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000-207 exam Dumps Source : High suspension Taps Solutions Version 5

Test Code : 000-207
Test appellation : High suspension Taps Solutions Version 5
Vendor appellation : IBM
: 218 true Questions

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army faucets GTSI, IBM for high-conclusion Computing Pact | killexams.com true 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 compress 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 ground age with three one-12 months alternatives.

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

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

The compress turned into awarded with the aid of the military, but the Navy and the interior revenue service besides may live valued clientele. The companies worked together to boost the terms of the contract, which is open to vulgar federal corporations and contains overseas defense coerce revenue.


IBM scores another Lab Win With 'Sierra' going online At Lawrence Livermore national Labs | killexams.com true 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 climax 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 prefer a closer seem.

The particulars

Sierra is being hailed because the sister paraphernalia to the IBM POWER9-primarily based “Summit,” and it replaces the aged “Sequoia” supercomputer (which best makes exercise 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 age used by means of the U.S. executive motto to IBM “you delivered what they requested and paid for.” it'll serve the NNSA’s three nuclear protection laboratories, which, moreover LLNL, involve 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 habitual 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 efficient if you occur 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 efficient on the hardware however the application stack and helped optimize the heterogeneous gadget’s efficiency through prep drudgery on applications and establishing optimized code. LLNL has additionally purportedly been working carefully with the vulgar rightRidge national Laboratory, the residence the climax supercomputer is housed, which makes sense and joyful to remark because the budget vulgar comes from U.S. taxpayers.

applications

Sierra can live result to deserve exercise of in opposition t national protection—NNSA’s Stockpile Stewardship program, ongoing being extension classes, weapons science, and nuclear deterrence. vulgar 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 live result to deserve exercise of for different scientific research benefitting society. The LLNL says Sierra will live utilized in projects equivalent to melanoma drug research, precision medicine, seismology, local weather, astrophysics, materials science, and extra.  This makes flawless 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 necessity fancy other know-how businesses have. I determine it ironic that Google, who merits from the freedoms the U.S. armed forces has supplied it, is stepping faraway from supporting their nation’s protection and its residents.

All in all, here's yet another solid HPC operational win for IBM’s POWER9. I even hold 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 precipitate 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 theme for reminiscence access, which simplifies software construction and minimizes latency. This should weigh in 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 besides just considerable optics for its POWER9-based mostly enterprise line. IBM is using this identical 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 necessity to insist 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 hold contributed to this article.  

Disclosure: Moor Insights & approach, fancy 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, absolute 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 live mentioned listed here.  


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

1.0 government summary

Getting birthright to the element, I’m skeptical that the pink Hat (RHT) acquisition is going to live significant over the long-time age for IBM’s (IBM) industry or share price. I worry that purple Hat may additionally finally suspension 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 controversy that the “sum” of IBM + RedHat is more than the particular person ingredients isn't peculiarly strong for my part. i'm struggling to live awake the exciting cost proposition provided by means of the combined agencies after reading the transcript of the analyst convention appellation 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 deserve feel to me. thus, whereas some analysts hold expressed hardship over the $34 billion rate tag, my heart of attention here is specially on IBM’s know-how arguments and market casual arguments used to warrant the purchase.

As a disclosure, I took residence to accept rid of my final position in IBM in October of this yr, as I vulgar 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 unconcerned 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 convene 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 live 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, exercise “hybrid-cloud” and “multi-cloud” terminology a Little interchangeably; however, I feel some definition is profitable so as to add some precision to their evaluation.

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

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

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

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

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

So, a hybrid-cloud makes exercise 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. they 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 skill to mainly capture a gargantuan share of the growing to live hybrid-cloud architecture market by way of purple Hat’s applied sciences.

3.0 QUESTIONABLE ASSUMPTIONS

With their definitions in hand, let’s determine why IBM is doing this deal. for my part, the motives expressed on the analyst convene seethe vulgar 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 admixture provides bizarre 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 live 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 live 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] motto to us is, whats up, they – these different clouds, they’re proprietary. They necessity an open solution [with] no lock-in. So circulate it across assorted cloud environments without a lock-in, [that’s] what both of us execute 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 prefer note what she’s getting at birthright here. She implies within the quote that valued clientele accept “locked in” with (certain) cloud environments; but, instead, these customers are looking to live in a position to rush 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 live regarding their application structure, and never the cloud environment they are running on. A poorly designed cloud application will live difficult to circulate no live counted what cloud it is running on. The converse is besides true: a neatly-designed cloud utility could live handy(ier) to coast 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 live unfamiliar with the term, I present an smooth if a Little imprecise explanation: containers provide a method to paraphernalia the entire “parts” that an utility should run:

    Illustration of Container theory

    supply: Docker/Datamation

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

    So, increasing on the utility of containers:

    “traditionally, functions or workloads often had to live rebuilt earlier than they may live migrated to a further ambiance. The solution to this is container expertise. considering containers are remoted from neighboring containers and involve everything they necessity to sprint 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 coast 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 deserve about containers is that purposes may additionally involve several containers, wherein case container orchestration software is used to automate and simplify the administration of vulgar these containers. Kubernetes, a different open-source undertaking originally vulgar 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 live “locked in” and as a substitute are looking to live able to stream applications throughout discrete cloud environments, they (customers) can definitely execute this these days if they design and set up their functions appropriately, with containers for instance of one expertise that may besides live sort of useful. She, in fact, makes this very point mentioning “…[We] had been constructing and they now hold 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 live 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 live augmented in such a means by using OpenShift as to leapfrog the competition when the exercise 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 hold that might live superior to others?

    Frankly, it looks to me that IBM’s latest cloud capabilities introduced to OpenShift aren't going to live a large “online game changer”. firstly, any integration between IBM’s cloud technology stack and purple Hat’s will prefer some time; time which competitors will certainly exercise to their talents to live confident they don't seem to live left in the back of. 2nd, I’ve already cited that OpenShift is in accordance with Docker and Kubernetes which skill 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 fancy to deem the corporations would hold made that clear; however they haven't (at least no longer yet). Fourth, there's nothing that “ties” OpenShift to the IBM Cloud; deem 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 besides live 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 industry 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 appellation attention to the technology then? here is perhaps a refined point and could live an unseemly extrapolation on my part, however leads me to prodigy if the hybrid-cloud market is as mighty as IBM suggests it's, and will be. besides as the up to now linked article notes, IBM is not on my own with an providing birthright 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 quarrel 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 uphold Ms. Rometty’s remark that customers don’t want to live 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 feasible to the equal extent with a closed answer. it might had been advantageous if IBM offered some facts points to suffer in intelligence 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 they tie vulgar 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” gape a Little bit invalid when considering the applied sciences (e.g. containers, orchestration) that hold 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 quarrel above, there seems to live a lack of statistics which would imply customers rawboned toward non-proprietary (e.g. open-supply-based mostly) deepest cloud deployments.

    To summarize, I don’t (presently) remark the relaxation in fact exciting that emerges through a combination of the two companies’ cloud stacks. To live fair, the businesses necessity time to develop tightly built-in options, and IBM is yet to apply the punch of its progress organization in opposition t red Hat’s technologies. but, if I’m birthright that “there isn't a considerable deal to gape birthright 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 live 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 they are coming into a second portion 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 live to live transitioned to the cloud. Ms. Rometty states:

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

    She continues…

    “but here is an inflection factor, and if [customers are] going to accept past that and circulate the other 80% which is set vulgar their processes and their facts they necessity what we’re going to proffer 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 they remark 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 vulgar applications are always a superb happy for a cloud deployment for any number of motives: required dependencies don't seem to live readily replicated in a cloud atmosphere, security concerns, lack of can charge-rate reductions, and so forth. So, consumers certainly would not hold 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 latitude to problem what she says within the next few statements. She explains that “[customers] either necessity to rewrite, refactor, settle what goes the place…” certainly, IBM and other know-how suppliers will, as they hold already got, live afforded with alternatives to uphold purchasers migrate inevitable purposes to cloud environments. That’s obliging information for IBM’s very significant carrier business, and there is reason to suppose the capabilities community will handicap 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 their combine shift to greater price...and is accretive to their vulgar earnings margin…”

    but, there is a counter-argument to deem here. in residence of rewriting/refactoring present legacy applications, customers might besides in its residence pick out “off-the-shelf” solutions (SaaS or in any other case) which may additionally expound to live 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 dispute the COTS strategy and its expertise influence on their projections for starting to live their cloud connected revenues.

    moving to IBM’s declare that multi-cloud environments may live 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 industry 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, they comprehend that IT tends to stream in cycles. suppose about what took residence with the client-server computing paradigm the residence “server sprawl” eventually gave technique to server explanation and a push for homogeneity among methods. Is it no longer feasible that they might besides remark anything similar with cloud, the residence valued clientele “wake up” sooner or later and interrogate themselves why they hold 5 clouds once they could live 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 sole 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 sole cloud, then why does a given enterprise necessity upwards of sixteen clouds (using the “excessive” specimen from IBM’s quote)?

    The overarching theme birthright here is that Ms. Rometty’s residence that the “final” eighty% of legacy customer purposes are just waiting to live moved birthright into a multi-cloud environment has vulnerable facets. besides the fact that it were strong, I’m no longer confident IBM mandatory to spend $34 billion on red Hat to seize these alternatives. I already argued in the aged section that IBM had current capabilities in the identical cloud know-how areas the residence crimson Hat operates. If they suppose about Ms. Rometty’s remark about “rewriting/refactoring”, what does red Hat proffer birthright here that IBM doesn't hold already got? here's drudgery 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 undergo 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, sole cloud environments which supply enough robustness and reliability to meet most client requirements, then this “cloud rationalization” may hold a theatrical repercussion on IBM’s correct-line and bottom-line boom forecasts seeing that the industry 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 live about hybrid-cloud. In hybrid-cloud is an rising $1 trillion market…I weigh in what they did was issue and they remark a scale of a $1 trillion market…We pointed out to ourselves and invariably stored announcing: What can they execute more desirable to exploit the wants of their purchasers? How can they precipitate up their skill to depart 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 abet 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 motto “they anticipate 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 exercise of those figures as a proxy for the habitual hybrid-cloud market, it could without doubt prefer quite some time to reach $1 trillion in complete cost even on the exorbitant conclusion of the growth latitude.

    One component technology leaders seem to live peculiarly first rate at is arising with very tremendous numbers when describing their complete addressable market (TAM). Admittedly, I’m now not inevitable if IBM’s assess is functional birthright here or no longer considering that…who really knows birthright now how huge the hybrid-cloud market may develop into? In sheperd 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 hold 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 % anticipate to execute the identical inside the next yr.” These metrics are efficient to assist IBM’s argument, however they may besides live interpreted to hint that most gargantuan clients hold already got a hybrid-cloud in location, and for that reason unusual hybrid-cloud deployments might in reality reduce relocating ahead. extra, if they don't forget the dialogue in portion three.2 round shoppers determining COTS/SaaS functions, as smartly as the possibility that sole cloud architectures may subsequently set up themselves as the paramount 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 sole observe most confiscate 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 suffer in intelligence what key technologies IBM gets with pink Hat that they didn’t hold 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 besides 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 drudgery out the way to residence WebSphere versus JBoss. And as other authors hold counseled, pink Hat commercial enterprise Linux (RHEL) could at ultimate supplant AIX as IBM’s de facto UNIX distribution. The connected migration drudgery would possibly power a obliging 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 insist that RHEL is the quickest growing Linux distribution. To that end, there is a few records suggesting that Ubuntu is turning out to live 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 they rush 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 whirl into satisfied the sum of the groups lacks incremental price. Yet, at the identical time as IBM/pink Hat supply extra details to the market, as I’ve outlined herein there are a yoke 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 hold 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, considerable Pacific to tap high-end ad market | killexams.com true 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 prefer a reduce of the action.

    A  rush chart of how RingRevenue helps affiliate networks

    First, the product: Affiliate marketing is a figure 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 figure of advertising because it has the highest return.

    A quickie tutorial on online advertising

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

  • Cost per stamp or CPM (“cost per mille,” rotten French for one thousand ads served), in which advertisers pay solely to accept their message in front of an Internet or phone user. It costs the identical 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 appellation and contact info of a prospective buyer, fancy 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 deserve the purchase. They’re not going to buy a $4,000 treadmill with three clicks, even though they can.

    Affiliate marketing works fancy 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 interlard unusual clients to a industry are compensated. The inequity in the case of affiliate marketing is that advertisers only pay their publishers when the unusual client introduction results in a sale or a lead, making it a low-risk, high-reward environment for both parties.

    Advertisers in their 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 relate an advertiser’s program. Upon acceptance, the publishers select and residence the advertiser’s links on their Web sites, in their email campaigns or as portion 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 vulgar of the collection and processing required to ensure honest and timely commission payment for the publisher, and vulgar of the administration and verification necessary to ensure character sales and leads for the advertiser.

    The problem is simple: How execute you tie the customer’s online research session with the phone convene 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 exercise 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 brand 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 strategy is to enable Commission Junction and other affiliate networks (RingRevenue claims three more gargantuan partnerships will soon live announced) to tap that market and drag it online, by connecting online CPA campaigns to human-powered convene centers. Affiliate marketing currently sells about $10 billion annually in goods and services. RingRevenue’s industry strategy is to grow that market and prefer a gargantuan replete cut.

    RingRevenue CEO Jason SpievakSuster says the obvious reason to back RingRevenue against competitors fancy 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 vulgar parch powder birthright now,” Suster bragged politely, “while other firms are dialing back their investments.”

    Can Spievak and company execute it again? The frosty thing about today’s not-so-hot startup market is you don’t necessity a hardware investment for a play fancy 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 true 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 approved 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 unusual specifics on its upcoming “Zen 2” processor core architecture, particular 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 declar the availability of three of its approved instance families on the Amazon Elastic Compute Cloud (EC2) powered by the AMD EPYC™ processor.

    “The multi-year investments they hold made in their datacenter hardware and software roadmaps are driving growing adoption of their CPUs and GPUs across cloud, enterprise and HPC customers,” said Dr. Lisa Su, president and CEO, AMD. “We are well positioned to accelerate their momentum as they interlard 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 particular 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 divide pieces of silicon (“chiplets”) within a sole 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 ripen 14nm process technology for the input/output portion of the chip. The result is much higher performance – more CPU cores at the identical 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 abet 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 lofty throughput for vulgar modes. -- Advanced security features – Hardware-enhanced Spectre mitigations, taking software migration and hardening it into the design, and increased flexibility of reminiscence 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 particular 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 declar the immediate availability of the first AMD EPYC processor-based instances on Amazon Elastic Compute Cloud (EC2). portion of AWS’s approved instance families, the unusual AMD EPYC processor-powered offerings feature industry-leading core density and reminiscence 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 proffer M5a and T3a customers a poise 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 reminiscence bandwidth handicap of AMD EPYC processors is model for in-memory processing, data mining, and dynamic data processing.

    AMD besides disclosed unusual 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 reminiscence bandwidth2. -- Platform enhancements including the industry’s first PCIe 4.0-capable x86 server processor with double the bandwidth per channel3 to dramatically ameliorate 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 touchstone “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 live 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 unusual graphics cards are based on the high-performance, resilient “Vega” architecture and are specifically designed for machine learning and simulated intelligence (AI), delivering higher levels of floating-point performance7, greater efficiencies8 and unusual 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 unusual hardware announcements AMD besides announced ROCm 2.0, a unusual version of its open software platform for accelerated computing that includes unusual math libraries, broader software framework support, and optimized profound learning operations. ROCm 2.0 has besides 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 replete replay will live 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 -- ensue AMD on Twitter

    For more than 45 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the structure 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 reckon on AMD technology daily to ameliorate how they live, drudgery and play. AMD employees around the world are focused on structure considerable 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 vary materially from current expectations. Such statements are theme to inevitable 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 vary materially from those expressed in, or implied or projected by, the forward-looking information and statements. Material factors that could cause actual results to vary materially from current expectations include, without limitation, the following: Intel Corporation’s dominance of the microprocessor market and its aggressive industry practices may limit AMD’s skill to compete effectively; AMD has a wafer supply agreement with GF with obligations to purchase vulgar of its microprocessor and APU product requirements, and a inevitable portion of its GPU product requirements, from GLOBALFOUNDRIES Inc. (GF) with limited exceptions. If GF is not able to fullfil AMD’s manufacturing requirements, its industry could live adversely impacted; AMD relies on third parties to manufacture its products, and if they are unable to execute so on a timely basis in enough quantities and using competitive technologies, AMD’s industry could live materially adversely affected; failure to achieve expected manufacturing yields for AMD’s products could negatively repercussion its financial results; the success of AMD’s industry is contingent upon its skill to interlard 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 enough revenue and operating cash rush or obtain external financing, it may visage a cash shortfall and live unable to deserve vulgar of its planned investments in research and progress or other strategic investments; the loss of a significant customer may hold a material adverse result on AMD; AMD’s receipt of revenue from its semi-custom SoC products is contingent upon its technology being designed into third-party products and the success of those products; AMD products may live theme to security vulnerabilities that could hold a material adverse result on AMD; data breaches and cyber-attacks could compromise AMD’s intellectual property or other sensitive information, live costly to remediate and cause significant damage to its industry and reputation; AMD’s operating results are theme to quarterly and seasonal sales patterns; global economic mistrust may adversely repercussion AMD’s industry and operating results; AMD may not live able to generate enough cash to service its debt obligations or meet its working capital requirements; AMD has a large amount of indebtedness which could adversely feel its financial position and avert 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 feel its skill 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 cost of its common stock; uncertainties involving the ordering and shipment of AMD’s products could materially adversely feel it; the claim for AMD’s products depends in portion on the market conditions in the industries into which they are sold. Fluctuations in claim for AMD’s products or a market decline in any of these industries could hold a material adverse result on its results of operations; AMD’s skill to design and interlard unusual products in a timely manner is contingent 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 uphold its business; if AMD loses Microsoft Corporation’s uphold for its products or other software vendors execute not design and develop software to sprint on AMD’s products, its skill to sell its products could live materially adversely affected; and AMD’s reliance on third-party distributors and AIB partners subjects it to inevitable 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 figure 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 live 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 sole AMD EPYC™ 7601 processor offers up to 2TB/processor (x 2 = 4TB), versus a sole 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 sequence 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 matter increase from 32 to up to 64 per socket. reminiscence bandwidth with up to 3200Gb/s reminiscence precipitate across eight reminiscence 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 unusual 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 sole PCIe Gen4 interconnection will allow data rate transfers of up to 2GB/s (gigabytes/second), and a replete 16 slot PCIe Gen4 interconnection for graphics cards and high-end solid status 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 identical 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” progress Chassis with an EthanolX progress board featuring a sole 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, replete disclosure will live 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 sole precision (FP32) and 7.4 TFLOPS double precision (FP64) peak academic floating-point performance. This performance increase is achieved with an improved transistor matter of 13.2 billion on a smaller die size of 331.46mm2 then previous Gen MI25 GPU products with the identical 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 sole precision (FP32) and 6.7 TFLOPS peak double precision (FP64) floating-point performance. This performance increase is achieved with an improved transistor matter of 13.2 billion on a smaller die size of 331.46mm2 than previous Gen MI25 GPU products with the identical 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 sole precision (FP32) and 768 GFLOPS peak double precision (FP64) floating-point performance. This performance is achieved with a transistor matter 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 status 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 reckon 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 glitter Drive for High-End Smartphones | killexams.com true questions and Pass4sure dumps

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

    Advanced UFS-Enabled EFD Enables Always-On undergo 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 glitter drive (EFD), the Western Digital iNAND® MC EU321, accelerating the possibilities of simulated 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 replete 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 unusual 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 replete capacity.

    “Mobile devices hold become the hub of their 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 uphold these flush user experiences are besides 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 uphold 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 lofty performance, enabling users to continue to create, preserve and bask in 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 reach to mobile and compute devices.

  • Mobile photography and video with multiple high-resolution cameras and AI-assisted photography proffer users unusual 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 skill to capture, process and learn from data in true time.
  • According to Counterpoint Research, unconcerned NAND glitter storage capacities are poised to grow at a hardy CAGR of 28% between 2017-2021. The boost in unconcerned capacities comes from the pent-up replacement claim from ripen tablet users upgrading to powerful, connected models with bigger screens and higher capacities, as entertainment and productivity on the depart becomes the key exercise cases.

    All these data-intensive applications require greater capacities and speeds to deliver the seamless on-the-go undergo that consumers hold reach to anticipate 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 claim 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 vulgar 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 abet 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, their 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. vulgar other marks are the property of their respective owners. Pictures shown may vary from actual products. Product specifications theme to change without notice. © 2018 Western Digital Corporation or its affiliates. vulgar rights reserved.

    Story Continues

    Forward-Looking Statements

    This news release contains inevitable 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 live inaccurate including, among others: changes to specifications from standards organizations, volatility in global economic conditions; industry conditions and growth in the storage ecosystem; repercussion of competitive products and pricing; market acceptance and cost of commodity materials and specialized product components; actions by competitors; unexpected advances in competing technologies; their progress and introduction of products based on unusual technologies and expansion into unusual 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 sporadic report, to which your attention is directed. You should not residence undue reliance on these forward-looking statements, which speak only as of the date hereof, and the company undertakes no responsibility 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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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
    Our ISBN10 : 129217613X
    Our ISBN13 : 9781292176130
    Subject : Business & Economics
    Price : $75.00
    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
    Our ISBN13 : 9781292220611
    Subject : Computer Science & Technology
    Price : $65.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
    ISBN13 : 9781260465426
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $39.00
    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 0078021782
    ISBN13 : 9780078021787
    Our ISBN10 : 1260084493
    Our ISBN13 : 9781260084498
    Subject : Business & Economics
    Price : $65.00
    Understanding BusinessUnderstanding Business
    By William G Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Feb 2018)
    ISBN10 : 126021110X
    ISBN13 : 9781260211108
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $75.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (May 2018)
    ISBN10 : 1260682137
    ISBN13 : 9781260682137
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $80.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1260277143
    ISBN13 : 9781260277142
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $77.00
    Understanding BusinessUnderstanding Business
    By William Nickels, James McHugh, Susan McHugh
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 1259929434
    ISBN13 : 9781259929434
    Our ISBN10 : 126009233X
    Our ISBN13 : 9781260092332
    Subject : Business & Economics
    Price : $76.00
    000-207000-207
    By Peter W. Cardon
    Publisher : McGraw-Hill (Jan 2017)
    ISBN10 : 1260128474
    ISBN13 : 9781260128475
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $39.00
    000-207000-207
    By Peter Cardon
    Publisher : McGraw-Hill (Feb 2017)
    ISBN10 : 1260147150
    ISBN13 : 9781260147155
    Our ISBN10 : 1259921883
    Our ISBN13 : 9781259921889
    Subject : Business & Economics, Communication & Media
    Price : $64.00
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