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000-084 exam Dumps Source : System x High Performance Servers Technical Support V3
Test Code : 000-084
Test Name : System x High Performance Servers Technical Support V3
Vendor Name : IBM
Q&A : 41 Real Questions
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keeping up with quantum computing bulletins is more and more challenging. nowadays, IBM issued a paper outlining a strategy for error mitigation in these days’s noisy QCs. ultimate week IonQ posted a paper benchmarking its ion trap equipment and declared, “our gadget outperforms all different at the moment accessible hardware” while a Microsoft-led community introduced formation of the Northwest Quantum Nexus. yesterday D-Wave techniques introduced expansion of its net portal soar all over its user meeting (Qubits Europe 2019, Milan) which includes trade heavyweights equivalent to BMW, G.E. research, and Volkswagen.
frequent use of purposeful quantum computing may be years away, but the forefront is pushing incessantly ahead. listed here are bullets for 5 recent quantum bulletins with slightly extra counsel on just a few them under:
IonQ charges into Quantum Race
Let’s delivery with IonQ, in all probability lesser commonly used than quantum efforts by way of IBM, Microsoft, and D-Wave. It turned into situated in 2016 by a pair of distinguished quantum computing researchers – Chris Monroe (university of Maryland and Joint Quantum Institute) and Jungsang Kim (Duke school) – to take ion entice quantum computing from the lab to market. Monroe (CEO) and Kim (CSO) are leveraging technology they helped developed and have licensed from UM and Duke.
Most of us are more conventional with semiconductor-based quantum computing expertise which dominates the quantum computing panorama. Ion entice know-how has also been round for a long time and NIST (national Institute of necessities and know-how) has lengthy experimented with it, now not least to be used in atomic clocks. The ion traps used in quantum computing are not so distinct from the ion traps used in spectrometry. commonly, the technology comprises trapping ions in an electromagnetic container and the use of them as qubits. while “gate switching” times are slower than semiconductor techniques, reminiscence instances are sophisticated using ions traps.
here’s slightly extra on how the IonQ system works: “Our qubit register is constituted of a series of trapped 171Yb+ ions, spatially restrained near a microfabricated floor electrode lure. For this work, we load 13 ions, the core eleven of that are used as qubits. both end ions allow for a greater uniform spacing of the relevant 11 ions. The ions are laser-cooled near their motional ground state the use of a mixture of Doppler and resolved sideband cooling. We encode quantum suggestions into the hyperfine sublevels…at the start of each computation, every qubit is initialized to |0⟩by way of optical pumping with high accuracy. After qubit operations (described below), we study out the state of all of the qubits simultaneously by way of directing laser light resonant with the 2S1/2 |F = 1⟩to 2P1/2 transition, imaging every ion onto a detector and thresholding the photon counts to investigate if every qubit was within the |1⟩(spin up) or |0⟩(spin down) state.” (See figure on right, click to amplify.)
Monroe commented in the announcement, “The precise test of any desktop is what can it do in a real-world environment. We challenged our computer with complicated models of two frequent algorithms that exhibit the advantages of quantum computing over conventional devices. The IonQ quantum desktop proved it may handle them. functional benchmarks like these are what we should see all over the industry.”
this is excerpted from the abstract on the benchmark performance:
“as an instance the capabilities of this general platform and provide a foundation for assessment with similarly-sized gadgets, we collect the Bernstein-Vazirani (BV) and Hidden Shift (HS) algorithms into our native gates and execute them on the hardware with commonplace success costs of seventy eight% and 35%, respectively. These algorithms serve as fantastic benchmarks for any type of quantum hardware, and demonstrate that our gadget outperforms all different currently available hardware.”
The Bernstein-Vazirani and Hidden Shift algorithms used in this experiment instruct a computer to discover a hidden number out of a group of viable numbers. The company said, “IonQ has solved for all possible 1024 hidden numbers with their 11-qubit computer, a extra elaborate task than has been attempted earlier than on a quantum laptop. every check is in line with a components that a traditional desktop can only solve with the aid of brute force…Quantum computer systems, in thought, can find these options in a single calculation by way of measuring all feasible outputs concurrently.”
It may be unique to watch how ion lure quantum computing advances. last August, NSF launched an ambitious program, application tailored architecture for Quantum Design (STAQ), whose purpose is to construct a sixty four-bit ion entice QC and associated utility stack capable of tackling issues classical computer systems combat with. (For extra guidance see HPCwire article, STAQ(ing) the Quantum Computing Deck)
IBM – Two Wrongs Make a correct…sort of
IBM’s contemporary work tackles probably the most thorniest issues in quantum computing, error correction, or in this case error mitigation. IBM has come up with a workaround that shows promise and is introduced in a paper published today in Nature (Error mitigation extends the computational reach of a loud quantum processor) and discussed in an IBM weblog via Jay Gambetta, IBM Fellow, and Abhinav Kandala, analysis workforce member, who describe the issue very well.
“Even at the extreme bloodless temperatures of a dilution fridge where the quantum processors function, our actual computing elements, superconducting qubits, have coherence times on the order of a couple of hundred microseconds at premiere, which units the timescales over which quantum assistance is lost,” they write. “while a huge problem to advancing quantum computers today includes expanding these qubit coherence times, the conclusion goal is to build a totally fault tolerant quantum desktop able to detecting and correcting errors. despite the fact, these architectures are probably several years away.”
IBM takes a perhaps counterintuitive method by which two incorrect solutions – truly many incorrect answers – can act as a e-book to the relevant reply. “We exhibit that repeating the computation at varying ranges of noise lets us estimate what the quantum computer would calculate within the absence of noise. To try this involves a little bit of a “stretch” – the microwave pulses used to operate quantum operations on the qubits are stretched in time with a view to controllably amplify the noise. The error mitigation method dubbed “zero-noise extrapolation”, is with no trouble available for present quantum computers for the reason that it doesn’t require any further hardware changes,” write Gambetta and Kandala. (See determine from IBM paper under, click on to magnify.)
The strategy, say IBM researchers, may be permit tackling longer greater complex complications as well as being a conventional purpose technique.
“Computations on noisy quantum hardware are limited with the aid of the competition between decoherence and circuit depth, a measure of the number of sequential operations performed on the processor. expanding circuit depth can help create more complicated quantum states, and within the context of chemistry simulation, this may also allow for a much better illustration of the energy states of the molecules considered. besides the fact that children, increasing circuit depth on a loud quantum computer usually implies increased error from decoherence. [W]ith the method developed during this work, our potential to mitigate the effect of decoherence permits us to entry extra complicated and correct computations that improvement from extended circuit depth.”
whereas the brand new protocol enabled computational accuracies that were in any other case inaccessible to the hardware, the authors warning that it is important to respect that the improvements don't seem to be indefinite and are eventually confined with the aid of the coherence residences of the processor. “As we march towards methods with expanding Quantum quantity, enhanced coherence, quantum manage, and circuit compilation will all make a contribution to extending the reach to even longer quantum circuits with extra qubits,” they write.
D-Wave: It’s All in regards to the functions
D-Wave is still the only company of commercially attainable quantum computers even though they remain (now not construction) research machines. Its technology – adiabatic annealing – is quite distinct from standard gate-based fashions. That pointed out most QC watchers now agree D-wave’s strategy is an excellent contender for solving courses of optimization problems. lately, the company unveiled an 18-month roadmap that contains making a 5000-qubit device (see HPCwire article, D-Wave Previews subsequent-Gen Platform; Debuts Pegasus Topology; aims 5000 Qubits).
The emphasis at this week’s D-Wave’s user meeting is on showcasing growth towards precise-world applications. D-Wave says “purchasers have constructed over 150 early functions on D-Wave computers up to now” and lists right here spotlight topics from the convention:
“The way forward for practical quantum computing relies on giving extra developers and researchers the entry and tools they deserve to build quantum functions. increasing leap globally and bringing customers from everywhere together to share their work is severely crucial to realizing that vision,” said Vern Brownell, CEO of D-Wave in the legit announcement. “I’ve certainly not been greater confident that true useful quantum applications are close by in the close future. The latitude and robustness of early functions from our shoppers continues to develop, and shoppers are beginning to see early value in using quantum computing to tackle true-world enterprise issues.”
Northwest Quantum Nexus units Aggressive Agenda
obviously these are early days however the newly-introduced Northwest Quantum Nexus is without delay relocating to set up instructions. At a two-day summit final week asserting NQN, the community issued right here commentary:
“based on the desires of the country wide Quantum Initiative Act, the Northwest Quantum Nexus hurries up Quantum suggestions Science (QIS) to advance a quantum economy and team of workers in the stronger Pacific Northwest location of the USA and Canada. The excessive concentration of quantum pastime within the Northwest makes it one of the exact areas globally to handle key QIS wants. The purpose of the two-day Summit this week is to assemble the location’s specialists who can outline the vicinity’s knowledge to power quantum computing’s future.
Its goals encompass:
Todd Holmdahl, company VP of Microsoft Quantum, observed “The Northwest Quantum Nexus represents yet another huge step toward the construction of scalable, stable quantum computer systems. The partnership just makes lots of sense – we’re already one of the top areas in the world for quantum research, and the Nexus will assist us leverage that abilities to build a quantum-ready team of workers and increase the location and nation’s quantum ecosystem.”
characteristic illustration caption: Single qubit trajectories measured at different noise stages (pink, eco-friendly) are used to estimate the error-mitigated trajectory (blue). supply: IBM
link to IonQ paper: https://arxiv.org/pdf/1903.08181.pdf
hyperlink to IonQ announcement: https://ionq.co/news/march-21-2019-new-benchmarks
link to IBM paper: https://www.nature.com/articles/s41586-019-1040-7
hyperlink to IBM blog: https://www.ibm.com/blogs/research/2019/03/noise-amplification-quantum-processors
link to D-Wave announcements: https://www.dwavesys.com/press-releases/d-wave-expands-bounce-quantum-cloud-carrier-and-utility-atmosphere-europe-and
hyperlink to X9: https://x9.org
IBM researchers discovered a technique to in the reduction of noise in quantum computing by amplifying noise at measurable intervals, and extrapolating a change to calculate a "zero-noise" result.
as a way to prolong the computational capability of latest-technology quantum computer systems, IBM announced Wednesday a way known as "zero-noise extrapolation" that improves the accuracy of computations through repeating a given application varied instances with various degrees of managed noise. collectively, these calculations with diverse ranges of noise can be used to estimate the result of a calculation in an amazing condition where no noise exists.
The effects of environmental noise on quantum computers can be rather dramatic, even in small portions. Computations on latest quantum hardware are restrained through a brief coherence time—the quantity of effective operational time in a calculation before quantum tips is lost—and circuit depth, which measures the number of sequential operations that can also be carried out.
SEE: Managing AI and ML in the enterprise 2019: Tech leaders are expecting extra problem than outdated IT tasks (Tech pro research)
Zero-noise extrapolation is, pretty much, the conception that, "if you had a way of controllably amplifying the power of your noise, you could then extrapolate returned to what your quantum laptop would have been capable of compute within the absence of that noise," IBM research scientist Abhinav Kandala instructed TechRepublic. "that you would be able to suppose of this as measuring many wrongs to reconstruct the appropriate reply. by means of doing that, we very nearly see that we had been capable of achieve accuracies that would were otherwise inaccessible to our hardware."
The experiment, as introduced in "Extending the computational reach of a noisy superconducting quantum processor," was performed on four qubits of a 5-qubit gadget, notwithstanding Kandala notes that "there is nothing fighting us from scaling this to higher methods." notwithstanding refinements in manufacturing quantum methods will cut back the amount of noise that occurs naturally, this is a near-term answer for presently purchasable Noisy Intermediate-Scale Quantum (NISQ) machines, featuring 10 instances development in accuracy within the test, notwithstanding Kandala warns that figure may be distinct counting on the category of difficulty.
The applicability of zero-noise extrapolation will proceed, as "regardless of the entire advancements that we will have in error charges and coherence times, there'll nonetheless be noise, and this noise will nonetheless have an effect on computations that we attempt on our quantum computers," Kandala referred to. "basically all these advancements will compound the reach of this technique."
This system has produced observable benefits when the usage of quantum computers, proposing the skill to entry longer circuit depths. "within the context of a chemistry simulation, we might prepare states which improved represent the states of the molecule you might be attempting to simulate, and that was giving it computation accuracy," Kandala referred to. "here is what the pastime of quantum computing is: You want to prepare states which don't seem to be so obtainable to classical computation."
IBM's development brings purposeful use of quantum computer systems for groups one step closer to fact, as corporations are more and more turning to quantum computers for path optimization and other logistics initiatives.
This news wraps up a month of high-profile bulletins for IBM's quantum computing initiatives. On March four, the company introduced the availability of a quantum desktop with a quantum extent of sixteen, a new excessive for the company, which IBM claims puts it not off course to reach quantum talents in the subsequent decade, and doubles the efficiency of the methods available remaining yr.
On March 19, IBM unique their efforts to deliver computer studying to quantum computer systems, making a guide-vector network on a quantum system for the first time, the usage of the zero-noise extrapolation formula.
For extra on IBM Q, take a look at "IBM opens Q community Hub in Tokyo to assist companies explore quantum computing," as well as TechRepublic's cheat sheet for quantum computing.next massive factor e-newsletter
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March 20, 2019 Alex Woodie
There comes a time in each utility’s existence when its proprietor should take a tough examine its endured viability and ask the tough question: Will the software continue to fulfill the company’s evolving wants, or should still the entire element be scrapped for anything new? These business and expertise assessments can be above all hard when the utility runs on the IBM i server.
Many agencies nowadays need to modernize their ageing IT systems in the hopes of gaining more agility and suppleness. no matter if you call it digital transformation or software modernization, the desires are sometimes similar: Simplify the underlying code base, improving code maintainability, and making it less complicated to put into effect new performance or combine with backyard methods.
in many instances, these modernization/transformation efforts call for doing away with the monolithic codebases that usually defined functions developed within the 80s and 90s. in its place of advanced classes composed of thousands and thousands of intertwined strains of RPG or COBOL code, businesses are trying to find to destroy up spaghetti code into greater discrete chunks, which can be uncovered as microservices, often generated in additional up to date languages, like Java, Python, or personal home page. This step on my own can improve the agility of the utility engineering group via making the code less difficult to preserve and run (no longer to mention allowing the HR department to pick from a bigger pool of IT candidates).
The IBM i platform, because of its legendary balance and reliability, runs greater than its share of monolithic legacy codebases, which means that it’s commonly the goal of modernization/transformation initiatives. know-how advisor invoice Kleyman has been in a number of such technology assessments, including one contemporary engagement that worried migrating an getting old IBM i-based mostly enterprise application to the cloud.
Kleyman tells IT Jungle that this certain enterprise, which he declined to identify, had up to now tried emigrate faraway from this important IBM i environment in 2015 and failed. In 2018, the business – which is based mostly in Canada and helps greater than 600 outlets and locations around North the united states – engaged Kleyman’s old service provider, EPAM methods, and succeeded in migrating a essential IBM i-based mostly utility to the cloud.big Cloud Migration
This specific migration became big and concerned 15 to 18 agile groups working in one-week sprints over the direction of a few year, while the application persisted to be used by the enterprise’s 25,000 or so employees.
in keeping with Kleyman, the migration involved reverse engineering 6 million traces of Synon and RPG code; rewriting them in Java the use of a micro-services based method; migrating greater than 1,000 database tables in Db2 for i to MariaDB; rewriting essentially 200 integration points; moving from a standard waterfall-trend unlock cycle into an agile methodology, backed through Jenkins; and growing a new HTML5-based mostly UI to exchange 5250 displays (developed in a “like for like” manner in order now not to disrupt the clients).
The degree of technical complexity turned into excessive. Kleyman and his colleagues at EPAM – a 28,000-person IT consulting enterprise based mostly in Pennsylvania – needed to create custom code-evaluation tools just to doc the historical code before running it through a code-generation gadget to produce the new Java.
“There’s no boilerplate to make this ensue,” he says. “You’re going for a swim right here, man. It’s now not a simple assignment — not through any sense. It’s complicated. It’s surgical. It involves numerous group individuals, from records scientists to agile team participants to people who are RPG developers.”
The IBM i platform hasn’t been fully eradicated from the enterprise, and there are on-going efforts to proceed refactoring other items, Kleyman says. however efficaciously moving the company’s core enterprise utility to the cloud has been a real video game-changer for the enterprise and spread out new online company alternatives that in any other case don't have been opened, he says.
“This turned into no longer a straightforward challenge,” Kleyman says. “but when it took place, you saw the unification of the total enterprise. impulsively, this company that had this legacy IBM AS/four hundred ecosystem just created their own digital foundation, a foundation that may also be built-in with the ecommerce methods and cloud. Their DevOps crew is not any longer scared of unlock cycles. they have so plenty greater manage over records and records analytics, and the ability to combine with other types of statistics intelligence methods.”
The business runs the brand new Java-primarily based application on the Google Cloud Platform (GCP), and experienced up to 50 p.c enhanced efficiency and greater uptime, Kleyman says.
“in case you get rid of legacy IBM methods, that are very static and aid commanding, and put some of those micros-features within the cloud, where all of a sudden you have got consumption-based mostly architecture where you simplest devour what you need – it’s an entire paradigm shift,” he says.business assessment
whereas the technical bits will also be challenging, Kleyman pointed out the greatest hurdle to successfully complementing migrations involves individuals.
“here is going to sound silly,” he says. “the hardest half isn’t always the refactoring. the toughest part is convincing americans to do that. because, let’s be honest the upfront charge can be very scary, man. It will also be frightening. The company goes to say, ‘We simply put in X quantity of dollars final 12 months to assist these types of environments.’ You form of should ask the question, what’s going to take place five years from now?”
while the legacy utility may also no longer be “broken,” forward-looking companies will believe the lost chance expenses which are inherent when an latest equipment is not agile sufficient to aid new alternatives and initiatives.
“You’re going to should have the conversation where that you can’t integrate with cloud in any respect, or you can’t combine with records analytics, otherwise you’ve failed to do cognitive equipment and your rivals are as a result of RPG can’t help these items?” Kleyman says. “however just since it’s working doesn’t imply necessarily it’s bringing value lower back to the company.”
It’s easy for an government to determine issues when servers are down, the utility is throwing error, and the every day enterprise is being impacted. It’s much more durable for the government to be in a position to determine the approaches in which a legacy device may put abate increase sooner or later.
“actually that’s some of the highest quality processes, when things aren’t on fireplace, to birth asking some of these intricate questions,” Kleyman says. “It’s form of like in a relationships. When every little thing’s going tremendous, you don’t want to convey up any sore points. but realistically talking, you don’t need to birth arguing when every little thing’s incorrect and also you beginning convey up the pain features.”Platform Vs. utility
Doing a technological assessment to check the lengthy-term feasibility of critical IT accessories is vital for any business, even if its system runs on an IBM i servers or lives in the Amazon cloud. however, for stronger or for worse, the technological dialogue is slightly cloudier for the IBM i consumer, because the legacy utility so often receives tied up with the platform that it runs on.
separating the IBM i server from utility functions is a difficult assignment. whereas we comprehend that they're different things – one is a computer platform whereas the different is a application that runs on the platform – they frequently get tangled up into a single ball in our minds. The attributes of a particular software will get superimposed onto the platform itself, to the factor the place determination-makers view them as one and the identical element.
When organizations say they’ve turn into upset with the AS/four hundred – in reality the IBM i platform — they frequently have a specific utility or a group of purposes in intellect. in lots of situations, the applications are rather historic, haven't been updated for years, and do in fact pose a liability for the lengthy-term viability of the business and its latest approach.
These businesses often identify the IBM i server because the issue and migration from the platform because the answer, when truly the precise wrongdoer is the legacy RPG or COBOL software that’s running on the platform. here is unfortunate, but it’s rather ordinary. (The proven fact that they name it “the AS/400” is a big clue that they aren't conscious how contemporary nowadays’s IBM i platform in reality is.)
There are cases where the platform itself is the roadblock. No different platform makes use of RPG, which interprets into a limited pool of developer talent available on the open market (most IBM i applications are written in RPG). IBM i functions additionally don't run on public cloud environments, equivalent to GCP and AWS. if your business method demands that you run in the cloud – which brings very real company advantages in the kind of easier data and software integration – then the IBM i server certainly isn’t for you.
however for these companies that have invested hundreds of thousands of bucks into their AS/four hundred-iSeries-system i-IBM i purposes but are dealing with misplaced opportunity prices in the future and/or mounting technical debt, it’s price since the entire latitude of opportunities that are available. many of the advantages that Kleyman helped his Canadian customer achieve – a cleaner, greater manageable code base and a more agile DevOps deployment methodology – definitely may also be carried out on the IBM i platform.
You don’t need to ditch the IBM i platform for the cloud to engage in digital transformation. There are amazing partners, application carriers, and answer providers within the IBM i ecosystem that may help you check the state of your current code base and script a modernization roadmap that may (hopefully) get you the place you should be.
All that’s required is the braveness to attain out for a bit assist from your pals.linked stories
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See the full list of top rack server vendorsBottom line:
The IBM Power Systems S922 server is designed from the ground up for data intensive workloads like databases or analytics. It can support several key enterprise data-intensive scenarios, including mainstream applications, leading-edge HPC workloads and evolving artificial intelligence (AI) projects.
Customers seeking major compute power should know this key fact: POWER9 solutions are the basis of the world’s first and third fastest supercomputers, the U.S. Department of Energy’s Summit and Sierra installations.
IBM Power servers tend to have a higher cost of entry than x86 machines. However, according to a study by Quark + Lepton, IBM Power systems running IBM I software have 60% Lower Total Cost of Ownership than Windows/SQL Server or X86 based Oracle systems. IBM’s pitch is that there are limits to what commodity architectures can do.
However, if you expect surges in demand and don’t have room for downtime, licensing fees, or occasional crashes a more robust enterprise architecture may be required.Product description:
The S922 is a 1 or 2 socket server that offers a wide variety of core configurations and up to 4 TB of memory. Chip core speeds on the 4-core are 2.8 to 3.8GHz, on the 8 core are 3.4 to 3.9 GHz and on the 10 core are 2.9 to 3.8 GHz. The single socket version provides up to 6 PCIe ( 2 x Gen4 and 4 x Gen3) slots and the two socket version provides up to 9 slots (3 more Gen4 slots). One slot is used by a mandatory Ethernet adapter. Depending on what is attached, up to three of those slots may be reserved for other purposes. IBM i is only supported on the 6 cores and 8 core processors and is limited to 4 cores of IBM i with a software tier of P10.
Power Systems are known for their RAS (resiliency, availability, serviceability) features. IBM POWER9-based systems are said to deliver up to 10X faster bandwidth acceleration and 50% greater memory bandwidth than comparable x86 solutions. They also support the latest in data transfer technologies, including PCIe 4.0 and novel NVLink and OpenCAPI interfaces. This new server generation comes along with twice the memory footprint than POWER8. Changes in the memory subsystem and the use of the latest DIMMs enhance price/performance.Features:
Number of processors:
Up to 2
IBM POWER9 Scale-Out SMT8 processor (12-core, 10-core, 8-core, 4-core offerings)
Cores per processor:
4, 8,10 cores per socket
Maximum processor frequency/cache:
3.9 GHz/512k L2 and 10 MB L3
I/O expansion slots:
The single socket version provides up to 6 PCIe ( 2 x Gen4 and 4 x Gen3) slots and the two socket version provides up to 9 slots (3 more Gen4 slots). One slot is used by a mandatory Ethernet adapter. Depending on what is attached, up to three of those slots may be reserved for other purposes.
One front USB 3.0 ports – Two rear USB 3.0 ports – Two HMC 1 GbE RJ45 ports – One system port with RJ45 connector – 1x USB 3.0 front, 2x USB 3.0 rear, 2x HMC 1 GB Eth RJ45 ports, one system port with RJ45 connector, 2x High Speed 25 Gb/s ports
Maximum memory/# slots/speed:
up to 4 TB/32 IS RDIMM slots/up to 2666 Mhz
Maximum Persistent Memory:
S922/S924 has two internal direct attached storage connectors, an NVMe card and a SAS cardSupport:
The Electronic Services web portal is a single internet entry point that replaces the multiple entry points traditionally used to access IBM internet services and support. This web portal enables you to gain easier access to IBM resources for assistance in resolving technical problems. The newly improved My Systems and Premium Search functions make it even easier for Electronic Service Agent-enabled clients to track system inventory and find pertinent fixes.
My Systems provides valuable reports of installed hardware and software using information collected from the systems by IBM Electronic Service Agent. Reports are available for any system associated with the client's IBMid. Premium Search combines the function of search and the value of Electronic Service Agent information, providing advanced search of the technical support knowledgebase.
“It is a clear choice if you already have an established IBM AIX environment and need to sustain compatibility and maintain performance. There are comparable options now which may be able to get you to 3 nines for 1/2 the costs,” said a Senior Manager of IT in the manufacturing industry.Key markets and use cases:
IBM Power Systems S922 server easily integrates into an organization’s cloud & cognitive strategy and delivers superior price performance for mission critical workloads.
POWER9 is designed from the ground up for data intensive workloads like databases or analyticsPrice:
20 core, 512 GB, $37,222. The software is expensive.
“It is a product with high performance, efficiency and economic indices in the IT market,” said an Applications Engineering in the Education Industry. "Deployment is very easy, but took more than three months. It proved inexpensive in the long run.”
IBM Power S922
Max Processor Frequency
3.9 GHz/512k L2 and 10 MB L3
Max Persistent Memory
2 POWER9 Scale-Out SMT8
Top processing power
Several halls at London’s Excel were crammed this week for Cloud Expo Europe 2019, which ran alongside Data Centre World, Blockchain Tech World, Smart IoT and DevOps Live. KitGuru hustled and bustled with the huge crowd to get a better look at the hardware that’s underpinning the move back from desktop to remote computing. From a hardware lover’s perspective, there was some impressive kit – alongside a lot of security, power and cooling systems.
As the headline would suggest, it was the ultra-high-density storage systems that had, arguably, the most impressive specs. Data centres measure products using the letter U to indicate a rack-mounted module that’s 44.45mm high (1.75 inches in old money).
The AIC FB127-LX Storage Server offers 36 NF1 SSD bays – each of which could be populated with a 16TB NVMe Solid State Drive – for a total of 576 TB of storage. Just picturing 576x 1TB mechanical drives – and imaging that capacity in a space that’s less than 45mm high, gives you pause for thought. And a desire to own. David Huang, VP of Sales for Taiwanese OEM manufacturer AIC, explained the amazing storage densities that these new platforms can offer. The NF1 SSDs are roughly the same size as an M.2 but capacities range up to 16TB per drive.
There was much talk about the expected sales ramp up in the corporate/enterprise space for Intel’s Cascade Lake – as well as the soon to be released Cascade Lake-X. That processor first appeared on Intel roadmaps as a Q4 2018, but is now likely to surface in/around Computex – targeting AMD’s HEDT offerings. Plenty of products we saw at the show claimed to be ready to support Cascade Lake, with launch programmes geared up for next month.
Supermicro were present, with products aimed at providing a high performance platform for cloud/hybrid solutions. Twin architecture products (with up to 24 DIMM sockets per node) mean you can park 3TB of 2666MHz memory next to your Dual Xeon processors.
One other thing we photographed in case it made you smile: Liquid cooling pipes, for systems on an industrial scale. The expert on hand said that this range of (near) 30cm wide pipes were considered ‘mid-range’ and that larger cooling solutions were available.
KitGuru says: While the hardcore among us will probably always opt for processing on the desktop, there’s no doubt that there will be a huge investment in centralised systems over the next decade. With that in mind, not surprising that there were dozens of security companies on hand to explain how they can keep this metal safe. For a price.
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SAN JOSE, Calif., March 18, 2019 (GLOBE NEWSWIRE) -- GPU Technology Conference — NVIDIA today announced that mainstream servers optimized to run NVIDIA’s data science acceleration software are now available from seven of the world’s largest systems manufacturers, including Cisco, Dell EMC, Fujitsu, Hewlett Packard Enterprise (HPE), Inspur, Lenovo and Sugon.
Featuring NVIDIA® T4 GPUs and fine-tuned to run NVIDIA CUDA-X AI™ acceleration libraries, the servers provide businesses a standard, highly efficient platform for data analytics and a wide range of other enterprise workloads.
Drawing only 70 watts of power and designed to fit into existing data center infrastructures, the T4 GPU can accelerate AI training and inference, machine learning, data analytics and virtual desktops. This unique combination of capabilities has helped create a new class of enterprise servers that, through GPU acceleration, can provide businesses with greater utility and versatility.
“The rapid adoption of T4 on the world’s most popular business servers signals the start of a new modern era in enterprise computing — one in which GPU acceleration has become standard,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “Now, with a wave of mainstream NVIDIA-powered servers optimized for data science, companies worldwide can deploy accelerated AI at a faster pace across their entire business.”
New T4 Servers Validated as NGC-ReadySystems announced today by Cisco, Dell EMC, Fujitsu, HPE, Inspur, Lenovo and Sugon are NVIDIA NGC-Ready validated, a designation reserved for servers with demonstrated ability to excel in a full range of accelerated workloads.
All software tested as part of the NGC-Ready validation process is available from NVIDIA NGC™, a comprehensive repository of GPU-accelerated software, pre-trained AI models, model training for data analytics, machine learning, deep learning and high performance computing accelerated by CUDA-X AI.
Launched in November, the NGC-Ready program features a select set of systems powered by NVIDIA GPUs with Tensor Cores that are ideal for a wide range of AI workloads.
Key NGC-Ready validated T4 servers announced today are:
Additionally, several other partners have started the validation process for their T4 servers.
New Enterprise Support Program for NGC-Ready SystemsFurthering the value of this program, NVIDIA today launched an enterprise support service exclusively for customers with NGC-Ready systems, including all NGC-Ready T4 systems as well as previously validated NVLink® and Tesla® V100-based servers and NVIDIA-powered workstations.
NVIDIA NGC Support Services give customers direct access to NVIDIA technical experts to help ensure their NGC-Ready systems run optimally and maximize system utilization and user productivity.
NVIDIA’s support service is available through sellers of NGC-Ready systems, with immediate availability from Cisco for its NGC-Ready validated NVIDIA V100 system, Cisco UCS C480 ML. HPE will offer the service for the HPE ProLiant DL380 Gen10 server as a validated NGC-Ready NVIDIA T4 server in June. Several other original equipment manufacturers are expected to begin selling the service on their NVIDIA T4 and V100 systems in the second quarter.
New T4 Servers Certified with Leading Virtual Desktop and Application Virtualization SolutionsNVIDIA T4-equipped servers have been certified by leading OEMs for NVIDIA virtual GPU software — NVIDIA GRID® Virtual PC (vPC) for knowledge workers and NVIDIA Quadro Virtual Data Center Workstation (vDWS) for creative and technical professionals.
With the T4, users will enjoy high-quality virtual desktop experiences on the latest generation of servers, including up to 33 percent more VDI performance than CPU-only with GRID vPC. NVIDIA also announced it has collaborated with leading OEMs to make VDI easier and more affordable with multi-year discounts available for a limited time only.
Broad Industry SupportNGC-Ready systems partners“Cisco is the first OEM to resell NVIDIA NGC support to its customers so they can accelerate their deep learning projects on Cisco’s NGC-ready UCS C480 ML M5 server, with eight NVIDIA Tesla V100 Tensor Core GPUs interconnected with NVLink. We are also excited to announce support for the new NVIDIA T4 universal GPU on our UCS C240 M5 and C220 M5 servers, providing our users the flexibility to maximize their infrastructure use for AI/ML and virtualization projects on the same hardware.”— Siva Sivakumar, senior director of Data Center Solutions, Cisco
“Dell Technologies is focused on helping customers transform their IT while benefiting from advancements such as artificial intelligence. As the world’s leading provider of server systems, Dell EMC continues to enhance the PowerEdge server portfolio to help our customers ultimately achieve their goals. Our close collaboration with NVIDIA and historical adoption of the latest GPU accelerators, including the new NVIDIA T4, play a vital role in helping our customers stay ahead of the curve in AI training and inference.”— Ravi Pendekanti, senior vice president of product management and marketing, Servers & Infrastructure Systems, Dell EMC
“Powered by NVIDIA T4 GPUs and officially validated NGC-Ready, Fujitsu Server PRIMERGY is a cutting-edge server with practicability and versatility. We believe it can satisfy various kinds of workloads desired by our customers today, such as efficient operation of virtual desktop systems, high-speed analysis of big data and deployment of AI.”— Kenichi Sakai, corporate executive officer, senior vice president, head of Data Center Platform business unit, Fujitsu Ltd
“We continue to deliver advanced performance, resiliency and security across our server portfolio, enabling new experiences and increased business outcomes. By combining HPE ProLiant Gen10 servers with the new NVIDIA T4 GPUs, we are broadening accelerated computing capabilities to the mainstream. We are empowering customers to run a wide range of workloads like machine and deep learning, inferencing, high performance computing and VDI environments, from the edge to cloud.”— Bill Mannel, vice president and general manager of HPC and AI, Hewlett Packard Enterprise
“Inspur works closely with NVIDIA to keep bringing the most powerful AI computing products to our clients in order to enable the continuous breakthroughs in their business. The new NVIDIA T4 NGC-ready GPU feature server is fine-tuned to run the NVIDIA CUDA-X AI acceleration libraries, providing a comprehensive solution and service support for data scientists, supporting multiple AI workloads while enjoying a high-quality virtual desktop experience.”— Jun Liu, general manager of AI & HPC, Inspur
“As more enterprises begin to institute artificial intelligence into their business operations, the need for dense servers equipped with versatile GPU accelerators continues to grow. Together with NVIDIA, Lenovo is providing the infrastructure necessary for customers to successfully implement AI initiatives that lead to data-driven insights and competitive advantage. The Lenovo ThinkSystem SR670 supports up to eight NVIDIA T4 GPUs in 2U, and jointly with Lenovo Intelligent Computing Orchestration (LiCO), provides leading economies of scale for customers on their AI journey.”— Madhu Matta, vice president and general manager of HPC/AI, Lenovo Data Center Group
“Thanks to the excellent performance and universal capabilities of NVIDIA T4, Sugon’s latest HPC data center solutions are able to provide AI training/Inference, rendering and 3D design services simply through large-scale deployment of one single kind of GPU servers. One single kind of GPU server, which greatly reduces our deployment and maintenance costs. For this reason, we specifically adjusted our W760 server to give NVIDIA T4 the best performance platforms.”— Chaoqun Sha, senior vice president, Sugon
Ecosystem partners“NVIDIA and Kinetica have enabled us to do the impossible — render a high-fidelity 3D view of an oil basin using 100 billion data points at scale. The Kinetica Active Analytics Platform and NVIDIA T4-powered servers bring together active analytics and artificial intelligence to deliver a radically more efficient way to develop oil fields by utilizing subsurface models generated and rendered at high resolution. The combined solution provides revolutionary performance at scale, accelerating the output of our data scientists and geo scientists to run GPU-accelerated models that make spatial and economic predictions faster for the most capital-efficient recovery of resources out of the basin.”— Sanjay Paranji, CTO at Anadarko Petroleum Corporation
“Active analytics is the backbone of the data-driven Fourth Industrial Revolution. With new NVIDIA T4-powered servers, our customers have a radically more efficient way to GPU-accelerate data workloads to keep pace with extreme velocity from an infinite set of streaming data sources, from wearables to cars, smart devices to connected infrastructure. In short, NVIDIA and Kinetica help companies, cities and societies manage the make-or-break shift from using data as a passive asset to glean insights into using data as an active asset that can help them react immediately.”— Paul Appleby, CEO at Kinetica
“With the age of AI upon us, mainstream data centers are looking to adopt accelerators such as NVIDIA T4 GPUs to maximize the impact. Having a stable control plane for these new technologies is crucial, a need that Red Hat is helping to address by certifying server configurations that include NVIDIA T4 GPUs on Red Hat Enterprise Linux and Red Hat OpenShift Container Platform. This brings the scale of our OEM partner ecosystem and certification process to artificial intelligence use cases across the globe.”— Stefanie Chiras, vice president and general manager of Red Hat Enterprise Linux, Red Hat
“NVIDIA and VMware have a long history of working together to empower organizations to maximize their data center resources. Businesses are looking to accelerate both VDI and machine and deep learning workloads, while maximizing their return on investment in GPU-accelerated data center infrastructure. NVIDIA T4-powered servers offer a solution for these organizations, along with increased flexibility, better utilization and protection of their VMware infrastructure investments.”— Susan Nash, senior vice president of Strategic Corporate Alliances, VMware
About NVIDIANVIDIA‘s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at https://nvidianews.nvidia.com/.
For further information, contact:Kristin BrysonPR Director of Artificial Intelligence, Deep Learning & Accelerated ComputingNVIDIA Corporationemail@example.com
Certain statements in this press release including, but not limited to, statements as to: global computer companies using NVIDIA powered servers and the availability of these servers from the world’s largest systems manufacturers; the benefits, performance, impact and abilities of NVIDIA-powered enterprise servers, T4 GPUs, the NGC-Ready program and NVIDIA NGC Support Services; T4 GPU servers being in a new class and providing greater utility and versatility; the rapid adoption of T4 in servers signaling the start of a new era in enterprise computing; access to data center platforms enabling businesses to solve their most pressing challenges and to create opportunities for customers; the companies using NVIDIA-powered servers and those that have completed and are starting the NGC-Ready validation process; NVIDIA NGC Support Services giving customers access to experts and support to run their systems; the timing and expected NCG-Ready systems with support this year; T4 providing users with enjoyable experiences and performance; NVIDIA making VDI easier and more affordable; Cisco servers with NVIDIA GPUs providing users with flexibility to maximize their infrastructure for AI/ML and virtualization projects; Dell EMC enhancing its server portfolio to help customers; NVIDIA customers helping to play a vital role in helping customers stay ahead of the curve; PRIMERGY satisfying various kinds of workloads desired by customers; HPE broadening accelerated computing capabilities to the mainstream and empowering customers to run a wide range of workloads; NVIDIA and Inspur bringing the most powerful AI computing products to clients and enabling the continuous breakthroughs in their business; the need for dense servers equipped with versatile GPU accelerators continuing to grow; NVIDIA and Lenovo providing the infrastructure for customers to implement AI initiatives and economies of scale; mainstream data centers are looking to adopt accelerators and its impact; and addressing the need for a stable control plans and its impact are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.
© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA-X, NVIDIA GRID, NVIDIA NGC, NVLink, Quadro, and Tesla are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.
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Veeam [2 Certification Exam(s) ]
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Worldatwork [2 Certification Exam(s) ]
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