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000-123 Power Systems with POWER7 and AIX & Linux Sales Skills -v2

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000-123 exam Dumps Source : Power Systems with POWER7 and AIX & Linux Sales Skills -v2

Test Code : 000-123
Test title : Power Systems with POWER7 and AIX & Linux Sales Skills -v2
Vendor title : IBM
exam questions : 81 actual Questions

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IBM Power Systems with POWER7

IBM Refreshes gadget P Line with POWER7-based items | killexams.com actual Questions and Pass4sure dumps

IBM Refreshes device P Line with POWER7-based items

big Blue's refresh includes the gargantuan energy 795, which it pits in opposition t good-shelf techniques from HP and Oracle.

  • by using Stephen Swoyer
  • 08/24/2010
  • IBM Corp. ultimate week refreshed its materiel p server line with several unique POWER7-based mostly techniques. The newest POWER7 entries won't ship unless September 17.

    they will probably live charge the wait. great Blue's revamped system p line comprises the gargantuan 256-way vigour 795, which IBM pits without detain in opposition t appropriate-shelf choices from Hewlett-Packard Co. (HP) and Oracle Corp.

    massive Blue isn't simply considering large, however: it too unveiled 4 device p "categorical" entries -- i.e., smaller, much less-costly systems slated for the mid-market. IBM's POWER7 thrust additionally comprises a committed materiel -- viz., the smart Analytics materiel 7700 -- designed for business intelligence (BI) and statistics warehousing workloads. it's of a bit with the sensible Analytics initiative that massive Blue kicked off ultimate summer, simply just before its acquisition of analytics powerhouse SPSS Inc.

    IBM's 256-core power 795 performs to device p's (and RISC/Unix's) common strengths, and its smaller express entries -- the power 710, 720, 730, and 740 methods -- incorporate colossal Blue's latest pains to grapple with commodity x86 (or x64, as is universally the case) servers running chips from advanced Micro contraptions (AMD) Inc. and Intel Corp. prior to now, massive Blue had provided best a unique power-based mostly categorical equipment, the vigour 720.

    during this case, huge Blue is betting that a a gross lot lessen can suffuse (enabled partly through the consume of POWER7 chips that may otherwise had been discarded) as well as an skill to hasten AIX, system i and Linux workloads will assist tip the scales in system p's prefer. furthermore, with POWER7, IBM is as soon as again fielding a 2U form-element server -- basically, two 2U form-element servers, the dash 710 and the dash 730. Add utter of it up and you've got what appears like a estimable pains to seize on the commodity server section -- a historically challenging section to crack.

    Proprietary Redux

    In an business it is stirring to commoditization (and relentlessly, at that), IBM Corp. is sticking to its proprietary guns.

    To build sure, colossal Blue is a creditable commodity participant -- its device x hardware line is powered via chips from each AMD and Intel; its device x BladeCenter portfolio (which includes an influence-based offering) is no. 2, overall, in the back of HP -- however likewise continues to live dedicated to homegrown silicon efforts comparable to POWER7, which powers (in a unique configuration or an extra) its system i, device p, and system z hardware strains.

    In a sense, colossal Blue's POWER7 CMOS now stands because the closing of the Credible x86 alternate options.

    HP and Intel continue to do money into IA64 (which is according to an EPIC structure); Oracle has spoke of many of the right issues about SPARC (which has even so been hemorrhaging relevance for half a decade or extra); and different gamers (similar to Fujitsu and Unisys Corp.) thrust their personal proprietary CMOS flavors, but nothing can point to the configuration of earnings performance (relative to revenue of aggressive, non-commodity systems) that IBM can.


    IBM POWER7 materiel Lineup Grows | killexams.com actual Questions and Pass4sure dumps

    It appears that superior and sooner transistors product of graphene aren't utter that IBM is engaged on, given that its fresh press free up speaks of a unique set of POWER7 servers for disturbing rising functions.

    notwithstanding now not really concentrated on the client market, IBM is considered one of greatest names on the business, business and industrial sectors so far as computing goes.

    It has a huge portfolio of gadget for each existing and rising applications, with economic services, scientific analysis and healthcare administration being just a pair of of its outlets.

    What the enterprise did most these days become convey a unique batch of more advantageous POWER7 blades and servers, which are additionally estimable for consolidation and virtualization.

    "Our strategy looks to live paying off as further and further clients select vigour systems," pointed out Tom Rosamilia, typical supervisor of IBM vigour and z programs.

    One product is the sixteen-core, single-vast IBM BladeCenter PS703, which can live an alternative to sprawling racks and is decent for individuals concerned with energy efficiency.

    The BladeCenter PS704 is comparable to its sibling above, simplest it has double the amount of cores and, accordingly, 60-p.c sooner efficiency within the identical space requirements as old-era POWER7 products.

    The announcement additionally mentions the upgraded IBM vigour 750 express and the improved energy 755, both with 32 POWER7 cores now.

    "we are working billions of vehement calculations based on Einstein's theory of relativity on the POWER7 blades," said Gaurav Khanna, professor of physics at UMass-Dartmouth.

    "working POWER7, i'm capable of enmesh results as much as eight times faster than working the identical calculations on an Intel Xeon processor. Calculations that used to seize a month to hasten at the moment are comprehensive in lower than every week. This means that i will live able to enact eight instances greater science within the equal timeframe than I might enact earlier than."

    This page may quiet believe suggestions on the rest regarding IBMs smarter computing initiative.


    IBM Mashes Up PowerAI And Watson computer studying Stacks | killexams.com actual Questions and Pass4sure dumps

    prior during this decade, when the hyperscalers and the academics that hasten with them were pile computing device researching frameworks to transpose utter kinds of facts from one layout to a different – speech to text, text to speech, photograph to text, video to textual content, and so forth – they had been doing so not just for scientific curiosity. They were attempting to decipher actual company problems and addressing the needs of valued clientele the consume of their software.

    at the equal time, IBM become trying to pellucid up a unique issue, naming creating a query-reply system that would anthropomorphize the quest engine. This pains changed into called project Blue J interior of IBM (not to live puzzled with the open source BlueJ built-in progress ambiance for Java), become wrapped up right into a utility stack known as DeepQA through IBM. It was this DeepQA stack, which become in keeping with the open supply Hadoop unstructured statistics storage and analytics engine that came out of Yahoo and a further mission referred to as Apache UIMA, which predates Hadoop by means of a pair of years and which changed into designed via IBM database experts in the early 2000s to technique unstructured facts like textual content, audio, and video. This deep QA stack was embedded in the Watson QA device that became designed to play Jeopardy against people, which they talked about in detail here eight years ago. The Apache UIMA stack turned into the critical thing a allotment of the WatsonQA materiel that did herbal language processing that parsed out the speech in a Jeopardy answer, transformed it to textual content, and fed it into the statistical algorithms to create the Jeopardy query.

    Watson gained the contest towards human Jeopardy champs Brad Rutter and Ken Jennings, and a manufacturer – which invoked IBM founder Thomas Watson and his admonition to “believe” as well as doctor Watson, the sidekick of fictional supersleuth Sherlock Holmes – turned into born.

    rather than build Watson a product for sale, IBM provided it as a carrier, and pumped the QA system crammed with facts to tackle the healthcare, pecuniary capabilities, power, promoting and media, and schooling industries. This changed into, in utter probability, a mistake, but on the time, in the wake of the Jeopardy championship, it felt like everything was relocating to the cloud and that the SaaS mannequin became the appropriate manner to move. IBM under no circumstances actually talked in exceptional detail about how DeepQA became built, and it has in a similar artery no longer been specific about how this Watson stack has modified over time – eight years is a very long time in the laptop learning space.  It is not pellucid if Watson is material to IBM’s revenues, however what is plain is that machine discovering is strategic for its programs, utility, and services organizations.

    So that is why IBM is ultimately bringing together utter of its laptop researching tools and putting them below the Watson company and, very importantly, making the Watson stack obtainable for buy so it can live hasten on inner most datacenters and in other public clouds anyway the one which IBM runs. To live genuine, the Watson services as smartly as the PowerAI machine studying practising frameworks and adjunct materiel tuned up to hasten on clusters of IBM’s power techniques machines, are being brought collectively, and they'll live do into Kubernetes containers and distributed to hasten on the IBM Cloud private Kubernetes stack, which is accessible on X86 techniques in addition to IBM’s personal energy iron, in virtualized or naked metallic modes. It is this encapsulation of this unique and comprehensive Watson stack with IBM Cloud deepest stack that makes it moveable across private datacenters and different clouds.

    incidentally, as a allotment of the mashup of those tools, the PowerAI stack that makes a speciality of deep learning, GPU-accelerated laptop discovering, and scaling and distributed computing for AI, is being made a core a allotment of the Watson Studio and Watson computer discovering (Watson ML) application equipment. This built-in utility suite gives enterprise information scientists an end-to-end developer tools. Watson Studio is an integrated construction environment in response to Jupyter notebooks and R Studio. Watson ML is a group of computing device and deep studying libraries and mannequin and facts management. Watson OpenScale is AI mannequin monitoring and prejudice and fairness detection. The software previously referred to as PowerAI and PowerAI business will continue to live developed with the aid of the Cognitive methods division. The Watson division, if you aren't frequent with IBM’s organizational chart, is a allotment of its Cognitive options group, which comprises databases, analytics equipment, transaction processing middleware, and various functions disbursed both on premises or as a service on the IBM Cloud.

    it's unclear how this Watson stack may alternate within the wake of IBM closing the crimson Hat acquisition, which should ensue earlier than the conclusion of the yr. but it surely is economical to anticipate that IBM will tune up utter of this software to hasten on purple Hat commercial enterprise Linux and its personal KVM digital machines and OpenShift implementation of Kubernetes and then thrust in fact complicated.

    it's likely constructive to overview what PowerAI is utter about after which expose how it is being melded into the Watson stack. before the mixing and the identify adjustments (extra on that in a second), here's what the PowerAI stack appeared like:

    in line with Bob Picciano, senior vice chairman of Cognitive methods at IBM, there are more than 600 commercial enterprise purchasers that believe deployed PowerAI materiel to hasten desktop learning frameworks on its power systems iron, and obviously GPU-accelerated systems just like the power AC922 materiel that is at the coronary heart of the “Summit” supercomputer at alrightRidge country wide Laboratory and the sibling “Sierra” supercomputer at Lawrence Livermore country wide Laboratory are the main IBM machines individuals are the usage of to enact AI work. here's a gorgeous first rate birth for a nascent business and a platform that is comparatively unique to the AI crowd, but most likely not so several for business customers which believe used energy iron in their database and application tiers for many years.

    The prefatory PowerAI code from two years ago began with models of the TensorFlow, Caffe, PyTorch, and Chainer desktop studying frameworks that colossal Blue tuned up for its energy processors. The great innovation with PowerAI is what is known as mammoth mannequin assist, which makes consume of the coherency between Nvidia “Pascal” and “Volta” Tesla GPU accelerators and Power8 and Power9 processors in the IBM vigour techniques servers – enabled via NVLink ports on the dash processors and tweaks to the Linux kernel – to permit lots higher neural community training models to live loaded into the equipment. utter of the PowerAI code is open supply and dispensed as code or binaries, and thus far most efficacious on dash processors. (We suspect IBM will ebb agnostic on this ultimately, considering that Watson materiel exigency to hasten on the huge public clouds, which with the exception now of the IBM Cloud, will not believe power techniques accessible. (Nimbix, a specialist in HPC and AI and a smaller public cloud, does offer energy iron and helps PowerAI, incidentally.)

    beneath this, IBM has created a basis known as PowerAI business, and this is no longer open supply and it is barely accessible as a allotment of a subscription. PowerAI commercial enterprise provides Message Passing Interface (MPI) extensions to the desktop gaining scholarship of frameworks – what IBM calls dispensed deep studying – as well as cluster virtualization and automated hyper-parameter optimization recommendations, embedded in its Spectrum Conductor for Spark (sure, that Spark, the in-reminiscence processing framework) tool. IBM has too added what it calls the deep researching believe an upshot on module, which contains materiel for managing information (similar to ETL extraction and visualization of datasets) and managing neural community models, including wizards that imply how to most excellent consume data and models. On reform of this stack, IBM’s first business AI utility that it's promoting is called PowerAI imaginative and prescient, which may too live used to label vivid and video records for training fashions and immediately train models (or increase latest fashions provided with the license).

    So after utter of the changes, here's what the unique Watson stack appears like:

    As which you could see, the Watson desktop getting to know stack supports a lot more laptop getting to know frameworks, notably the SnapML framework that got here out of IBM’s analysis lab in Zurich it is offering a colossal performance skills on power iron compared to running frameworks like Google’s TensorFlow. this is obviously a greater comprehensive stack for machine studying, including Watson Studio for developing models, the critical Watson desktop researching stack for practising and deploying models in construction inference, and now Watson OpenScale (it is mislabeled in the chart) to video display and waiton enhance the accuracy of fashions based on how they are operating in the field as they infer issues.

    For the moment, there is no exchange in PowerAI commercial enterprise licenses and pricing utter through the primary quarter, but after that PowerAI commercial enterprise should live introduced into the Watson stack to add the distributed GPU laptop getting to know practising and inference capabilities atop dash iron to that stack. So Watson, which utter started out on Power7 machines taking allotment in Jeopardy, is coming back domestic to Power9 with construction computing device studying functions in the business. They are not certain if IBM will present an identical distributed computing device studying capabilities on non-energy machines, nevertheless it appears probably it's consumers wish to hasten the Watson stack on premises or in a public cloud, it is going to should. power systems will must stand by itself deserves if that comes to circulate, and given the merits that Power9 chips believe with reference to compute, I/O and recollection bandwidth, and coherent recollection throughout CPUs and GPUs, that may too no longer live as a gross lot of an believe an impact on as they could think. The X86 structure will believe to win by itself deserves, too.


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    Power Systems with POWER7 and AIX

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    Big Blue Finally Brings IBM i To Its Own Public Cloud | killexams.com actual questions and Pass4sure dumps

    February 18, 2019 Timothy Prickett Morgan

    Well, that took quite a long time. After what seems like eons of nudging and cajoling and pushing, IBM is making the IBM i operating system and its integrated database management system, as well as the application progress tools and other systems software, available on its self-branded IBM Cloud public cloud.

    Big Blue previewed its plans to bring both IBM i and AIX to the IBM Cloud at its annual reflect conference in Las Vegas, on scale out machines aimed at petite and medium businesses as well as to customers who want to hasten clusters of machines, and on scale up systems that believe NUMA electronics that more tightly cluster them into shared recollection systems.

    There are a lot of questions about how this will live utter live packaged up and sold under the unwieldy title of the IBM Power Systems Virtual Server on IBM Cloud. But they will declare you utter that they know and fill you in as they learn more.

    The Power Systems slices served up on the IBM Cloud running IBM i and AIX were first rolled out for early access to selected customers to test the APIs for the control plane, which they posit is based on the PowerVC implementation of OpenStack. The initial customers who are kicking the tires were conjectural to only deploy progress and test environments or protype code, certainly not anything running in production. This was totally meant to live a proof of concept setup at this point, as you can behold from the rollout roadmap:

    The alpha and beta testing for the Power Systems slices on the IBM Cloud is on a pretty lickety-split track, running from February into March, as you can see, and universal availability is slated for some time in March. Probably somewhere towards the end, they would guess. IBM is initially making the Power puffs – what else can you convoke them as shorthand? – available in the early access tests in its US East datacenter in the Washington DC metro area; it is not pellucid what iron was used. The alpha and beta testing is being done on a collection of Power S922 scale out machines, which are based on a pair of Power9 processors and which frankly is a colossal box for most IBM i shops utter by itself, as well as on Power E880 scale up systems, which are being scaled up to sixteen sockets and which consume the older Power8 processors. utter of the machines consume ten-core processors, which are the sweet spot between performance, chip yield, and cost in the Power Systems line. The Power9 chips in the Power S922 servers hasten at 2.8 GHz and can turbo up to 3.9 GHz if there is enough thermal headroom; these chips searchfor like they may believe four threads per core (also known as SMT4), which is not as much threading as the criterion Power8 chip offers in scale out machines with SMT8 threading (eight threads per core) and twice as many cores per die (24 cores versus 12 cores). Anyway, it looks like the Power S922 is being equipped with the hefty cores, not the light ones. The Power8 chips in the Power E880 are running at 4.19 GHz and too champion SMT8 threading (there was only a hefty core here); utter sixteen cores are populated with ten-core Power8 chips, with a maximum scalability of 160 cores in a unique ratiocinative partition on the IBM Cloud.

    Both of the machines are being configured with 32 GB recollection sticks, which are again at the sweet spot between capacity, bandwidth, and cost per bit, and IBM is allowing customers to configure the machines with anywhere from 8 GB to 64 GB of main recollection per core. If you want denser recollection to bolster the capacity, you can double it up using 64 GB recollection sticks, and then double it up again to 128 GB sticks, but this will live a custom order and it will cost considerably more, they think. IBM is offering disk and glint storage up to 2 TB for local storage on the instances and growing at 10 GB increments. External storage for applications and databases is on Storwize V7000 disk arrays in the racks near this Power iron, and are linked to the servers by Fibre Channel switches. Customers can partake machines or rent dedicated iron, depending on their proclivities for absolute security and dealing with clangorous neighbors on the virtual infrastructure.

    Steve Sibley vice president and offering manager for the Cognitive Systems division at IBM, gave me a sneak peek at the future Power cloud slices on a visit to the Austin, Texas labs eventual week, ahead of the reflect conference. Here is how the features and functions of the ratiocinative partitions on the IBM Cloud are shaping up:

    Sibley told us that the pricing was not yet set in stone for the virtual Power capacity on the IBM Cloud, but when pressed about comparing the cost between buying gear and renting it on the cloud, Sibley estimated that for a given IBM i or AIX workload running on similarly configured hardware and ratiocinative partitions, running the cloud instance would cost about 30 percent to 40 percent more on the instance running plenary out over three years compared to buying the iron and using it for three years. The difference, of course, is that IBM is managing the Power Systems and paying for the datacenter, the electricity, the cooling, the security, patch updates on firmware, the installation of the PowerVM hypervisor and its update, and the installation of the IBM i or AIX operating system. When companies buy their own Power Systems machines, unless they enmesh augmented services from IBM or a business partner, it’s utter on them. Pricing for the virtual machines, the memory, the storage, and the operating system and databases are utter set per hour.

    By the way, it is not pellucid what IBM i and AIX releases are supported on the machines, but presumably the current IBM i 7.2 and IBM i 7.3 releases are supported on the IBM Cloud as well as AIX 7.1 and AIX 7.2, which are too current. Linux is not mentioned as a supported platform, but SAP HANA workloads are and that implies that there is a Linux – and specifically Red Hat Enterprise Linux – underneath it since HANA in-memory databases are not supported on any Unix variant, or IBM i for that matter.

    By March, IBM plans to believe the IBM i and AIX instances available in production in its US East (Washington DC) and US South (Dallas) regions, and in the second quarter IBM plans to roll it in its European datacenter in its EU Central (Frankfurt) region, with other datacenters coming out as claim pulls and IBM pushes.

    We will seize a searchfor at the pricing as soon as it becomes available and behold how it utter stacks up, and enmesh the thoughts of other IBM i cloud players about what colossal Blue is doing.

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    The long, laggard death of commercial Unix | killexams.com actual questions and Pass4sure dumps

    In the 1990s and well into the 2000s, if you had mission-critical applications that required zero downtime, resiliency, failover and lofty performance, but didn’t want a mainframe, Unix was your go-to solution.

    If your database, ERP, HR, payroll, accounting, and other line-of-business apps weren’t hasten on a mainframe, chances are they ran on Unix systems from four paramount vendors: Sun Microsystems, HP, IBM and SGI. Each had its own flavor of Unix and its own custom RISC processor. Servers running an x86 chip were at best used for file and print or maybe low-end departmental servers.

    Today it’s a x86 and Linux world, with some Windows Server presence. Virtually every supercomputer on the Top 500 list runs some flavor of Linux and an x86 processor. SGI is long gone. Sun lived on for a while through Oracle, but in 2018 Oracle finally gave up. HP Enterprise only ships a few Unix servers a year, primarily as upgrades to existing customers with frail systems. Only IBM is quiet in the game, delivering unique systems and advances in its AIX operating system.

    We aren’t going to dwell on how they got here. Instead, this is a searchfor at where commercial Unix is going, and how and when it will eventually die. (Note: We're specifically talking about the decline of commercial Unix. quiet flourishing are the free and open-source variants such as FreeBSD, which was born out of the Berkeley Software progress (BSD) project at the University of California, Berkeley, and GNU.)

    Unix's laggard decline

    Unix’s decline is “more of an artifact of the want of marketing appeal than it is the want of any presence,” says Joshua Greenbaum, principal analyst with Enterprise Applications Consulting. “No one markets Unix any more, it’s benign of a inanimate term. It’s quiet around, it’s just not built around anyone’s strategy for high-end innovation. There is no future, and it’s not because there’s anything innately wrong with it, it’s just that anything innovative is going to the cloud.”

    “The UNIX market is in inexorable decline,” says Daniel Bowers, research director for infrastructure and operations at Gartner. “Only 1 in 85 servers deployed this year uses Solaris, HP-UX, or AIX. Most applications on Unix that can live easily ported to Linux or Windows believe actually already been moved.”

    Most of what remains on Unix today are customized, mission-critical workloads in fields such as pecuniary services and healthcare. Because those apps are expensive and risky to migrate or rewrite, Bowers expects a long-tail decline in Unix that might eventual 20 years. “As a viable operating system, it’s got at least 10 years because there’s this long tail. Even 20 years from now, people will quiet want to hasten it,” he says.

    unix server sales GartnerGartner

    Gartner tracks the decline of unique Unix sales.

    Gartner doesn’t track install base, just unique sales, and the trend is down. In Q1 of 2014, Unix sales totaled $1.6 billion. By Q1 of 2018, sales were at $593 million. In terms of units, Unix sales are low, but they are almost always in the configuration of high-end, heavily decked-out servers that are much larger than your typical two-socket x86 server.

    IBM the eventual UNIX man standing

    It’s remarkable how tight-lipped people are over the state of Unix. Oracle and HPE declined to comment, as did several IBM customers. IBM is quiet in the game, but Bowers notes, “I behold IBM investing $34 billion in Red Hat, but I don’t behold IBM investing $34 billion in AIX.”

    Steve Sibley, vice president of cognitive systems offerings at IBM, acknowledges the obvious but says IBM will quiet believe a substantial number of clients on AIX in ten years, with the majority of clients being great Fortune 500 clients. He adds that there will too live a stable number of midrange customers in some ways “because they don’t want to expend the investment to enmesh off AIX.”

    Rob McNelly, senior AIX solutions architect at Meridian IT, a services provider and hefty AIX user, says there is an 80/20 rule for unique applications for AIX: 80% of customers don’t grow their AIX footprint, but 20% stays and expands in AIX.

    “Because 20% is the larger enterprise systems, it is a very colossal segment. In healthcare, many stable tier 1 production environments continue to invest and like the stability and security of AIX. Established and embedded ERP systems enact likewise at utter layers,” McNelly says.

    Many unique applications pursue Linux, which


    IBM Puffs Up Power Iron On Its Public Cloud | killexams.com actual questions and Pass4sure dumps

    IBM, which arguably has the largest remaining colossal iron server business in the world, is one step closer to making systems based on its own Power processors peers to the Xeon-based machinery that utterly dominates its IBM Cloud public cloud. With the latest moves, IBM now has scale-out and scale-up systems based on a merge of its Power8 and Power9 processors available for rent, but these systems are only for the moment running its own AIX variant of Unix and its own IBM i proprietary operating system.

    It would not seize more than a few minutes to load up Linux partitions on the machinery IBM is starting to rollout in several of its datacenters. So don’t reflect for a minute that IBM is not going to eventually add champion for Linux on this public Power infrastructure that it is rolling out. To live honest, it is a bit of a phenomenon that it is not happening concurrent with the rollout of AIX and IBM i on the cloud.

    IBM has been providing hosting and outsourcing services for rent for six decades now, so it is a bit much to convoke it a newcomer to selling cloudy infrastructure. The company has dabbled with selling capacity with utility pricing before. bethink the gross Supercomputing On-Demand pains back in January 2003? This included clusters of systems – people called them grids back then – based on both X86 and Power architectures, with capacity rented, not bought, and it preceded the launch of Amazon Web Services by more than three years. But it is objective to squawk that colossal Blue did not respond quickly enough to build its own public cloud – neither did other system makers and outsourcers, to live objective – and that is why to enmesh back in the game it had to expend around $2 billion to acquire SoftLayer, a hosting provider that moved into virtualized and bare metal clouds that had amassed 25,000 customers and a fleet of over 100,000 servers in 13 datacenters when IBM bought it back in June 2013.

    SoftLayer had built its own cloud controller and used the commercial XenServer hypervisor from Citrix Systems to chop up Supermicro servers into virtual slices. IBM sold off its System x X86-based server business to Lenovo a year later for $2.3 billion, so there was no judgement to jog SoftLayer, now known as the IBM Cloud over to System x gear. And the Lenovo cash paid back most of the SoftLayer bill. IBM invested another $1.2 billion in SoftLayer right after the deal was done, and had hoped to build out 40 cloudy datacenters, with hundreds of thousands of machines and millions of virtual machines. They enact not know if IBM met these goals, and it doesn’t talk about them anymore in this way.

    It took a surprisingly long time for IBM to enmesh Power-based machines on its public cloud, and it is pellucid in hindsight that colossal Blue was waiting until its Power8 servers were fully ramped and it came up with a more cogent Linux strategy on Power Systems machines to really thrust Power architectures from the SoftLayer cloud, which it launched in May 2016. The four bare metal instances that debuted then based on its Power Systems LC machines are quiet available today, based on the identical single-socket “Habanero” system created by Tyan, with slightly different prices and with the identical configurations that were available nearly three years ago. These Power Systems LC machines champion Red Hat Enterprise Linux and Canonical Ubuntu Server operating systems and the PowerKVM hypervisor, but only Ubuntu Server was available on the cloudy versions on what is now known as the IBM Cloud. The Power instances are available in IBM Cloud datacenters in San Jose, Dallas, Washington DC, Sao Paulo, London, and Sydney.

    IBM has not, as yet, offered cloudy instances of machines running AIX and IBM i, and it has similarly not offered bigger iron – both of which it sorely needed to enact to actually offer potential customers the identical class of machines on the cloud as they believe used in their datacenters.

    With today’s launch, IBM is getting a bit closer, but it is a diminutive disconcerting that IBM Cloud is only offering SAP HANA in-memory databases atop Linux for running S/4 HANA applications on four-socket and eight-socket “Haswell” Xeon E7-4800 and E7-8800 servers. IBM’s enterprise-class Power E950 and Power E980 machines, which consume Power9 processors and which scale to four or sixteen sockets, respectively, can hasten circles around this frail Haswell iron. IBM’s Global Technology Services does plenty of outsourcing deals on such iron for running SAP HANA, which is a huge driver of the Power Systems business these days, but that is not the identical thing as having right utility pricing. (We will enmesh into SAP HANA on Power in a separate article, because IBM has some unique advantages that it is leveraging well here, and it is taking on Hewlett Packard Enterprise for the mantle in this enterprise arena.) IBM does diagram to offer SAP HANA on the unique Power cloud instances, so that implies that IBM is going to champion Linux underneath it. And that too implies that it can champion Linux – and they posit Red Hat Enterprise Linux, considering that IBM is spending $34 billion to acquire Red Hat – on these Power slices on the IBM Cloud.

    IBM is chopping up two different types of Power machines on the most recent public cloud, and they are far more useful than the single-socket machines that came out three years ago. In one instance, the Power S922, which is a two-socket machine, is equipped with a pair of ten-core Power9 chips that believe a base accelerate of 2.8 GHz and that hasten up to 3.9 GHz in Turbo Boost mode. This server tops out at 4 TB of capacity using 2.67 GHz DDR4 recollection sticks, and it seems highly unlikely that IBM has configured it this artery given the cost of main recollection these days. Steve Sibley vice president and offering manager for the Cognitive Systems division at the company, tells The Next Platform that IBM is allowing customers to scale from 8 GB to 64 GB of recollection per core, which implies IBM is using much cheaper 32 GB recollection sticks. Customers who exigency a larger recollection footprint – they can double or quadruple this – can pay an incremental charge and IBM will load up some Power S922 machines with more capacity. The Power S922 servers are configured with disk and glint storage, and the instances can believe anywhere from 10 GB to 2 TB of capacity on either, sold in 10 GB chunks.

    IBM is too selling slices on a Power E880 servers based on Power8 chips and is planning on adding slices on Power E980 machines that are based on Power9 processors. Both machines scale from four to sixteen sockets, and in the case of the Power E880, IBM has set up systems that consume the ten-core Power8 chip that spins at 4.19 GHz to deliver systems that scale up to 160 cores in a unique system image. The recollection and storage on this cloudy Power E880 scales the identical as on the Power S922, with 8 GB to 64 GB per core for recollection and up to 2 TB of disk and/or glint storage scalable in 10 GB increments.

    Both types of Power Systems on the IBM Cloud are back-ended by capacity on IBM’s Storwize V7000 disk arrays, which link to the servers over Fibre Channel links. IBM installs the PowerVM hypervisor and either AIX or IBM i (and presumably Linux in the case of SAP HANA) and then customers maintain everything from the operating system and on up from there while IBM manages from the firmware on down.

    Here is the set of features that IBM is rolling out for these Power instances:

    IBM has been beta testing this cloudy Power infrastructure in its Washington DC data center since the middle of January. By March, IBM will believe machines up and running in its Dallas datacenter as well and it will allow production workloads to build consume of them. Somewhere in the second quarter it will roll out Power System slices in its Frankfurt datacenter in Germany, with other geographies to follow. It is not pellucid when the Power E980 will live brought to the cloud, but what they hear is that claim very lofty for this machine in the fourth quarter and into the first quarter that IBM wants to sell utter of those machines it can to customers that are buying the gross boxes, not renting slices on them.

    The pricing on the Power Systems Virtual Server on IBM Cloud has not been finalized yet, but the metering on the processor, memory, and storage is done by the hour. But Sibley likes to enact math like they enact here at The Next Platform, and he estimates that in like-for-like configurations, if you ran a cloud instance plenary out for three years it would cost somewhere between 30 percent and 40 percent more on the IBM Cloud as it would to acquire it and operate it. This is a very reasonable premium, considering IBM is paying power, cooling, datacenter, switching, and management costs. IBM is too offering hourly license fees for AIX and IBM i, the latter of which includes an integrated relational database management system. Presumably IBM’s own DB2 relational database and its WebSphere middleware stack will live available on the machines with hourly pricing, and ditto for Oracle and SAP HANA databases. And in cases where you exigency to demonstrate dedicated capacity – a requirement for database licensing usually – IBM can lock down a slice of a machine, or the gross thing. And finally, the Power slices running on the IBM Cloud will live provisioned using Terraform, an open source instrument from HashiCorp, that is too used by the IBM Cloud Private stack, so it will live workable to jog virtual machines from private to public capacity and back again if necessary.

    So how will customers consume this cloudy Power iron? “I reflect initially people will start by testing out their progress and test environments and behold if it can hasten out here,” says Sibley. “I too reflect they will behold people using the cloud for cataclysm recovery for Power Systems, because while companies reflect it is alright to own one datacenter, they don’t want to own two. And there is too a line of business angle, too. They believe one customer that is starting a unique business, and they want to start it out on the cloud on Power, and maybe some day they will jog it back to their datacenter and maybe they will hold it there on the cloud.”

    We hope before too long IBM will live ramping up the PowerKVM hypervisor on the Power S922 machines so Linux can live supported there in a more autochthonous format, and that Linux will live added to the colossal iron Power E880 and Power E980 boxes using the PowerVM hypervisor. They would not live at utter surprised to behold the Power E950 systems running AIX and Linux issue utter sliced up on the IBM Cloud, either.



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