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Test Code : 000-123
Test Name : Power Systems with POWER7 and AIX & Linux Sales Skills -v2
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IBM Power Systems with POWER7

IBM Refreshes gadget P Line with POWER7-based items | killexams.com Real 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 equipment p server line with several new POWER7-based mostly techniques. The newest POWER7 entries won't ship unless September 17.

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

    massive Blue isn't simply considering large, however: it also unveiled 4 device p "categorical" entries -- i.e., smaller, much less-costly systems slated for the mid-market. IBM's POWER7 push additionally comprises a committed equipment -- viz., the smart Analytics equipment 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 big Blue's latest effort 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 single power-based mostly categorical equipment, the vigour 720.

    during this case, huge Blue is betting that a a whole lot lessen can charge (enabled partly through the use of POWER7 chips that may otherwise had been discarded) as well as an skill to run 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 vigor 710 and the vigor 730. Add all of it up and you've got what appears like a good effort to take on the commodity server section -- a historically challenging section to crack.

    Proprietary Redux

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

    To make sure, big 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 be dedicated to homegrown silicon efforts comparable to POWER7, which powers (in a single form or an extra) its system i, device p, and system z hardware strains.

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

    HP and Intel continue to put 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.) push their personal proprietary CMOS flavors, but none can point to the form of earnings performance (relative to revenue of aggressive, non-commodity systems) that IBM can.


    IBM POWER7 equipment Lineup Grows | killexams.com Real Questions and Pass4sure dumps

    It appears that superior and sooner transistors product of graphene aren't all that IBM is engaged on, given that its fresh press free up speaks of a new 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 couple of of its outlets.

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

    "Our strategy looks to be 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 be 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 intense 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 get results as much as eight times faster than working the identical calculations on an Intel Xeon processor. Calculations that used to take a month to run at the moment are comprehensive in lower than every week. This means that i will be able to do eight instances greater science within the equal timeframe than I might do earlier than."

    This page may still have suggestions on the rest regarding IBMs smarter computing initiative.


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

    prior during this decade, when the hyperscalers and the academics that run with them were building computing device researching frameworks to transpose all 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 solve actual company problems and addressing the needs of valued clientele the use of their software.

    at the equal time, IBM become trying to clear up a unique issue, naming creating a query-reply system that would anthropomorphize the quest engine. This effort changed into called project Blue J interior of IBM (not to be puzzled with the open source BlueJ built-in development 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 couple 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 important thing a part of the WatsonQA equipment 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 make Watson a product for sale, IBM provided it as a carrier, and pumped the QA system crammed with facts to tackle the healthcare, financial capabilities, power, promoting and media, and schooling industries. This changed into, in all 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 way 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 clear if Watson is material to IBM’s revenues, however what is apparent is that machine discovering is strategic for its programs, utility, and services organizations.

    So that is why IBM is ultimately bringing together all 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 be run on inner most datacenters and in other public clouds anyway the one which IBM runs. To be genuine, the Watson services as smartly as the PowerAI machine studying practising frameworks and adjunct equipment tuned up to run on clusters of IBM’s power techniques machines, are being brought collectively, and they'll be put into Kubernetes containers and distributed to run 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 new and comprehensive Watson stack with IBM Cloud deepest stack that makes it moveable across private datacenters and different clouds.

    incidentally, as a part 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 part 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 bias and fairness detection. The software previously referred to as PowerAI and PowerAI business will continue to be developed with the aid of the Cognitive methods division. The Watson division, if you aren't frequent with IBM’s organizational chart, is a part 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 all of this software to run on purple Hat commercial enterprise Linux and its personal KVM digital machines and OpenShift implementation of Kubernetes and then push in fact complicated.

    it's likely constructive to overview what PowerAI is all about after which reveal 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 have deployed PowerAI equipment to run desktop learning frameworks on its power systems iron, and obviously GPU-accelerated systems just like the power AC922 equipment 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 do AI work. here's a gorgeous first rate beginning for a nascent business and a platform that is comparatively new to the AI crowd, but most likely not so distinct for business customers which have used energy iron in their database and application tiers for many years.

    The preliminary PowerAI code from two years ago began with models of the TensorFlow, Caffe, PyTorch, and Chainer desktop studying frameworks that big Blue tuned up for its energy processors. The large innovation with PowerAI is what is known as enormous mannequin assist, which makes use 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 vigor processors and tweaks to the Linux kernel – to permit lots higher neural community training models to be loaded into the equipment. all of the PowerAI code is open supply and dispensed as code or binaries, and thus far most effective on vigor processors. (We suspect IBM will go agnostic on this ultimately, considering that Watson equipment need to run on the huge public clouds, which with the exception now of the IBM Cloud, will not have 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 part of a subscription. PowerAI commercial enterprise provides Message Passing Interface (MPI) extensions to the desktop gaining knowledge 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 also added what it calls the Deep researching have an effect on module, which contains equipment for managing information (similar to ETL extraction and visualization of datasets) and managing neural community models, including wizards that imply how to most excellent use data and models. On correct of this stack, IBM’s first business AI utility that it's promoting is called PowerAI imaginative and prescient, which may also be used to label graphic and video records for training fashions and immediately teach models (or increase latest fashions provided with the license).

    So after all of the changes, here's what the new 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 big 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 important 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 help 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 all through the primary quarter, but after that PowerAI commercial enterprise should be introduced into the Watson stack to add the distributed GPU laptop getting to know practising and inference capabilities atop vigor iron to that stack. So Watson, which all started out on Power7 machines taking part 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 run 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 have with reference to compute, I/O and memory bandwidth, and coherent memory throughout CPUs and GPUs, that may also no longer be as a whole lot of an have an impact on as they could think. The X86 structure will have 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 real 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 development 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 Think conference in Las Vegas, on scale out machines aimed at small and medium businesses as well as to customers who want to run clusters of machines, and on scale up systems that have NUMA electronics that more tightly cluster them into shared memory systems.

    There are a lot of questions about how this will be all be packaged up and sold under the unwieldy name of the IBM Power Systems Virtual Server on IBM Cloud. But they will tell you all 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 presume is based on the PowerVC implementation of OpenStack. The initial customers who are kicking the tires were supposed to only deploy development and test environments or protype code, certainly not anything running in production. This was totally meant to be a proof of concept setup at this point, as you can see from the rollout roadmap:

    The alpha and beta testing for the Power Systems slices on the IBM Cloud is on a pretty fast track, running from February into March, as you can see, and general 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 call them as shorthand? – available in the early access tests in its US East datacenter in the Washington DC metro area; it is not clear 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 big box for most IBM i shops all by itself, as well as on Power E880 scale up systems, which are being scaled up to sixteen sockets and which use the older Power8 processors. All of the machines use 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 run at 2.8 GHz and can turbo up to 3.9 GHz if there is enough thermal headroom; these chips look like they may have four threads per core (also known as SMT4), which is not as much threading as the normal 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 heavy cores, not the light ones. The Power8 chips in the Power E880 are running at 4.19 GHz and also support SMT8 threading (there was only a heavy core here); all sixteen cores are populated with ten-core Power8 chips, with a maximum scalability of 160 cores in a single logical partition on the IBM Cloud.

    Both of the machines are being configured with 32 GB memory 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 memory per core. If you want denser memory to bolster the capacity, you can double it up using 64 GB memory sticks, and then double it up again to 128 GB sticks, but this will be a custom order and it will cost considerably more, they think. IBM is offering disk and flash 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 share machines or rent dedicated iron, depending on their proclivities for absolute security and dealing with noisy 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 last week, ahead of the Think conference. Here is how the features and functions of the logical 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 logical partitions, running the cloud instance would cost about 30 percent to 40 percent more on the instance running full 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 get augmented services from IBM or a business partner, it’s all on them. Pricing for the virtual machines, the memory, the storage, and the operating system and databases are all set per hour.

    By the way, it is not clear 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 also 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 have 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 demand pulls and IBM pushes.

    We will take a look at the pricing as soon as it becomes available and see how it all stacks up, and get the thoughts of other IBM i cloud players about what Big Blue is doing.

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    The long, slow death of commercial Unix | killexams.com real 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 high 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 run on a mainframe, chances are they ran on Unix systems from four dominant 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 old systems. Only IBM is still in the game, delivering new systems and advances in its AIX operating system.

    We aren’t going to dwell on how they got here. Instead, this is a look 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. Still flourishing are the free and open-source variants such as FreeBSD, which was born out of the Berkeley Software Development (BSD) project at the University of California, Berkeley, and GNU.)

    Unix's slow decline

    Unix’s decline is “more of an artifact of the lack of marketing appeal than it is the lack of any presence,” says Joshua Greenbaum, principal analyst with Enterprise Applications Consulting. “No one markets Unix any more, it’s kind of a dead term. It’s still 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 be easily ported to Linux or Windows have actually already been moved.”

    Most of what remains on Unix today are customized, mission-critical workloads in fields such as financial services and healthcare. Because those apps are expensive and risky to migrate or rewrite, Bowers expects a long-tail decline in Unix that might last 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 still want to run it,” he says.

    unix server sales GartnerGartner

    Gartner tracks the decline of new Unix sales.

    Gartner doesn’t track install base, just new 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 form of high-end, heavily decked-out servers that are much larger than your typical two-socket x86 server.

    IBM the last 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 still in the game, but Bowers notes, “I see IBM investing $34 billion in Red Hat, but I don’t see IBM investing $34 billion in AIX.”

    Steve Sibley, vice president of cognitive systems offerings at IBM, acknowledges the obvious but says IBM will still have a substantial number of clients on AIX in ten years, with the majority of clients being large Fortune 500 clients. He adds that there will also be a stable number of midrange customers in some ways “because they don’t want to spend the investment to get off AIX.”

    Rob McNelly, senior AIX solutions architect at Meridian IT, a services provider and heavy AIX user, says there is an 80/20 rule for new 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 big segment. In healthcare, many stable tier 1 production environments continue to invest and enjoy the stability and security of AIX. Established and embedded ERP systems do likewise at all layers,” McNelly says.

    Many new applications pursue Linux, which


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

    IBM, which arguably has the largest remaining big 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 mix 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 take 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 think for a minute that IBM is not going to eventually add support for Linux on this public Power infrastructure that it is rolling out. To be honest, it is a bit of a wonder 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 call it a newcomer to selling cloudy infrastructure. The company has dabbled with selling capacity with utility pricing before. Remember the whole Supercomputing On-Demand effort 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 fair to say that Big Blue did not respond quickly enough to build its own public cloud – neither did other system makers and outsourcers, to be fair – and that is why to get back in the game it had to spend 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 reason to move 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 do 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 get Power-based machines on its public cloud, and it is clear in hindsight that Big 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 push 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 still available today, based on the same single-socket “Habanero” system created by Tyan, with slightly different prices and with the same configurations that were available nearly three years ago. These Power Systems LC machines support 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 do to actually offer potential customers the same class of machines on the cloud as they have used in their datacenters.

    With today’s launch, IBM is getting a bit closer, but it is a little 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 use Power9 processors and which scale to four or sixteen sockets, respectively, can run circles around this old 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 same thing as having true utility pricing. (We will get 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 plan to offer SAP HANA on the new Power cloud instances, so that implies that IBM is going to support Linux underneath it. And that also implies that it can support Linux – and they presume 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 have a base speed of 2.8 GHz and that run up to 3.9 GHz in Turbo Boost mode. This server tops out at 4 TB of capacity using 2.67 GHz DDR4 memory sticks, and it seems highly unlikely that IBM has configured it this way given the cost of main memory 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 memory per core, which implies IBM is using much cheaper 32 GB memory sticks. Customers who need a larger memory footprint – they can double or quadruple this – can pay an incremental price and IBM will load up some Power S922 machines with more capacity. The Power S922 servers are configured with disk and flash storage, and the instances can have anywhere from 10 GB to 2 TB of capacity on either, sold in 10 GB chunks.

    IBM is also 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 use the ten-core Power8 chip that spins at 4.19 GHz to deliver systems that scale up to 160 cores in a single system image. The memory and storage on this cloudy Power E880 scales the same as on the Power S922, with 8 GB to 64 GB per core for memory and up to 2 TB of disk and/or flash 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 have machines up and running in its Dallas datacenter as well and it will allow production workloads to make use 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 clear when the Power E980 will be brought to the cloud, but what they hear is that demand very high for this machine in the fourth quarter and into the first quarter that IBM wants to sell all of those machines it can to customers that are buying the whole 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 do math like they do here at The Next Platform, and he estimates that in like-for-like configurations, if you ran a cloud instance full 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 also 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 be available on the machines with hourly pricing, and ditto for Oracle and SAP HANA databases. And in cases where you need to demonstrate dedicated capacity – a requirement for database licensing usually – IBM can lock down a slice of a machine, or the whole thing. And finally, the Power slices running on the IBM Cloud will be provisioned using Terraform, an open source tool from HashiCorp, that is also used by the IBM Cloud Private stack, so it will be possible to move virtual machines from private to public capacity and back again if necessary.

    So how will customers use this cloudy Power iron? “I think initially people will start by testing out their development and test environments and see if it can run out here,” says Sibley. “I also think they will see people using the cloud for disaster recovery for Power Systems, because while companies think it is alright to own one datacenter, they don’t want to own two. And there is also a line of business angle, too. They have one customer that is starting a new business, and they want to start it out on the cloud on Power, and maybe some day they will move it back to their datacenter and maybe they will keep it there on the cloud.”

    We expect before too long IBM will be ramping up the PowerKVM hypervisor on the Power S922 machines so Linux can be supported there in a more native format, and that Linux will be added to the big iron Power E880 and Power E980 boxes using the PowerVM hypervisor. They would not be at all surprised to see the Power E950 systems running AIX and Linux appear all sliced up on the IBM Cloud, either.



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