & approach, like any analysis and analyst businesses, gives or has provided paid research, evaluation, advising, or consulting to many excessive-tech groups within the trade, together with advanced Micro devices, Apstra, ARM Holdings, Bitfusion, Cisco programs, Dell EMC, Diablo technologies, Echelon, Ericcson, body, Gen Z Consortium, Glue Networks, GlobalFoundries, Google (Nest), HP Inc. HewlettPackard enterprise, Huawei technologies, IBM, Jabil Circuit, Intel, Interdigital, Konica Minolta, Lenovo, Linux basis, MACOM (applied Micro), MapBox, Mavenir, Mesosphere, Microsoft, countrywide gadgets, NOKIA (Alcatel Lucent), Nortek, NVIDIA, ONUG, OpenStack basis, Peraso, Portworx, Protequus, Pure Storage, Qualcomm, Rackspace, Rambus, red Hat, Samsung applied sciences, Silver height, SONY, Springpath, sprint, Stratus applied sciences, TensTorrent, Tobii know-how, Synaptics, Verizon Communications, Vidyo, Wellsmith, Xilinx, Zebra, which may be mentioned listed here.  


IBM/purple Hat - The Calculus Of The Cloud Stays The equal | killexams.com Real Questions and Pass4sure dumps

1.0 government summary

Getting right to the element, I’m skeptical that the pink Hat (RHT) acquisition is going to be significant over the long-time period for IBM’s (IBM) business or share price. I worry that purple Hat may additionally finally end up being IBM’s (extra precisely Ginni Rometty’s) “Compaq”, as in Hewlett-Packard’s (NYSE:HPE) questionable purchase of that enterprise years ago.

The argument that the “sum” of IBM + RedHat is more than the particular person ingredients isn't peculiarly strong for my part. i'm struggling to be aware the exciting cost proposition provided by means of the combined agencies after reading the transcript of the analyst convention name that adopted the announcement. certainly, the customary thought that the joint technology stacks by some means radically exchange the “calculus of the cloud” just doesn’t make feel to me. thus, whereas some analysts have expressed difficulty over the $34 billion rate tag, my center of attention here is specially on IBM’s know-how arguments and market chance arguments used to justify the purchase.

As a disclosure, I took place to get rid of my final position in IBM in October of this yr, as I all started shedding shares a short time after I wrote IBM – A Turning or Sinking Ship in 2017. I additionally worked for IBM years in the past in the programs management division, long before the word “cloud” existed in the terminology of average tips expertise.

within the sections that observe, any referenced quotes are pulled from the seeking Alpha transcript of IBM and pink Hat’s analyst convention call which adopted the acquisition announcement, until otherwise mentioned. I’m additionally attaching the transcript to this document for convenience.

2.0 WHICH CLOUD IS IT

Ginni Rometty notes that “[IBM] can be the undisputed quantity [1] chief in hybrid-cloud….[with the acquisition of] crimson Hat, the world’s leading provider of open-cloud solution[s] and the emerging leader within the platform for hybrid-cloud and multi-cloud.” Ms. Rometty, and different individuals on the analyst call, use “hybrid-cloud” and “multi-cloud” terminology a little interchangeably; however, I feel some definition is beneficial so as to add some precision to our evaluation.

Wikipedia provides a nice, succinct definition of multi-cloud:

Multi-cloud is using multiple cloud computing and storage capabilities in a single heterogeneous architecture.

We word that in a multi-cloud structure, the clouds can be public, deepest, or some combination of each.

And right here is IBM’s definition of “hybrid-cloud”:

A hybrid cloud uses a private cloud groundwork combined with the strategic integration and use of public cloud features.

So, a hybrid-cloud makes use of at the least one private cloud, along with at least one public cloud and for this reason is exceptionally characterised by a private-public architecture. we are able to then believe of a hybrid-cloud as a sort of a multi-cloud.

Multi-Cloud and Hybrid-Cloud Diagram

source: Yves Sukhu

This distinction is a little bit essential on account that IBM stresses its ability to mainly capture a big share of the growing to be hybrid-cloud architecture market by way of purple Hat’s applied sciences.

3.0 QUESTIONABLE ASSUMPTIONS

With our definitions in hand, let’s determine why IBM is doing this deal. for my part, the motives expressed on the analyst call boil all the way down to an acquisition predicated upon three main assumptions:

  • collectively, there is a different synergy between IBM and pink Hat’s know-how stacks such that the mixture provides amazing differentiation in the areas of hybrid-cloud and multi-cloud computing versus competing solutions from the likes of AWS (AMZN), Microsoft Azure (MSFT), Google Compute (GOOG), and so on.
  • Hybrid-cloud and multi-cloud computing options will (possible) drive higher deal sizes and be extra ecocnomic for IBM, with many commercial enterprise shoppers simply starting to movement the majority of their applications to heterogeneous cloud architectures.
  • The hybrid-cloud market is going to be worth $1 trillion.
  • without doubt, any flaws in these assumptions would weaken the premise for the deal itself. Let’s determine every.

    three.1 FIRST ASSUMPTION: anything OPEN, whatever wonderful?

    Ginni Rometty presents traders here client requirement as a groundwork for the marriage with red Hat:

    “…The #1 thing [customers are] saying to us is, whats up, we – these different clouds, they’re proprietary. We need an open solution [with] no lock-in. So circulate it across assorted cloud environments without a lock-in, [that’s] what both of us do together…and then they say, it has acquired to address data security in a multi-cloud environment after which supply us a way to manage a multi-cloud environment.”

    There are just a few things to unpack here. Ms. Rometty suggests that “different” clouds are proprietary and there's a client requirement for “an open solution”. I don’t precisely take note what she’s getting at right here. She implies within the quote that valued clientele get “locked in” with (certain) cloud environments; but, instead, these customers are looking to be in a position to flow their functions effectively from cloud to cloud. i am scratching my head as a result of what Ms. Rometty’s “consumers” are calling lock-in appears to be regarding their application structure, and never the cloud environment they are running on. A poorly designed cloud application will be difficult to circulate no be counted what cloud it is running on. The converse is also true: a neatly-designed cloud utility could be handy(ier) to move from one cloud to an extra. I imagine many readers are widely wide-spread with the theory and know-how of containers, comparable to Docker. For readers that may well be unfamiliar with the term, I present an easy if a little imprecise explanation: containers provide a method to equipment the entire “parts” that an utility should run:

    Illustration of Container theory

    supply: Docker/Datamation

    As we see in the illustration above, a container can “contain” whatever an utility must function. In just a little of an over-simplification, if we are looking to move a containerized-utility from one cloud to a different, we simply “raise” the container up from its present cloud and drop the container on the new cloud. Readers who can also now not be generic with Docker and its container know-how might have an interest to notice that it begun as, and is, an open-source application assignment; the company also raised capital in late 2017 at a $1+ billion valuation.

    So, increasing on the utility of containers:

    “traditionally, functions or workloads often had to be rebuilt earlier than they may be migrated to a further ambiance. The solution to this is container expertise. considering containers are remoted from neighboring containers and include everything they need to run the software, you could simply circulation them to a further [cloud] atmosphere devoid of compatibility issues.”

    supply: Kumina

    As this Datamation article notes, “it changed into…the…clients [of cloud services] who demanded that this know-how exist within public clouds that drove the [container] innovations that now exist.” In different phrases, users desired a less complicated strategy to package and move their purposes between clouds; and that in flip spurred the public cloud providers (AWS, Azure, Google, IBM, and many others.) to provide container deployment facets and functions.

    One final factor to make about containers is that purposes may additionally include several containers, wherein case container orchestration software is used to automate and simplify the administration of all these containers. Kubernetes, a different open-source undertaking originally all started at Google, is without doubt one of the ordinary orchestration systems (with Docker Swarm for instance of a different).

    Coming lower back to Ms. Rometty’s factor that valued clientele don’t wish to be “locked in” and as a substitute are looking to be able to stream applications throughout distinct cloud environments, they (customers) can definitely do this these days if they design and set up their functions appropriately, with containers for instance of one expertise that may also be somewhat useful. She, in fact, makes this very point mentioning “…[We] had been constructing and we now have been very concentrated on hybrid and multi-cloud…in accordance with open technologies. So we’ve constructed on containers, Kubernetes…[and] multi-cloud supervisor turned into just announced remaining week…” but, let’s be clear: the different main cloud service providers (e.g. Amazon, Microsoft, and so on.) additionally present container and container orchestration functions. for that reason, the IBM Cloud is not merely differentiated on this point; yet, with the pink Hat acquisition, IBM does gain purple Hat OpenShift which presents cost-added performance developed round Docker and Kubernetes. while there became no targeted dialogue on the analyst call, possibly IBM believes that its latest container management and cloud administration services should be augmented in such a means by using OpenShift as to leapfrog the competition when the use of the “married” technologies for multi-cloud environments. however, if that’s real, why not notably speak about the capabilities that the combined agencies can have that might be superior to others?

    Frankly, it looks to me that IBM’s latest cloud capabilities introduced to OpenShift aren't going to be a large “online game changer”. firstly, any integration between IBM’s cloud technology stack and purple Hat’s will take some time; time which competitors will certainly use to their talents to be sure they don't seem to be left in the back of. 2nd, I’ve already cited that OpenShift is in accordance with Docker and Kubernetes which ability crimson Hat’s price-add is built across the identical core used with the aid of many others; however, the competitors has and will continue to increase equivalent price-delivered choices as smartly. Third, if there was some “killer” set of cloud functionalities that the combined stacks would generate, I’d like to consider the corporations would have made that clear; however they haven't (at least no longer yet). Fourth, there's nothing that “ties” OpenShift to the IBM Cloud; consider that red Hat’s own OpenShift deployment “choices” page – which I captured shortly after the deal announcement – really highlights AWS as a deployment platform:

    pink Hat OpenShift Deployment Tiers

    supply: red Hat

    Now, purple Hat additionally presents OpenStack, in accordance with one more set of open-source technologies, which may also be used via corporations to build out their personal inner most clouds and has synergy with Ansible, red Hat’s language for DevOps. OpenStack hence helps IBM’s initiatives around hybrid-cloud deployments. besides the fact that children, as with OpenShift, I’m now not absolutely convinced that placing this solution beneath an IBM umbrella is going to result in a tremendously differentiated providing, nor to a unexpected acceleration of private cloud adoption among business valued clientele. First off, IBM already had its own solution stack in this enviornment, IBM Cloud private. seeing that IBM expressed such bullish sentiment in regards to the hybrid-cloud market on the analyst name, I’m definitely a bit stunned this specific answer providing become no longer mentioned during the name. Assuming the hybrid-cloud enviornment is as “hot” as IBM suggests, one might predict that IBM private Cloud has been promoting neatly; why now not name attention to the technology then? here is perhaps a refined point and could be an improper extrapolation on my part, however leads me to wonder if the hybrid-cloud market is as mighty as IBM suggests it's, and will be. also as the up to now linked article notes, IBM is not on my own with an providing right here, nor were they “first” to market with one. Microsoft added Azure Stack over a 12 months earlier than IBM introduced its competing solution to market. IBM might argue that Azure Stack, for instance, is proprietary whereas their open-supply platform gives purchasers the entire freedom and merits that open-source options provide. It’s a profitable argument, and it may greater strongly support Ms. Rometty’s remark that customers don’t want to be locked-in. in spite of everything, with an open-source-based mostly inner most cloud platform, a client can adjust and extend it as they need, which without doubt is not possible to the equal extent with a closed answer. it might had been advantageous if IBM offered some facts points to bear in mind if a fashion towards open-supply exists inside the hybrid-cloud market, and in particular for personal-cloud deployments. in the absence of particulars, i'm left slightly skeptical that pink Hat OpenStack is going to materially exchange the “power” of IBM’s hybrid (private/public) cloud offering.

    If we tie all of this again to Ms. Rometty’s quote firstly of the area, it looks to enhance that consumer comments round “an open [cloud] solution and not using a lock-in” look a little bit invalid when considering the applied sciences (e.g. containers, orchestration) that have already developed to deliver cloud clients with the utility portability that they want. The comment has enhanced validity when one considers the architectural percentages of a private cloud inside a hybrid-cloud atmosphere; but, as I argue above, there seems to be a lack of statistics which would imply customers lean toward non-proprietary (e.g. open-supply-based mostly) deepest cloud deployments.

    To summarize, I don’t (presently) see the rest in fact exciting that emerges through a combination of the two companies’ cloud stacks. To be fair, the businesses need time to develop tightly built-in options, and IBM is yet to apply the vigor of its development organization in opposition t red Hat’s technologies. but, if I’m right that “there isn't a great deal to look right here” when it comes to the joint stacks, this perception would, of route, without delay undermine Ms. Rometty’s suggestion that the two corporations could be a transparent chief, especially in hybrid-cloud solutions.

    three.2 2d ASSUMPTION: customers are only GETTING begun

    Ms. Rometty mentions, greater than as soon as, that we are coming into a second part of cloud adoption (“chapter 2” as she calls it). in the first part, valued clientele moved their “least difficult” workloads to the cloud with a value-reductions focus. These workloads represented the well-known Pareto-rule 20% of consumer applications; and as a consequence, 80% of functions continue to be to be transitioned to the cloud. Ms. Rometty states:

    “[Customers have] obtained to movement [these remaining 80% of applications]. They either must rewrite, refactor, decide what goes where, comfy the statistics. These are inhibitors that cease them from going [to the cloud]. So here's simplest going to be carried out this circulate to the 80%, in case you can stream facts and purposes throughout numerous cloud[s], make that moveable…”

    She continues…

    “but here is an inflection factor, and if [customers are] going to get past that and circulate the other 80% which is set all their processes and their facts they need what we’re going to offer together, this potent ambiance. And so this 80% is…about…unlocking company value…the general valued clientele has a thousand application[s] and the regular client already has 5…that we see some as many as many as sixteen clouds.”

    the primary remark, “[customers have] obtained to flow…”, is value debating. logic tells us that no longer all applications are always a superb fit for a cloud deployment for any number of motives: required dependencies don't seem to be readily replicated in a cloud atmosphere, security concerns, lack of can charge-rate reductions, and so forth. So, consumers certainly would not have to movement the bulk of their functions to a cloud structure. however, most likely Ms. Rometty is playing a little together with her words, and is asserting with a little bit of “dressing” that the trend toward cloud adoption will continue…which it evidently will.

    however, I believe there is room to problem what she says within the next few statements. She explains that “[customers] either need to rewrite, refactor, decide what goes the place…” certainly, IBM and other know-how suppliers will, as they have already got, be afforded with alternatives to support purchasers migrate definite purposes to cloud environments. That’s good information for IBM’s very significant carrier business, and there is reason to suppose the capabilities community will advantage a bit of from the red Hat buy. These opportunities just about actually grow in scope and profits/profit competencies to the extent that these functions are migrated to enormously disbursed fashions running on (might be) heterogeneous cloud platforms (e.g. multi-cloud). So, I suppose Jim Kavanaugh, IBM’s CFO, accurately brought up that “[distributed cloud solutions] speeds up our combine shift to greater price...and is accretive to our gross earnings margin…”

    but, there is a counter-argument to consider here. in place of rewriting/refactoring present legacy applications, customers might also in its place pick out “off-the-shelf” solutions (SaaS or in any other case) which may additionally show to be more comparatively cheap, up to date, and easier to keep. for example, Salesforce.com (CRM) and Workday (WDAY) actually didn’t achieve their market penetration as a result of valued clientele opted to redecorate any homegrown CRM and HR purposes respectively. sadly, IBM doesn’t discuss the COTS strategy and its expertise influence on their projections for starting to be their cloud connected revenues.

    moving to IBM’s declare that multi-cloud environments may be more regular sooner or later, as per Ms. Rometty’s remark that “the typical customer already has 5 [clouds]…”, there is some information to backup what the business is announcing here: a TechRepublic survey from 2017, as an instance, stated that the majority of organizations surveyed had already adopted a hybrid-cloud architecture. however, we comprehend that IT tends to stream in cycles. suppose about what took place with the client-server computing paradigm the place “server sprawl” eventually gave technique to server explanation and a push for homogeneity among methods. Is it no longer possible that we might also see anything similar with cloud, the place valued clientele “wake up” sooner or later and ask themselves why they have 5 clouds once they could be able to operate with 1? believe one of the crucial leading requirements for the Pentagon’s latest $10 billion JEDI cloud challenge: they're (for the moment) insistent that the project award and linked computing workloads will go/run on a single cloud. As readers may additionally understand, IBM is among the bidders on the mission and formalized their objection to the government Accountability office (GAO) for the requirement of a homogenous cloud environment. Assuming the Pentagon receives its manner and is successful with its deployment, if the department of defense (DOD) can operate on a single cloud, then why does a given enterprise need upwards of sixteen clouds (using the “excessive” example from IBM’s quote)?

    The overarching theme right here is that Ms. Rometty’s place that the “final” eighty% of legacy customer purposes are just waiting to be moved right into a multi-cloud environment has vulnerable facets. besides the fact that it were strong, I’m no longer sure IBM mandatory to spend $34 billion on red Hat to seize these alternatives. I already argued in the old section that IBM had current capabilities in the same cloud know-how areas the place crimson Hat operates. If we suppose about Ms. Rometty’s remark about “rewriting/refactoring”, what does red Hat offer right here that IBM doesn't have already got? here's work that sits squarely in the domain of IBM’s functions community; a gaggle that may “plug in” purple Hat’s expertise, or another cloud expertise, where it makes experience in accordance with client requirements.

    however, the crimson Hat acquisition aside, if it turns out that multi-cloud architectures finally “cut back” to less difficult, single cloud environments which supply sufficient robustness and reliability to meet most client requirements, then this “cloud rationalization” may have a dramatic impact on IBM’s correct-line and bottom-line boom forecasts seeing that the business is tying each metrics specially to its possibility with “high-price” multi-cloud solutions.

    three.3 THIRD ASSUMPTION: IS $1 TRILLION FOR HYBRID-CLOUD functional?

    Ms. Rometty asserts that the market for hybrid-clouds will grow to over $1 trillion. She states:

    “And to lead within the second chapter, here's going to be about hybrid-cloud. In hybrid-cloud is an rising $1 trillion market…I mean what we did was appear and we see a scale of a $1 trillion market…We pointed out to ourselves and invariably stored announcing: What can we do more desirable to handle the wants of our purchasers? How can we speed up our ability to go after that? And figuring out and there’s basically a vital factor, figuring out that Linux is the quickest growing platform out there. And this simply this 12 months, it became the no 1 platform both on-prem and in the cloud.”

    right through the analyst call, there changed into no mention of exactly when the marketplace for hybrid cloud is expected to reach $1 trillion in value, nor the CAGR for this specific segment of the common cloud market. I struggled to locate respectable records in help of IBM’s projection here, however Market analysis Media presents a forecast of $1 trillion for the complete cloud market by means of 2024. interestingly, the Market analysis Media report synopsis highlights the quick turning out to be/excessive precedence technology segments inside the cloud market, however multi-cloud and hybrid-cloud are not outlined in that context. this article, which was referenced in section 3.1, charges IBM in 2017 as saying “they expect businesses to spend more than $50 billion a 12 months global beginning [in 2017] to develop private clouds, with the boom cost hitting 15 to twenty % a 12 months through 2020.” the use of those figures as a proxy for the usual hybrid-cloud market, it could without doubt take quite some time to reach $1 trillion in complete cost even on the excessive conclusion of the growth latitude.

    One component technology leaders seem to be peculiarly first rate at is arising with very tremendous numbers when describing their complete addressable market (TAM). Admittedly, I’m now not certain if IBM’s estimate is functional right here or no longer considering that…who really knows right now how huge the hybrid-cloud market may develop into? In guide of IBM’s forecast, the up to now mentioned article notes that “previous [in 2017], IDC analysts released a survey that indicated that practically eighty p.c of massive companies with 1,000 or greater personnel have already got a hybrid cloud method in region. in addition, fifty one.four p.c are using each public and personal cloud infrastructures, and 29.2 % expect to do the same inside the next yr.” These metrics are effective to assist IBM’s argument, however they may also be interpreted to suggest that most big clients have already got a hybrid-cloud in location, and for that reason new hybrid-cloud deployments might in reality reduce relocating ahead. extra, if we don't forget the dialogue in part three.2 round shoppers determining COTS/SaaS functions, as smartly as the possibility that single cloud architectures may subsequently set up themselves as the dominant mannequin, then it’s imaginable that a $1 trillion hybrid-cloud market may not materialize.

    four.0 CONCLUSION

    “Whoa” become supposedly Steve Ballmer’s (former Microsoft CEO) response upon hearing in regards to the IBM-crimson Hat deal. possibly that single observe most appropriate describes the latest sentiment of many others.

    The main thrust of what I’ve presented in this article is that i am nonetheless struggling to bear in mind what key technologies IBM gets with pink Hat that they didn’t have already got, and why they felt they mandatory to spend 1/3 of their market cap on an organization that is barely generating just a few hundred million in cloud answer salary (however their growth fee is excessive). still, the “math” doesn’t add up for me, although most likely it will in time as IBM and crimson Hat better clarify their entertaining cost proposition.

    Readers may also rightfully factor out that I’ve overlooked the possibilities for crimson Hat Linux and their middleware stack under IBM in my analysis. In regard to the latter, I believe IBM’s possession of red Hat’s middleware stack is likely to create some confusion, as a minimum within the brief time period. IBM and pink Hat will absolutely should work out the way to place WebSphere versus JBoss. And as other authors have counseled, pink Hat commercial enterprise Linux (RHEL) could at last supplant AIX as IBM’s de facto UNIX distribution. The connected migration work would possibly power a good quantity of know-how and assist functions. Ms. Rometty mentioned in one of the prior to now outlined prices that Linux is the fastest transforming into operating gadget in the cloud and on-premise. but, notice that she didn't say that RHEL is the quickest growing Linux distribution. To that end, there is a few records suggesting that Ubuntu is turning out to be sooner within the commercial enterprise Linux section. without extra facts from IBM and crimson Hat, it’s truly quite difficult to quantify the influence of pink Hat’s Linux and JBoss product units to IBM over the long-term.

    As outlined, I predict that IBM and red Hat will deliver enhanced readability on the strategic cost-add of the 2 organizations as we flow into 2019, and the way they intend to combine their stacks to stronger compete towards the likes of AWS, Microsoft, and Google. i am hoping they do; as a result of obviously investors will send the stock lower (than it already is) if most turn into satisfied the sum of the groups lacks incremental price. Yet, at the same time as IBM/pink Hat supply extra details to the market, as I’ve outlined herein there are a couple of counter-arguments which undermine the assumptions that this deal relies upon. in my view, the calculus of the cloud stays the equal for the time being.

    aiding files

    ibm_redhat_acquisition_transcript.pdf

    Disclosure: I/we don't have any positions in any stocks outlined, and no plans to initiate any positions within the subsequent 72 hours.

    I wrote this text myself, and it expresses my own opinions. i'm not receiving compensation for it (aside from from searching for Alpha). I haven't any company relationship with any enterprise whose inventory is outlined in this article.




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    RingRevenue lands $3.5M from GRP, Rincon, Great Pacific to tap high-end ad market | killexams.com real questions and Pass4sure dumps

    RingRevenue logoTuesday’s announcement from RingRevenue that it had closed a $3.5 million round for its “pay-per-call platform designed for affiliate networks” left me with two questions: First, what’s a pay-per-call platform? Second, why is GRP Partners, a firm that’s taken 15 companies from early stage to billion-dollar-plus exits — Starbucks, Costco, Overture, etc — plinking with a $3M round? It’s because online marketing only attracts one-tenth of the total $300 billion spent annually on advertising in America. RingRevenue plans to open the door to selling higher-priced items online, and then quietly take a cut of the action.

    A flow chart of how RingRevenue helps affiliate networks

    First, the product: Affiliate marketing is a form of online advertising in which the advertiser only pays the publisher for results — a purchase, not just an ad view or a click. It’s the priciest form of advertising because it has the highest return.

    A quickie tutorial on online advertising

    There are several standard categories of online marketing and advertising. From least to greatest effectiveness and price:

  • Cost per Impression or CPM (“cost per mille,” bad French for one thousand ads served), in which advertisers pay solely to get their message in front of an Internet or phone user. It costs the same even if the user ignores it.
  • Cost per Click (CPC) — The advertiser pays only when a user clicks on an ad.
  • Cost per Lead — The ad buyer pays for the name and contact info of a prospective buyer, like in the movie Glengarry Glen Ross, except they collect the names online.
  • Cost per Action (CPA) — The advertiser only pays if a sale is made. This is the game in which RingRevenue plays.
  • The problem with CPA advertising: Customers shop online, buy offline

    CPA advertising is a boutique business, even when mass-aggregated online. The ad buyer only pays when, for example, a Web user buys a washing machine. But many, maybe most buyers of pricier items (it depends who you ask) want to talk to a human being when it’s time to make the purchase. They’re not going to buy a $4,000 treadmill with three clicks, even though they can.

    Affiliate marketing works like this

    Commisson Junction, operator of the world’s largest affiliate marketing network and the first announced RingRevenue user, has a tidy primer on what they do:

    Affiliate marketing is an online advertising channel in which advertisers (online merchants that sell products or services) pay publishers (independent parties that promote the products or services of an advertiser on their Web site) only for results, such as a visitor making a purchase or filling out a form, rather than paying simply to reach a particular audience. This “pay-for-performance” model is in essence the modern version of the “finders’-fee” model, where individuals who introduce new clients to a business are compensated. The difference in the case of affiliate marketing is that advertisers only pay their publishers when the new client introduction results in a sale or a lead, making it a low-risk, high-reward environment for both parties.

    Advertisers in our network, the CJ Marketplace, populate their ad links in the interface, making them available for placement by publishers. Each link is assigned a commission, such as a fixed amount per lead or a percentage of a resulting sale on the advertiser’s Web site. Publishers looking to monetize their traffic apply to join an advertiser’s program. Upon acceptance, the publishers select and place the advertiser’s links on their Web sites, in their email campaigns or as part of search listings.

    When a consumer clicks on a publisher’s link, a cookie is set on the visitor’s browser that identifies the advertiser, the publisher, and the specific link and payment rates. When the visitor makes an actual purchase online or fills out a form, that transaction is tracked and recorded by Commission Junction. Upon recording the transaction, Commission Junction handles all of the collection and processing required to ensure fair and timely commission payment for the publisher, and all of the administration and verification necessary to ensure quality sales and leads for the advertiser.

    The problem is simple: How do you tie the customer’s online research session with the phone call they made to buy the product? RingRevenue to the rescue! The company provides a behind-the-scenes (“white label” in industry jargon) technology solution that tracks the calls as surely as if they were clicks to sales pages. The trick is to use thousands of toll-free numbers for each campaign. The phone number serves as an identifier for the customer, who gets it from a website that carries an ad served by Commission Junction and tracked by RingRevenue.

    Why is GRP funding RingRevenue? “The affiliate market today represents about $2 billion in total fees a year,” GRP partner Mark Suster told me from his cellphone. While online advertising draws about $30 billion a year ($20 billion of that from Google), the offline ad market is nearly 10 times bigger. RingRevenue’s plan is to enable Commission Junction and other affiliate networks (RingRevenue claims three more big partnerships will soon be announced) to tap that market and drag it online, by connecting online CPA campaigns to human-powered call centers. Affiliate marketing currently sells about $10 billion annually in goods and services. RingRevenue’s business plan is to grow that market and take a big fat cut.

    RingRevenue CEO Jason SpievakSuster says the obvious reason to back RingRevenue against competitors like Marchex and AT&T’s Ingenio is the management team. CEO Jason Spievak (pictured), Colin Kelly, Rob Duva and Scott Herman are 6-10 year veterans of Callwave, the mobile/landline/PC interoperability company that brought in $40M revenue and launched a quarter-billion-dollar IPO in 2004. “We [at GRP] are all dry powder right now,” Suster bragged politely, “while other firms are dialing back their investments.”

    Can Spievak and company do it again? The cool thing about today’s not-so-hot startup market is you don’t need a hardware investment for a play like RingRevenue. With three million bucks and an Amazon Web Services account, you can give it a shot.


    AMD Takes High-Performance Datacenter Computing to the Next Horizon | killexams.com real questions and Pass4sure dumps

    — Launches World’s first 7nm High-performance GPU for Machine Learning and AI; Demonstrates World’s First High-performance 7nm x86 CPU Powered by “Zen 2” Processor Core and Breakthrough Chiplet Design —

    — Amazon Web Services Announces Immediate Availability of AMD EPYC processor-powered Versions of Its Popular Instance Families —

    SAN FRANCISCO, Nov. 06, 2018 (GLOBE NEWSWIRE) -- AMD (NASDAQ: AMD) today demonstrated its total commitment to datacenter computing innovation at its Next Horizon event in San Francisco by detailing its upcoming 7nm compute and graphics product portfolio designed to extend the capabilities of the modern datacenter. During the event, AMD shared new specifics on its upcoming “Zen 2” processor core architecture, detailed its revolutionary chiplet-based x86 CPU design, launched the 7nm AMD Radeon Instinct™ MI60 graphics accelerator and provided the first public demonstration of its next-generation 7nm EPYC™ server processor codenamed “Rome”. Amazon Web Services (AWS), the world’s most comprehensive and broadly adopted cloud platform company, joined AMD at the event to announce the availability of three of its popular instance families on the Amazon Elastic Compute Cloud (EC2) powered by the AMD EPYC™ processor.

    “The multi-year investments we have made in our datacenter hardware and software roadmaps are driving growing adoption of our CPUs and GPUs across cloud, enterprise and HPC customers,” said Dr. Lisa Su, president and CEO, AMD. “We are well positioned to accelerate our momentum as we introduce the industry’s broadest, most powerful portfolio of datacenter CPUs and GPUs featuring industry-leading 7nm process technology over the coming quarters.”

    AMD Compute Architecture Updates

    AMD for the first time detailed its upcoming “Zen 2” high-performance x86 CPU processor core that is the result of a revolutionary modular design methodology. This modular system design uses an enhanced version of AMD Infinity Fabric interconnect to link separate pieces of silicon (“chiplets”) within a single processor package. The multi-chip processor uses 7nm process technology for the “Zen 2” CPU cores that benefit from the advanced process technology, while leveraging a mature 14nm process technology for the input/output portion of the chip. The result is much higher performance – more CPU cores at the same power, and more cost-effective manufacture than traditional monolithic chip designs.

    Combining this breakthrough design methodology with the benefits of TSMC’s leading-edge 7nm process technology, “Zen 2” delivers significant performance, power consumption and density generational improvements that can help reduce datacenter operating costs, carbon footprint and cooling requirements. Other key generational advances over the award-winning “Zen” core include:

    -- An improved execution pipeline, feeding its compute engines more efficiently. -- Front-end advances – improved branch predictor, better instruction pre-fetching, re-optimized instruction cache and larger op cache. -- Floating point enhancements – doubled floating point width to 256-bit and load/store bandwidth, increased dispatch/retire bandwidth and maintained high throughput for all modes. -- Advanced security features – Hardware-enhanced Spectre mitigations, taking software migration and hardening it into the design, and increased flexibility of memory encryption.

    Multiple 7nm-based AMD products are now in development, including next-generation AMD EPYC CPUs and AMD Radeon Instinct GPUs, both of which AMD detailed and demonstrated at the event. Additionally, the company shared that its follow-on 7nm+-based “Zen 3” and “Zen 4” x86 core architectures are on-track.

    AMD EPYC Server CPU Updates

    Reinforcing the growing momentum achieved with its current-generation AMD EPYC processors, Matt Garman, vice president of compute services at AWS joined AMD on-stage at the event to announce the immediate availability of the first AMD EPYC processor-based instances on Amazon Elastic Compute Cloud (EC2). Part of AWS’s popular instance families, the new AMD EPYC processor-powered offerings feature industry-leading core density and memory bandwidth. This results in exceptional performance-per-dollar for general purpose and memory-optimized workloads, driven by the core density of AMD EPYC processors that offer M5a and T3a customers a balance of compute, memory, and networking resources for web and application servers, backend servers for enterprise applications, and test/development environments with seamless application migration. For R5a customers, the memory bandwidth advantage of AMD EPYC processors is ideal for in-memory processing, data mining, and dynamic data processing.

    AMD also disclosed new details and delivered performance previews of its next-generation EPYC processors codenamed “Rome”:

    -- Processor enhancements including up to 64 “Zen 2” cores, increased instructions-per-cycle1 and leadership compute, I/O and memory bandwidth2. -- Platform enhancements including the industry’s first PCIe 4.0-capable x86 server processor with double the bandwidth per channel3 to dramatically improve datacenter accelerator performance. -- Double the compute performance per socket4 and four times the floating point performance per socket5 compared to current AMD EPYC processors. -- Socket compatibility with today’s AMD EPYC server platforms.

    AMD demonstrated the performance and platform advantages of its next-generation EPYC processor with two demos during the event:

    -- A pre-production single-socket next-generation AMD EPYC processor outperforming a commercially available top-of-the-line Intel dual processor Xeon server running the computationally-intensive, industry standard “C-Ray” benchmark6. -- The industry’s first x86 PCIe 4.0-capable platform demo, featuring a Radeon Instinct MI60 processor to accelerate image recognition.

    “Rome” is sampling with customers now and is expected to be the world’s first high-performance x86 7nm CPU.

    AMD Datacenter Graphics Updates

    AMD launched the world’s first 7nm GPUs and the industry’s only hardware-virtualized GPUs – the AMD Radeon Instinct MI60 and MI50 – which are scheduled to ship to customers this quarter. These new graphics cards are based on the high-performance, flexible “Vega” architecture and are specifically designed for machine learning and artificial intelligence (AI), delivering higher levels of floating-point performance7, greater efficiencies8 and new features for datacenter deployments. A live demonstration during the event showed the flagship AMD Radeon Instinct MI60 running real-time training, inference and image classification.

    In addition to new hardware announcements AMD also announced ROCm 2.0, a new version of its open software platform for accelerated computing that includes new math libraries, broader software framework support, and optimized deep learning operations. ROCm 2.0 has also been upstreamed for Linux kernel distributions, extending ROCm access to millions of Linux developers and users. Designed for scale, ROCm allows customers to deploy high-performance, energy-efficient heterogeneous computing systems in an open environment.

    Presentations from the event are available now on at www.amd.com/NextHorizon. A full replay will be available within 12 hours and will remain available for approximately one year.

    -- Visit the Next Horizon event webpage for event materials -- Become a fan of AMD on Facebook -- Follow AMD on Twitter

    For more than 45 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog, Facebook and Twitter pages.

    This press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) including the features, functionality, availability, timing, deployment and expectations of AMD future products and technologies, including “Zen 2,” “Zen 3,” “Zen 4,” “Rome,” AMD Radeon Instinct™ MI60 and MI50 accelerators and the ROCm 2.0 open software platform; AMD driving growing adoption in its CPUs and GPUs across cloud, enterprise and HPC customers; AMD being well positioned to accelerate its momentum through the introduction of AMD’s datacenter portfolio in the coming quarters; and expected benefits from EPYC™ based AWS R5, M5 and T3 instances, which are made pursuant to the Safe Harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are commonly identified by words such as "would," "intends," "believes," "expects," "may," "will," "should," "seeks," "intends," "plans," "pro forma," "estimates," "anticipates," or the negative of these words and phrases, other variations of these words and phrases or comparable terminology. Investors are cautioned that the forward-looking statements in this document are based on current beliefs, assumptions and expectations, speak only as of the date of this document and involve risks and uncertainties that could cause actual results to differ materially from current expectations. Such statements are subject to certain known and unknown risks and uncertainties, many of which are difficult to predict and generally beyond AMD's control, that could cause actual results and other future events to differ materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to differ materially from current expectations include, without limitation, the following: Intel Corporation’s dominance of the microprocessor market and its aggressive business practices may limit AMD’s ability to compete effectively; AMD has a wafer supply agreement with GF with obligations to purchase all of its microprocessor and APU product requirements, and a certain portion of its GPU product requirements, from GLOBALFOUNDRIES Inc. (GF) with limited exceptions. If GF is not able to satisfy AMD’s manufacturing requirements, its business could be adversely impacted; AMD relies on third parties to manufacture its products, and if they are unable to do so on a timely basis in sufficient quantities and using competitive technologies, AMD’s business could be materially adversely affected; failure to achieve expected manufacturing yields for AMD’s products could negatively impact its financial results; the success of AMD’s business is dependent upon its ability to introduce products on a timely basis with features and performance levels that provide value to its customers while supporting and coinciding with significant industry transitions; if AMD cannot generate sufficient revenue and operating cash flow or obtain external financing, it may face a cash shortfall and be unable to make all of its planned investments in research and development or other strategic investments; the loss of a significant customer may have a material adverse effect on AMD; AMD’s receipt of revenue from its semi-custom SoC products is dependent upon its technology being designed into third-party products and the success of those products; AMD products may be subject to security vulnerabilities that could have a material adverse effect on AMD; data breaches and cyber-attacks could compromise AMD’s intellectual property or other sensitive information, be costly to remediate and cause significant damage to its business and reputation; AMD’s operating results are subject to quarterly and seasonal sales patterns; global economic uncertainty may adversely impact AMD’s business and operating results; AMD may not be able to generate sufficient cash to service its debt obligations or meet its working capital requirements; AMD has a large amount of indebtedness which could adversely affect its financial position and prevent it from implementing its strategy or fulfilling its contractual obligations; the agreements governing AMD’s notes and the Secured Revolving Line of Credit impose restrictions on AMD that may adversely affect its ability to operate its business; the markets in which AMD’s products are sold are highly competitive; AMD's issuance to West Coast Hitech L.P. (WCH) of warrants to purchase 75 million shares of its common stock, if and when exercised, will dilute the ownership interests of its existing stockholders, and the conversion of the 2.125% Convertible Senior Notes due 2026 may dilute the ownership interest of its existing stockholders, or may otherwise depress the price of its common stock; uncertainties involving the ordering and shipment of AMD’s products could materially adversely affect it; the demand for AMD’s products depends in part on the market conditions in the industries into which they are sold. Fluctuations in demand for AMD’s products or a market decline in any of these industries could have a material adverse effect on its results of operations; AMD’s ability to design and introduce new products in a timely manner is dependent upon third-party intellectual property; AMD depends on third-party companies for the design, manufacture and supply of motherboards, software and other computer platform components to support its business; if AMD loses Microsoft Corporation’s support for its products or other software vendors do not design and develop software to run on AMD’s products, its ability to sell its products could be materially adversely affected; and AMD’s reliance on third-party distributors and AIB partners subjects it to certain risks. Investors are urged to review in detail the risks and uncertainties in AMD's Securities and Exchange Commission filings, including but not limited to AMD's Quarterly Report on Form 10-Q for the quarter ended September 29, 2018.

    AMD, the AMD Arrow logo, EPYC, Radeon and combinations thereof, are trademarks of Advanced Micro Devices, Inc. Other names are for informational purposes only and may be trademarks of their respective owners.

    1 Estimated increase in instructions per cycle (IPC) is based on AMD internal testing for “Zen 2” across microbenchmarks, measured at 4.53 IPC for DKERN +RSA compared to prior “Zen 1” generation CPU (measured at 3.5 IPC for DKERN + RSA) using combined floating point and integer benchmarks.

    2 NAP-42 – AMD EPYC™ 7601 processor supports up to 8 channels of DDR4-2667, versus the Xeon Platinum 8180 processor at 6 channels of DDR4-2667. NAP-43 – AMD EPYC 7601 processor includes up to 32 CPU cores versus the Xeon Platinum 8180 processor with 28 CPU cores.

    NAP-44 – A single AMD EPYC™ 7601 processor offers up to 2TB/processor (x 2 = 4TB), versus a single Xeon Platinum 8180 processor at 768Gb/processor (x 2 = 1.54TB). NAP-56 – AMD EPYC™ processor supports up to 128 PCIe® Gen 3 I/O lanes (in both 1 and 2-socket configuration), versus the Intel® Xeon® SP Series processor supporting a maximum of 48 lanes PCIe® Gen 3 per CPU, plus 20 lanes in the chipset (max of 68 lanes on 1 socket and 116 lanes on 2 socket).

    Based on “Zen 2” design parameters versus “Zen1” and currently shipping products – core count increase from 32 to up to 64 per socket. Memory bandwidth with up to 3200Gb/s memory speed across eight memory channels, I/O leadership extending to PCIeGen4.

    3 Per Silicon Labs, provider of the PCIe Gen 4 solutions. (website here: https://www.silabs.com/community/blog.entry.html/2015/12/04/what—is—pcie—gen4a-oobp ). PCIe Gen4 is a new standardized data transfer bus that will double the data transfer rate per lane of the prior Gen3 revision from 8.0 GT/s (gigatransfers/second) to 16.0 GT/s. This means that a single PCIe Gen4 interconnection will allow data rate transfers of up to 2GB/s (gigabytes/second), and a full 16 slot PCIe Gen4 interconnection for graphics cards and high-end solid state drives will allow data transfer rates of up to 32GB/s.

    4 Testing performed by AMD Engineering as of October 2018 using AMD reference system with a pre-production “Rome” engineering sample, where “Rome” scored approximately 2x higher compared to “Naples” System.

    5 Estimated generational increase based upon AMD internal design specifications for “Zen 2” compared to “Zen 1”. “Zen 2” has 2X the core density of “Zen 1”, and when multiplied by 2X peak FLOPs per core, at the same frequency, results in 4X the FLOPs in throughput.

    6 Estimates based on AMD internal testing as of November 6, 2018 in AMD “Ethanol” reference system (Oct 2018?) AMD EPYC™-based system configuration with AMD “Rome” Development Chassis with an EthanolX development board featuring a single next generation AMD EPYC (“Rome”) processor with a total of XXXXX DIMMs at XXXXX; versus Intel -based system configured with Supermicro’s SYS-1029U-TRTP; OS: Ubuntu 7.3.0-27ubuntu1~18.04; Linux: 4.15.0-36-generic; Compiler: GCC 7.3.0 with 2x Intel(R) Xeon(R) Platinum 8180M CPU, 24x32GB at 2666 MHz. The AMD “Rome” 1P server completes the C-Ray demo in ~ XXXXX sec and the Intel 8180M completes the benchmark in ~ XXXXX sec. Benchmark testing data redacted by AMD for confidentiality purposes, full disclosure will be available after launch.

    7 As of Oct 22, 2018. The results calculated on for Radeon Instinct MI60 designed with Vega 7nm FinFET process technology resulted in 29.5 TFLOPS half precision (FP16), 14.8 TFLOPS single precision (FP32) and 7.4 TFLOPS double precision (FP64) peak theoretical floating-point performance. This performance increase is achieved with an improved transistor count of 13.2 billion on a smaller die size of 331.46mm2 then previous Gen MI25 GPU products with the same 300W power envelope.

    The results calculated for Radeon Instinct MI50 designed with Vega 7nm FinFET process technology resulted in 26.8 TFLOPS peak half precision (FP16), 13.4 TFLOPS peak single precision (FP32) and 6.7 TFLOPS peak double precision (FP64) floating-point performance. This performance increase is achieved with an improved transistor count of 13.2 billion on a smaller die size of 331.46mm2 than previous Gen MI25 GPU products with the same 300W power envelope.

    The results calculated for Radeon Instinct MI25 GPU based on the “Vega10” architecture resulted in 24.6 TFLOPS peak half precision (FP16), 12.3 TFLOPS peak single precision (FP32) and 768 GFLOPS peak double precision (FP64) floating-point performance. This performance is achieved with a transistor count of 12.5 billion on a die size of 494.8mm2 with 300W power envelope.

    AMD TFLOPS calculations conducted with the following equation for Radeon Instinct MI25, MI50, and MI60 GPUs: FLOPS calculations are performed by taking the engine clock from the highest DPM state and multiplying it by xx CUs per GPU. Then, multiplying that number by xx stream processors, which exist in each CU. Then, that number is multiplied by 2 FLOPS per clock for FP32 and 4 FLOPS per clock for FP16. To calculate FP64 TFLOPS rate for Vega 7nm products MI50 and MI60 a 1/2 rate is used and for “Vega10” architecture based MI25 a 1/16th rate is used.

    GFLOPS per Watt ---------------------- MI25 MI50 MI60 ---- ----- ----- ----- FP16 0.082 0.089 0.098 ---- ----- ----- ----- FP32 0.041 0.045 0.049 ---- ----- ----- ----- FP64 0.003 0.022 0.025 ---- ----- ----- -----

    AMD has not independently tested or verified external/third party results/data and bears no responsibility for any errors or omissions therein.RIV-2

    8 Radeon Instinct™ MI60 contains 13.2 billion transistors on a package size of 331.46mm2, while the previous generation Radeon Instinct™ MI25 had 12.5 billion transistors on a package size of 494.8mm2 – a 58% improvement in number of transistors per mm2.


    Western Digital Releases Industry’s First 96-Layer 3D NAND UFS 2.1 Embedded Flash Drive for High-End Smartphones | killexams.com real questions and Pass4sure dumps

    SAN JOSE, Calif.--(BUSINESS WIRE)--

    Advanced UFS-Enabled EFD Enables Always-On Experience for Data-Intensive, Next-Generation Smartphone, Tablet and Compute Devices

    Western Digital Corp. (WDC) today introduced the industry’s first 96-layer 3D NAND UFS 2.1 embedded flash drive (EFD), the Western Digital iNAND® MC EU321, accelerating the possibilities of artificial intelligence (AI), augmented reality (AR), multi-camera high-resolution photography, 4K video capture and other demanding applications for high-end mobile and compute devices.

    This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20181009005202/en/

    Leveraging Western Digital’s 96-layer 3D NAND technology, advanced UFS 2.1 interface technologies and Western Digital’s iNAND SmartSLC 5.1 architecture, the new Western Digital iNAND® MC EU321 EFD delivers exceptional data performance for smartphone, tablet and PC notebook devices, enabling outstanding mobile experiences even as the device approaches full capacity.

    “Mobile devices have become the hub of our everyday connected lives. As emerging capabilities for 5G speeds, 4K video, AR and VR continue to transform what smartphones, tablets and notebooks are capable of, user expectations and technology requirements to support these rich user experiences are also on the rise,” said Oded Sagee, senior director, product marketing Western Digital. “Our 3D NAND technology enables users to tap into higher embedded storage capacity to support their data needs throughout the smartphone life cycle. In addition, where the performance of a device with traditional storage architecture typically slows down as it nears capacity, the Western Digital iNAND MC EU321 EFD is purpose-built to maintain high performance, enabling users to continue to create, preserve and enjoy their digital experiences.”

    The volume, velocity and variety of mobile data is predicted to skyrocket over the next few years as more data-centric capabilities come to mobile and compute devices.

  • Mobile photography and video with multiple high-resolution cameras and AI-assisted photography offer users new capabilities for creating and sharing their digital content.
  • 5G networks will enable ultra-fast download and transfer speeds, transforming the way consumers interact with their devices and content.
  • 5G-powered AI at the mobile device “edge” offers the ability to capture, process and learn from data in real time.
  • According to Counterpoint Research, average NAND Flash storage capacities are poised to grow at a healthy CAGR of 28% between 2017-2021. The boost in average capacities comes from the pent-up replacement demand from mature tablet users upgrading to powerful, connected models with bigger screens and higher capacities, as entertainment and productivity on the go becomes the key use cases.

    All these data-intensive applications require greater capacities and speeds to deliver the seamless on-the-go experience that consumers have come to expect from their mobile devices. In the first half of calendar year 2018 total smartphone shipments had 40 percent more embedded storage capacity than shipments in the first half of calendar year 2017. The equivalent to 51GB per smartphone1, creating increased demand for higher capacities and smarter storage technologies.

    Optimized for Data-Intensive, High-End Mobile Devices

    The iNAND MC EU321 is the latest addition to the iNAND family, which has been trusted by all major smartphone and tablet manufacturers around the world for more than a decade. The iNAND MC EU321 EFD achieves sequential write performance speeds up to 550MB/s enabling exceptional user experiences. Western Digital is currently sampling storage solutions to OEMs in capacities up to 256GB2.

    About Western Digital

    Western Digital creates environments for data to thrive. The company is driving the innovation needed to help customers capture, preserve, access and transform an ever-increasing diversity of data. Everywhere data lives, from advanced data centers to mobile sensors to personal devices, our industry-leading solutions deliver the possibilities of data. Western Digital® data-centric solutions are marketed under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands.

    Western Digital, the Western Digital logo, SanDisk, the SanDisk logo, and iNAND are registered trademarks of Western Digital Corporation or its affiliates in the U.S. and/or other countries. All other marks are the property of their respective owners. Pictures shown may vary from actual products. Product specifications subject to change without notice. © 2018 Western Digital Corporation or its affiliates. All rights reserved.

    Story Continues

    Forward-Looking Statements

    This news release contains certain forward-looking statements, including the expected availability, benefits, features, pricing and performance of the Western Digital iNAND MC EU321 storage product. There are a number of risks and uncertainties that may cause these forward-looking statements to be inaccurate including, among others: changes to specifications from standards organizations, volatility in global economic conditions; business conditions and growth in the storage ecosystem; impact of competitive products and pricing; market acceptance and cost of commodity materials and specialized product components; actions by competitors; unexpected advances in competing technologies; our development and introduction of products based on new technologies and expansion into new data storage markets; risks associated with acquisitions, mergers and joint ventures; difficulties or delays in manufacturing; and other risks and uncertainties listed in the company's filings with the Securities and Exchange Commission (the "SEC"), including the company's most recently filed periodic report, to which your attention is directed. You should not place undue reliance on these forward-looking statements, which speak only as of the date hereof, and the company undertakes no obligation to update these forward-looking statements to reflect subsequent events or circumstances.

    1 Source: IDC Quarterly Mobile Phone Tracker, August 2018

    2 1GB = 1,000,000,000 bytes. Actual user storage less.

    View source version on businesswire.com: https://www.businesswire.com/news/home/20181009005202/en/

    MULTIMEDIA AVAILABLE:https://www.businesswire.com/news/home/20181009005202/en/



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