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C9010-260 - IBM Power Systems with POWER8 Sales Skills V2 - Dump Information

Vendor : IBM
Exam Code : C9010-260
Exam Name : IBM Power Systems with POWER8 Sales Skills V2
Questions and Answers : 62 Q & A
Updated On : October 22, 2018
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C9010-260 Questions and Answers

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C9010-260 IBM Power Systems with POWER8 Sales Skills V2

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C9010-260 exam Dumps Source : IBM Power Systems with POWER8 Sales Skills V2

Test Code : C9010-260
Test Name : IBM Power Systems with POWER8 Sales Skills V2
Vendor Name : IBM
Q&A : 62 Real Questions

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IBM IBM Power Systems with

H2O.ai partners with IBM to convey enterprise AI to IBM power techniques | killexams.com Real Questions and Pass4sure dumps

MOUNTAIN VIEW, Calif.--(company WIRE)--H2O.ai, the enterprise bringing AI to companies, nowadays introduced that it has partnered with IBM to present its subsequent-era AI platform, GPU-powered desktop gaining knowledge of, and surest-of-breed Deep gaining knowledge of on IBM’s vigor® methods platform.

IBM has collaborated with fellow know-how industry leaders in the course of the OpenPOWER groundwork to radically remodel the platform at the chip and gadget degrees by using incorporating using a wide range of accelerators to achieve more suitable degrees of performance than available on average commodity servers. IBM’s power structure with the brand new NVLink™ interface gives an superior and reasonably-priced platform for high efficiency analytics. the new NVLink™ interconnects considered in IBM energy methods S822LC (codename: ‘Minsky’) machines open a a good deal wider route between the CPU and GPU, enabling H2O’s next era AI platform to get optimum performance positive factors viable.

H2O.ai next era AI software – surest-of-breed computing device discovering and Deep studying this is optimized for GPUs – can now take abilities of IBM’s vigor architecture to provide organisations with quickest performance viable and the most effective cost-performance talents for AI computing. IBM purchasers can additionally run H2O algorithms during the IBM facts Science experience platform to control and collaborate on records science initiatives. in addition, H2O is additionally available on the IBM’s Biginsights and IOP platform for businesses.

“H2O’s interpretable, correct and fast algorithms democratize the monetization of data with AI. IBM vigour methods provides a resilient and extremely attainable computing platform for H2O.AI valued clientele,” said Sri Ambati, CEO and co-founder of H2O.ai. “we are excited to associate with the IBM crew to extend the transformation of the commercial enterprise with AI.”

H2O is the usual open-source AI platform of alternative for enterprise corporations. more than 9,000 corporations and a 3rd of the Fortune 500 companies are using H2O.ai’s open supply platform to derive price from information with laptop discovering and deep getting to know and acquire precise-time insights and make actionable decisions.

“In 5 years, A.I. might be in the back of your every determination. We need to put the most powerful AI application in the fingers of our valued clientele and H2O is a complementary addition to the IBM PowerAI deep researching utility distribution,” mentioned Sumit Gupta, VP, HPC, AI and Analytic at IBM. “H2O running on IBM vigour techniques makes it possible for organizations to leverage the best of breed software on IBM’s potent hardware to get extra price of their facts.”

H2O.ai has enjoyed a banner 12 months up to now. some of H2O’s mission vital functions encompass predictive renovation, operational intelligence, security, fraud, auditing, churn, credit scoring, person primarily based insurance, predicting sepsis, ICU monitoring and extra. The enterprise turned into named a strong Performer within the Forrester Wave™: Predictive Analytics & machine studying (PAML) solutions, Q1 2017 file via Forrester analysis in March, a Visionary in Gartner’s February Magic Quadrant and considered one of CB Insights’ AI one hundred in January.

For extra assistance about H2O.ai, please visit www.h2o.ai.

About H2O.ai

H2O.ai is concentrated on bringing AI to organizations via application. Its flagship product is H2O, the leading open supply platform that makes it effortless for fiscal features, assurance and healthcare organizations to deploy AI and deep studying to resolve complicated complications. greater than 9,000 corporations and eighty,000+ information scientists depend on H2O for crucial purposes like predictive preservation and operational intelligence. The business -- which turned into lately named to the CB Insights AI a hundred -- is used by 169 Fortune 500 corporations, together with eight of the realm’s 10 biggest banks, 7 of the 10 biggest coverage organizations and four of the desirable 10 healthcare organizations. notable consumers encompass Capital One, progressive coverage, Transamerica, Comcast, Nielsen Catalina solutions, Macy's, Walgreens and Kaiser Permanente.

comply with us on Twitter @h2oai. To study greater about H2O consumer use instances, please talk over with http://www.h2o.ai/customers/ be a part of the circulate.


IBM and NVIDIA Collaborate to expand Open source desktop gaining knowledge of equipment for information Scientists | killexams.com Real Questions and Pass4sure dumps

Oct. 10, 2018 — IBM today announced that it plans to incorporate the new RAPIDS open supply software into its enterprise-grade data science platform for on-premises, hybrid, and multicloud environments. With IBM’s tremendous portfolio of deep gaining knowledge of and computing device learning solutions, it is highest quality placed to deliver this open-supply know-how to facts scientists despite their favored deployment mannequin.

“IBM has an extended collaboration with NVIDIA that has shown demonstrable efficiency raises leveraging IBM technology, just like the IBM POWER9 processor, in combination with NVIDIA GPUs,” pointed out Bob Picciano, Senior vice chairman of IBM Cognitive programs. “We seem to be to continue to aggressively push the performance boundaries of AI for our customers as we bring RAPIDS into the IBM portfolio.”

RAPIDS will assist carry GPU acceleration capabilities to IBM choices that take talents of open source desktop researching utility together with Apache Arrow, Pandas and scikit-be taught. instant, wide ecosystem guide for RAPIDS comes from key open-source contributors including Anaconda, BlazingDB, Graphistry, NERSC, PyData, INRIA, and united states Labs.

IBM is planning to bring RAPIDS to key areas throughout on-premises, public, hybrid, and multicloud environments, together with:

  • PowerAI on IBM POWER9, to leverage RAPIDS to extend the alternate options accessible to data scientists with new open source machine discovering and analytics libraries. Accelerated workloads were proven to get an instantaneous benefit from the special engineering that NVIDIA and IBM have carried out round POWER9, including integration of NVIDIA NVLink® and NVIDIA Tesla Tensor Core GPUs. PowerAI is IBM’s software layer that optimizes how nowadays’s statistics science and AI workloads run on heterogeneous computing methods, and our purpose is for this more advantageous efficiency trajectory for GPU accelerated workloads on POWER9 to proceed with RAPIDS.
  • IBM Watson Studio and Watson computer researching, to take advantage of the power of NVIDIA GPUs in order that statistics scientists and AI builders can construct, installation, and run faster models than CPU-simplest deployments for their AI purposes in a multicloud ambiance with IBM Cloud deepest for information and IBM Cloud.
  • IBM Cloud, to users who opt for machines outfitted with GPUs should be in a position to apply the accelerated machine learning and analytics libraries in RAPIDS for their cloud applications and faucet the merits of computing device learning.
  • “IBM and NVIDIA’s shut collaboration over the years has helped leading businesses and groups all over the world address some of the world’s biggest problems,” pointed out Ian Buck, vice chairman and commonplace manager of Accelerated Computing at NVIDIA. “Now, with IBM taking potential of RAPIDS open-supply libraries introduced today through NVIDIA, GPU accelerated machine gaining knowledge of is coming to information scientists, helping them analyze large statistics for insights faster than ever feasible earlier than.”

    laptop researching is a kind of AI that allows for a system to be taught from facts in place of through explicit programming. corporations throughout diverse industries like retail, finance, and telecommunications, are either actively using machine getting to know or exploring machine researching for the skills cost it offers to corporations attempting to leverage big information to help them enhanced take into account the refined adjustments in conduct, preferences, or client delight.

    prior this 12 months, IBM set a list in a tera-scale desktop getting to know benchmark, beating the previous checklist holder through 46x. the use of an IBM analysis-developed laptop discovering algorithm known as IBM Snap desktop learning (Snap ML) working on IBM power systems AC922 servers with NVIDIA Tesla V100 Tensor Core GPUs, IBM researchers educated a logistic regression classifier in ninety one.5 seconds using an internet promoting dataset launched via Criteo Labs with over four billion practicing examples.

    source: NVIDIA


    The Winds Are altering In Servers -- AI leads to possibility for IBM & power | killexams.com Real Questions and Pass4sure dumps

    IBM and the vigour architecture excel at AIIBM

    There has by no means been a single processor structure for server purposes as a result of no two workloads are the equal. however, for the past decade, Intel has all however dominated the server market, shutting out AMD, the handiest different x86 server supplier, and leaving best HPC, mainframe, database and different specialized functions for other processor architectures. With the business facing challenges because of a becoming checklist of protection vulnerabilities from defective speculative execution implementations, altering workload necessities, slowing of Moore’s law, and imaginative new processor architectures, server OEMs and clients are all taking a look at making alterations. most of the new processor vendors are specializing in particular segments to goal. IBM looks the foremost positioned to improvement from the gigantic activity in AI.

    besides the changing technical and market dynamics, Intel has additionally stumbled in both manufacturing procedure and architecture. they have struggled to transition to the 14nm and 10nm method nodes and now appear neatly in the back of Samsung and TSMC, the major leading foundry carrier providers, in transitioning to the 7nm method node. additionally, Intel has purposely restrained reminiscence bandwidth in its Xeon processors to advertise two-socket servers over single-socket configurations. This has created a renewed possibility for the IBM with its vigour structure.

    by way of leveraging these leading foundries, IBM has the pliability to leverage the optimum density and most economical process know-how. in addition, IBM has concentrated the design of the energy architecture on standard equipment efficiency and leveraging application, similar to PowerAI, for more advantageous statistics flows. The enviornment this is critical in both AI practicing and inference is bandwidth to reminiscence, to accelerators and to the network. IBM’s power architecture no longer handiest supports extra reminiscence than aggressive Xeon platforms, however also provides approximately 10x the bandwidth to accelerators with NVLink. NVIDIA is the chief in AI accelerators with its Tesla line of GPU accelerators and vigor is the handiest processor structure the use of NVIDIA’s NVLink interface directly in the processor itself which vastly improves efficiency. moreover, the NVLink is coherent, which allows the GPUs to have direct entry to the device reminiscence enabling colossal AI fashions as much as 2TB in dimension as opposed to being confined to just the GPU reminiscence.

    while Intel Xeon’s are used as the host processor in lots of the put in statistics center neural networks, consumers will see a improvement to leveraging accelerated structures with bigger efficiency and bandwidth.

    The IBM AC922 vigor-primarily based platform that leverages Nvidia GPUs and NVLink for larger gadget bandwidthIBM

    youngsters, the hardware is barely half the story. besides the hardware improvements, IBM also developed tools increasing the capacity of open supply frameworks like TensorFlow and Caffe, as well as providing a computer-learning library called Snap ML that further reduces the training of latest neural networks by using leveraging generalized linear models as opposed to ranging from scratch. lots of the libraries are being developed specially for emerging applications like picture and video recognition. In the use of the ImageNet dataset, IBM claims that can train neural networks as much as 4 times sooner than a Xeon-primarily based equipment. With Caffe, IBM turned into capable of take the working towards of a neural community from hours down to minutes whereas making it easier for data scientists to use greater intuitive tools as opposed to getting to know to code.

    The IBM hardware and software vigour platform for AIIBM

    IBM's allotted Deep studying (DDL) software for improved scaling efficiencyIBM

    IBM additionally developed disbursed Deep studying (DDL) application that, along side the vigour architecture, allows for superior scaling of efficiency for giant equipment configurations the use of diverse servers each and every with distinctive GPUs, almost enhancing the parallelization that will also be performed with tremendous workloads.  With DDL, IBM architected 95% effectivity with 256 NVIDIA GPUs in sixty four IBM vigour methods.

    one more interesting aspect of IBM is that it presents a number of systems for on-premises records centers to the significant cloud statistics centers, and even offers AI as a provider with access to its own statistics middle materials leveraging vigour.

    As workloads alternate, server shoppers are seeking extra alternate options to meet an expanding array of performance requirements through the starting to be number of different workloads. within the case of AI, IBM has developed a gap in combination with its companion NVIDIA that offers a platform that presents the highest performance in AI. additionally, IBM presents a full latitude of complete structures and services that take lots of the technical challenges out of data science. TIRIAS research is evaluating each of the server processor architectures to look how and where they slot in the changing server environment. With different analysis in AI, akin to Watson, IBM seems to have found a strong position for the power platform.

    The author and contributors of the TIRIAS analysis staff do not dangle equity positions in any of the corporations outlined. TIRIAS analysis tracks and consults for organizations all through the electronics ecosystem from semiconductors to methods and sensors to the cloud. members of the TIRIAS analysis crew have consulted for IBM, Intel, and NVIDIA.


    C9010-260 IBM Power Systems with POWER8 Sales Skills V2

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    C9010-260 exam Dumps Source : IBM Power Systems with POWER8 Sales Skills V2

    Test Code : C9010-260
    Test Name : IBM Power Systems with POWER8 Sales Skills V2
    Vendor Name : IBM
    Q&A : 62 Real Questions

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    IBM Power Systems with POWER8 Sales Skills V2

    Pass 4 sure C9010-260 dumps | Killexams.com C9010-260 real questions | [HOSTED-SITE]

    Intel launches high-end Xeon server CPUs, eyes further share gains | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!Whereas Grantley is aimed at smaller servers (1-4 CPUs) going into distributed HPC systems ... SPARC and IBM's Power. IBM is trying to drive a rebound in Power sales by licensing the platform to 3rd-p...

    IBM, Nvidia to Partner on GPU-Accelerated Power Servers | killexams.com real questions and Pass4sure dumps

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    IBM Bets on Artificial Intelligence With Its POWER9 Chip | killexams.com real questions and Pass4sure dumps

    After years of being overwhelmingly dominated by Intel (NASDAQ: INTC), the market for server processors is becoming a lot more competitive. Advanced Micro Devices unveiled its EPYC server chips earlier this year, and Qualcomm commercially launched its ARM-based Centriq 2400 server processor last month.

    International Business Machines (NYSE: IBM) is also a player in the server chip market. IBM announced on Tuesday the first systems built around its brand-new POWER9 processor, which is designed to provide Intel-beating performance for artificial intelligence (AI) workloads. IBM's base of Power Systems customers will provide a market for these systems, but the real opportunity may be selling POWER9 chips to third parties. Alphabet's (NASDAQ: GOOG) Google is already on board, and two supercomputers being built for the U.S. Department of Energy are powered by IBM's new chips, along with GPUs from NVIDIA.

    A woman holding an IBM POWER9 chip.

    More

    The POWER9 processor. Image source: IBM.

    A shift in strategy

    IBM began designing the POWER9 processor four years ago, with the aim of building a new architecture able to handle the massive amounts of data involved in AI and deep learning workloads. POWER8, the previous iteration, became available in mid-2014.

    POWER8 brought with it a change in IBM's strategy. IBM and partners, including Google and NVIDIA, founded the OpenPOWER foundation in 2013, with the goal of building an ecosystem around the POWER architecture. IBM began allowing third parties to build systems around its POWER8 chips, as well as to design custom versions. The foundation now has more than 300 members.

    Prior to this shift in strategy, IBM had no chance of winning any meaningful share of the hyperscale data center market. Cloud computing and internet companies like Google and Facebook design their own systems, which left them with Intel processors as the only real option. Back in 2015, an IBM executive said the goal was to win 10% to 20% of the hyperscale data center market, up from essentially zero at the time. The OpenPOWER model makes significant market share gains possible, although certainly not easy.

    One barrier is the x86 architecture. Only Intel and AMD can make x86 chips, which are the standard in the data center thanks to Intel's dominance. Supporting a separate architecture, like POWER or ARM, is not trivial. The good news for IBM is that Google is aiming to make its data centers support more than just Intel chips. The search giant announced last year that it was developing a server architecture based on the POWER9 processor, and that the POWER architecture was completely supported across its toolchain.

    "Google is excited about IBM's progress in the development of the latest POWER technology," said Bart Sano, VP of Google Platforms, in IBM's press release announcing the POWER9 systems. "The POWER9 OpenCAPI Bus and large memory capabilities allow for further opportunities for innovation in Google data centers."

    What it means for IBM

    Intel makes a lot of money selling its Xeon server processors. During the third quarter, Intel's data center group produced $4.9 billion of revenue and $2.3 billion of operating income. IBM won't have to steal away much market share for the impact to be felt on its bottom line.

    That market share will come from selling chips to companies like Google, as well as selling Power Systems to customers. The POWER9-based AC922 is designed for artificial intelligence, with a big focus on data throughput. Using OpenCAPI and NVIDIA's NVLink technology, IBM claims that the system can transfer data at as much as 9.5 times the rate of an Intel-based system.

    Story Continues

    The success of POWER9 would mean not only more hardware sales for IBM, but also more software sales. IBM's longtime strategy has been to provide integrated solutions, involving hardware, software, and services. According to IBM, it's "the only vendor that can provide enterprises with an infrastructure that incorporates cutting-edge hardware and software with the latest open-source innovations." 

    The POWER9 story will play out over the course of years, and winning meaningful market share from Intel will be a slog. But with more than 300 partners working to further the POWER ecosystem, POWER9 is IBM's best chance yet at gaining ground in the data center market.

    More From The Motley Fool

    Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Timothy Green owns shares of IBM. The Motley Fool owns shares of and recommends Alphabet (C shares) and Facebook. The Motley Fool owns shares of Qualcomm. The Motley Fool recommends Intel. The Motley Fool has a disclosure policy.



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