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ISS-003 - Intel(R) Server Specialist Certification - BrainDump Information

Vendor Name : Intel
Exam Code : ISS-003
Exam Name : Intel(R) Server Specialist Certification
Questions and Answers : 186 Q & A
Updated On : March 21, 2019
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ISS-003 exam Dumps Source : Intel(R) Server Specialist Certification

Test Code : ISS-003
Test Name : Intel(R) Server Specialist Certification
Vendor Name : Intel
Q&A : 186 Real Questions

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Intel Intel(R) Server Specialist Certification

Avaamo announces Reference structure for AI applications, Powered with the aid of Intel® Xeon® Scalable Processors | killexams.com Real Questions and Pass4sure dumps

BARCELONA, Spain, Feb. 26, 2019 /PRNewswire/ -- mobile WORLD CONGRESS -- Avaamo, an Intel Capital funded business, will launch a reference architecture for artificial intelligence (AI) applications, providing businesses comprehensive, out-of-the-field configurations to effectively scale conversational AI to hundreds of thousands of customer interactions.

emblem - https://mma.prnewswire.com/media/826485/Avaamo_Logo.jpg

Many groups accept as true with that conversational AI practising functions require large investments in really expert hardware. despite the fact, Avaamo's mannequin creation and skills graph workloads can function optimally on a typical configuration of an Intel® Xeon® Gold 6140 processor-based mostly server. This enables corporations to promptly set up business-grade virtual assistants on existing information core substances, with out significant investments or studying curve.

"Our goal from the beginning has been to design and deliver conversational AI technology that quite simply turns into a part of big agencies," talked about Avaamo CEO Ram Menon. "Working with Intel we've got been in a position to create a reference architecture that is a one-stop store for colossal organisations trying to massively scale their in-apartment conversational AI deployments. This technology will allow businesses to focal point on the merits of AI for stronger client relationships and a streamlined staff."

Avaamo's conversational AI platform has been optimized for Intel applied sciences and is constructed to address the typical bloodless-start issue in AI by using:

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  • enhancing the ML mannequin with client-specific abilities substances
  • Avaamo can scale with a 72-core configuration of a single server to address as much as a hundred concurrent classes. This provides enormous flexibility for tremendous organizations to share powerful Intel hardware across typical and AI-certain computing workloads. study greater here (hyperlink to http://avaamo.ai/wp-content material/uploads/2019/02/AI_Builders_Avaamo.pdf)

    About AvaamoAvaamo is a deep-gaining knowledge of application enterprise that specializes in conversational interfaces to resolve specific excessive impact complications within the enterprise. Avaamo is building primary AI know-how throughout a huge enviornment of neural networks, speech synthesis, and deep researching to make conversational computing for the enterprise a reality. With over 80+ commercial enterprise customers assisting main manufacturers in fiscal capabilities, healthcare, retail, and insurance. Avaamo is at present deployed in forty+ countries.

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    Intel, Qualcomm Hit CES: As mobile Chip combat Heats Up, Tech Giants Will Collide | killexams.com Real Questions and Pass4sure dumps

    Editor’s notice: Steve Patterson’s observations and writing are according to his two decades working in the primordial ooze of start-united states of americain Boston and the San Francisco Bay area. comply with him on Twitter @stevep2007.

    initially of CES 2013, Qualcomm has an enviable dominant market position, possessing half the cell processor shipments and essentially the entire LTE/4G baseband chipset shipments. but it has constrained company focus in comparison to the Android smartphones it powers. To cement its dominance within the turning out to be cellular market, Qualcomm should emerge as a consumer company from the obscurity of being a part in smartphones sold below different companies’ manufacturers. otherwise, it is going to lose its expense top class and precious lead to competing mobile processor producers.

    Intel, against this, has been rewarded with brand selection in the computer and server market after many years of investment in creative advertising that influenced consumers’ buy choices in accordance with desktop company’s alternative of Intel’s processor in preference to the company’s brand. Intel, late to the mobile processor market, now must radically change its technologies into cellular product shipments to counter stalled Wintel revenues. because the chart under from Kleiner Perkins accomplice Mary Meeker illustrates, Intel need to aggressively pursue the mobile market and compete with Qualcomm.

    intels dilemma

    Qualcomm CEO Paul Jacobs has begun 2013 with a clear intention of strengthening Qualcomm’s company. After appearing on the Charlie Rose display remaining week, Jacobs will return to keynote CES 2013. Jacob’s theme, “Born mobile,” is supposed to construct company focus for Qualcomm’s silicon chips. he is most likely hoping for the same consumer branding consequences in client smartphone buy selections that the Intel interior crusade delivered for Intel in client computing device buy choices.

    Intel, in the meantime, will use CES to start writing its mobile story. these days, after a yr of practise, Intel announced the Bay trail-T microprocessor and the Bay path-T capsules that producers are establishing for both home windows eight and Android. The Bay trail-T is a decrease to 22 nm and enhancement of the Atom Medfield chip at present in production to be able to bring as tons as twice the efficiency with prolonged battery lifestyles. The Bay trail-T is a appropriate Wintel microprocessor in order to run home windows 8 and any windows app as neatly and Android and Android apps. here's an skills over the ARM powered Microsoft surface that runs a Microsoft variant called home windows RT that simplest runs home windows applications which have been re-coded and recompiled.

    In February at the cell World Congress in Barcelona, Intel is anticipated to replace its investors and partners on its Merrifield processor due to be launched later in 2013. Merrifield, first announced in might also 2012 at Intel’s investor convention, is targeted at smartphones, a shrink to 22 nm with efficiency improvements comparable to the Bay trail-T. Intel has begun creation of its LTE/4G baseband chip, in line with Intel’s spokesman Jon Carville.

    also expected within the first quarter in preparation of Intel’s cellular rally is the announcement of a successor to retiring CEO Paul Otellini who will be chargeable for leading Intel into the cellular era.

    A Two-entrance warfare: building client manufacturer recognition and the fastest, Lowest-vigor SoCs

    Most observers define the mobile device combat in terms of the Apple, Android, and Samsung brands, however it is truly a two-front struggle – the second front being the competition to build the finest and integrated methods-on-a-Chip. SoCs are such a major factor in picking the skill of a cellular device that main the cell gadget trade is synonymous with leading SoC design. besides the fact that children there are many cell processor SoC rivals, there are only a number of, together with Intel, NVidia, Qualcomm, Samsung, and upstart MediaTek, that can have an influence on this market, as a result of they've microprocessor know-how and both personal or have licensed LTE/4G baseband know-how.

    LTE/4G is delivered as a silicon element known as a baseband modem that pushes SoC designers to the bounds of innovation to design and fabricate for low-vigor consumption purposes, comparable to mobile gadgets. it's a indispensable improve to 3G that cellular clients should turn into permanently untethered.

    Intel has moved quickly to backfill its LTE/4G highbrow property and engineering design ability. remaining yr Intel obtained Infineon wireless, a fabless semiconductor baseband modem company with LTE/4G patents and an extended background of supplying baseband modems to handset and base-station producers. With the acquisition, Intel gained a product portfolio, design capability, and patents that Hermann Eul, vice president and generic supervisor of the Intel cellular and Communications neighborhood, describes as a “profound portfolio of patent insurance policy.” via acquisition, Intel has joined Qualcomm and Samsung as the only baseband modem suppliers that have the patent portfolio and scale to coordinate LTE/4G construction via separate certifications and approvals required by using each and every mobile carrier.

    In mid-2012 Intel doubled down on LTE/4G when it opened a brand new workplace in San Diego, Qualcomm’s domestic territory, with the specific intent of recruiting from the enviornment’s deep pool of baseband talent to build a brand new modem design crew for LTE/4G technologies. There are rumors that Intel might be making as a minimum an additional LTE/4G investment in 2013. A second supply for LTE/4G baseband modems from Intel could be welcomed via smartphone manufacturers as a substitute for Qualcomm’s close monopoly of LTE/4G modems and may relieve deliver constraints.

    Intel has proven that it might construct a aggressive smartphone SoC. The Intel Atom Medfield processor powers the Motorola Droid Razr i. It became proven by means of The Verge against the Qualcomm Snapdragon S4 powered Droid Razr M it truly is developed with well-nigh a similar design apart from the mobile processor SoCs. The Intel-powered Razor i confirmed equal or more advantageous application compatibility and vigour efficiency. The Razr i’s performance and Intel’s seven design wins, together with Lenovo, are brilliant.

    but whereas Intel’s skill to bring brilliant processor SoC designs is undeniable, Qualcomm’s dominant place shows that smartphone producers want suppliers that present both processor SoCs and baseband modems. providing LTE/4G to smartphone producers within the first half of 2013 is a essential milestone for Intel.

    Qualcomm poses tremendous challenges since it has already delivered its Snapdragon processor with an LTE/4G baseband modem built-in on a single chip. in response to Qualcomm VP of advertising Tim McDonough, “Qualcomm is on its 2d release of LTE/4G and sampling its third release whereas competitors have yet to announce or deliver a first release.”

    Intel’s Response to Qualcomm’s Integrations of Processor and LTE/4G

    Intel separates its production of LTE/4G and Atom processors. Eul believes it is simply too early within the evolution of Intel’s LTE/4G to combine it on a single chip with an Atom processor since the two technologies will iterate at diverse fees precipitated by way of distinct market routine. We may see Intel’s LTE/four modems built-in with a future Atom SoC when yet another reduce to 14 nm takes location sometime after 2014.

    To close the hole, Intel will practice to smartphones and tablets the enormous techniques-stage design potential that it honed when basically monopolizing the X86 laptop and server company. Intel will convey smartphone reference designs to be able to permit producers to produce complete optimized smartphones the usage of Intel’s accessories.

    Intel additionally received provider certification and approval understanding and relationships with its acquisition of Infineon. Eul’s strategy is to take both the accessories and reference designs during the lengthy and complex cellular service certification and acceptance system and share the certifications with smartphone producers to shorten the time to market for a brand new smartphone by means of as a minimum six months. in line with the context of Eul’s feedback, Intel might even use its huge provide-chain relationships to convey an Intel-branded smartphone that cuts approval times.

    the brand new CEO need to Lead Intel Into The post-workstation period

    How tons of Intel’s increase within the cell SoC market should be at Qualcomm’s fee is uncertain as a result of Qualcomm’s effective market place and demanding design capability. Consolidation may also be anticipated as cell processor SoC suppliers devoid of potent LTE/4G patent portfolios depart the cell enterprise as exemplified via Texas gadgets’ recent retargeting of its OMAP mobile chipset to automotive infotainment purposes. Qualcomm may additionally believe little force from Intel whereas the trade phase consolidates. long term here's an epic championship combat between two top notch rivals, each and every with more than $10 billion in money that spend 15 to 20 % of revenues on critical scientific R&D.

    Intel’s failure to make the most the mobile SoC market has commonly drawn criticism. but Intel has produced few early subscale successes. Willy Shih, a Professor of administration at the Harvard business faculty, has studied Intel and instructed us that most of Intel’s “New company Initiative” ventures failed when the new ventures could not scale to suit the profitability or volumes of the core x86 microprocessor company. The cellular processor and communications business has the attributes that meet Intel’s expectations for boom and scale. however seeing that Intel has the entire design, intellectual property, and manufacturing means to succeed in the mobile market, the brand new CEO will deserve to carve out Intel’s right talent and state-of-the-art fabrication skill and commit it to winning cell market share, most likely at some charge to the core computing device microprocessor enterprise.

    on the grounds that another increase market of the magnitude that Intel must reignite growth is not apparent, the subsequent CEO will be selected in response to his ability to steer Intel into the put up-pc period. And he might be in a position to tell this story – in all probability at CES 2014.


    The comprehensive Developer’s guide to Intel AI resources & tools (Portfolio) | killexams.com Real Questions and Pass4sure dumps

    INTEL end TO end AI PORTFOLIO

    Intel presents probably the most finished and distinct portfolio of items for desktop and deep learning from the records core to the facet. with the aid of providing compute substances for computing device researching and deep gaining knowledge of practicing and inference compute wants, Intel is enabling users to start exploring AI innovation without making their own investments in compute supplies up entrance. in addition to cloud compute components, frameworks, tools and support are supplied.

    Down the highway, the Intel Nervana hardware will carry unparalleled deep discovering performance and efficiency that dwarf regular-aim GPUs.

    builders can leverage on Intel’s AI product portfolio to speed up their AI solutions:

    1. Intel Xeon Processors

    Intel processors gas an enormous majority of servers in records centers (>ninety seven%). In a market for therefore-referred to as “accelerator” chips, Intel always bursts myths on practicing and inference on CPUs lagging behind GPUs. Intel has a portfolio of AI technology for the information core, all introduced under their Intel Nervana AI Portfolio for synergy. It includes application equipment and framework optimizations to convey super performance for data-intensive workloads to enhance the Intel Xeon Scalable processor (which meets the machine gaining knowledge of and Deep discovering needs of most organizations), Intel Xeon Phi processor, AI accelerators like Intel FPGAs, and AI-specialized Intel Nervana™ know-how (codenamed Lake Crest).

    i) Intel Xeon Scalable Processors : Designed with superior AI and HPC capabilities, together with tremendous raises in memory and i/O bandwidth, statistics scientists are able to liberate insights quicker from data-intensive workloads. It has the ability to speed up product innovation with its developments throughout compute, storage, memory and that i/O, with a purpose to significantly improve AI. It offers as much as 2.2X higher deep gaining knowledge of working towards and inference efficiency over prior generations. lately, Intel introduced the provision of the Intel Xeon processor E3–1200 v6 product family unit, which includes eight new versions that deliver key improvements in processor velocity, more suitable reminiscence capabilities, hardware-more advantageous safety and reliability facets with guide for the newest Intel portraits.

    ii) Intel Xeon Phi Processors : Intel’s upcoming generation of Intel Xeon Phi processors (codenamed Knights Mill) will bring significantly quicker throughput for training complicated neural networks for workloads that require dense compute and very high degrees of parallelism.

    iii) Intel FPGAs : FPGAs offer essentially the most promise for inference, as they can also be upgraded while within the box and could supply low latencies if found on the facet alongside a CPU, comparable to in an self sufficient automobile. Intel Arria and Stratix FPGAs characteristic as programmable hardware accelerators for specialized deep learning inference processing when mixed with Intel Xeon processors.

    in the course of the Intel student Developer program, developers can benefit direct access to their personal instance on the Intel® Xeon Phi™ powered AI cluster, to power the development and training of deep researching fashions.

    2. Intel Libraries

    Intel has developed incredibly optimized math libraries that make the most advantageous use of the a number of families of Intel processors. these optimized math libraries are the foundation for higher-level tools and frameworks that are used to solve ML and DL complications across distinctive domains.

    Intel Math Kernel Library (Intel MKL) : includes a group of tremendously-optimized efficiency primitives for DL purposes, in addition to features that have been totally optimized for single-core vectorization and cache reminiscence utilization

    Intel Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) : This library provides optimized deep neural network primitives for rapid integration into DL frameworks. It includes extremely vectorized and threaded constructing blocks for imposing convolutional neural networks with C and C++ interfaces. advantageous hyperlinks to get begun on MKL-DNN:

    Intel statistics Analytics Acceleration Library (Intel DAAL) : helps pace big facts analytics by way of providing extremely optimized algorithmic constructing blocks for all information evaluation levels (Pre-processing, Transformation, evaluation, Modeling, Validation, and choice Making) for offline, streaming and allotted analytics usages. It’s designed to be used with common records systems including Hadoop, Spark, R, and MATLAB for enormously effective records entry.

    three. Intel Optimized Frameworks

    application innovation is key to taking competencies of points in underlying hardware. it is additionally key to accelerating the development technique for analytics and HPC functions.

    past silicon, Intel is dedicated to optimizing the most common analytics, desktop & deep learning frameworks including Tensorflow, Caffe, Torch, Theano, and Spark-based MLlib and BigDL, so that they run choicest on Intel structure (IA).

    A convenient method to work with Deep gaining knowledge of is to make use of the Intel’s optimized ML and DL frameworks. the use of Intel optimized equipment and frameworks to train and installation deep networks guarantees that these tools will use Intel architecture within the gold standard approach. Examples of how some of these frameworks were optimized to take advantage of Intel architecture, as well as charts showing pace-up of those optimized frameworks in comparison to non-optimized ones, may also be present in https://utility.intel.com/en-us/ai/deep-gaining knowledge of

    The frameworks use the functionality of the libraries described above. They allow builders to perform practising and inference in a highly efficient method the use of Intel processors.

    four. Intel Deep discovering working towards device

    on account that mid-2017, Intel ambassadors have been retaining workshops in various universities and corporates around Kenya, as a part of the larger international ecosystem of the Intel student Developer program. critical to these workshops has been the training of the Deep studying working towards tool from Intel, which to say the least is heaven-despatched for any developer or facts scientist. And there are a lot of causes to it.

    Most statistics scientists and builders don’t yet use deep gaining knowledge of, due to the relative complexity of customizing deep studying fashions for their own complications, the challenges in setting up and the usage of the necessary frameworks, and the low performance of open source deep getting to know frameworks on general CPUs. This has been ground to lots of constraints in democratizing AI.

    The solution to the complexity is Intel’s Deep getting to know working towards device. The practicing device is a web software working on a Linux server and provides a consumer-friendly, intuitive interface for constructing and practicing deep studying fashions. The best part of the device is how convenient it's to coach and deploy deep researching fashions for graphic and textual content evaluation complications. testing it out with the famous MNIST dataset, training changed into carried out within below 30 minutes, a job that would at the start take greater than double the time. Intel’s Deep studying SDK includes tools for effortless information preprocessing and model compression, offering an end-to-conclusion solution. additionally, it helps scale-out on distinctive computer systems for working towards, in addition to using compression methods and optimization for deployment of the fashions on a number of Intel hardware platforms, including these with restrained reminiscence footprints and performance constraints.

    It offers:

  • The means to imagine true-time data — with out programming — all the way through the advent of deep neural networks
  • Simplified installing of deep gaining knowledge of frameworks which are optimized for Intel structure
  • integrated Jupyter* Notebooks for advanced model introduction
  • The visible potential of developing, tuning, and running deep gaining knowledge of algorithms with the model wizard
  • It continues to be presently in beta edition, even though it is confidently stable gauging from previous practising and inference actions.

    For a comprehensive installing e book, check out Marvin Ngesa’s blog.

    5. Intel Nervana DevCloud

    Intel Nervana DevCloud is a cloud-hosted hardware and utility platform for developers, facts scientists, researchers, teachers and startups to gain knowledge of, sandbox and accelerate building of AI options with free compute cloud access powered through Intel Xeon Scalable processors. by means of offering compute elements for laptop studying and deep learning practising and inference compute wants, Intel is enabling clients to beginning exploring AI innovation with out making their own investments in compute resources up entrance.

    It should be available to 200,000 builders, together with startups from Intel’s Nervana AI Academy, via an easy registration manner.

    6. Movidius Neural Compute Stick

    As Intel pushes ahead with computing device learning construction by the use of part instruments, it obtained Movidius, a chipmaker business main within the VPU (vision Processing Unit) platform for on-device vision processing. After their acquisition, they've introduced an array of products that provide vigour to inference on the aspect:

    i) Movidius Neural Compute Stick (NCS): The Movidius (NCS) is a tiny fanless deep discovering equipment that you should use to learn AI programming at the area. As Intel states, the Movidius NCS is “the realm’s first self-contained AI accelerator in a USB layout,” and is designed to allow host devices to method deep neural networks natively — or in other phrases, at the aspect. In turn, this gives builders and researchers with a low vigor and economical formulation to enhance and optimize numerous offline AI applications. below the hood, the Movidius NCS works via translating a common, expert Caffe-primarily based convolutional neural community (CNN) into an embedded neural community that then runs on the VPU.

    Movidius Neural Compute Stick

    ii) Myriad X: Myriad X is the first VPU to characteristic the Neural Compute Engine — a dedicated hardware accelerator for deep neural network inferences. The Neural Compute Engine in conjunction with the sixteen powerful SHAVE cores and an extremely-high throughput intelligent memory textile makes Myriad X the trade leader for on-gadget deep neural networks and computer imaginative and prescient purposes.

    Movidius Myriad X 7. Intel Saffron

    Saffron expertise develops cognitive computing techniques that use incremental studying to keep in mind and unify by using entity. Saffron’s enjoyable know-how ingests facts from disparate sources and instantly connects the dots to aid companies of all kinds enrich resolution-making. It captures the connections between information points at the entity level and outlets these connections in an associative reminiscence.

    The enjoyable bit is that when desktop gaining knowledge of logics and Saffron’s reasoning programs are fused, intelligent native analytics becomes feasible in the cyber web of issues.

    8. depended on Analytics Platform

    depended on Analytics Platform (tap) is a group of open supply equipment designed to make huge facts projects more convenient to put in force. tap contains a sequence of algorithms, equipment and engines to research and collaborate with statistics scientists. The utility is open supply and includes integration with Intel architecture and hardware. tap contains:

    · a data layer that includes Apache Hadoop and Spark optimized for Intel hardware.

    · An open analytics layer that can assist predictive utility programming interfaces.

    · aid for cloud native apps.


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    Intel(R) Server Specialist Certification

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    MA0–100: Intel Security Certified Product Specialist — ePO | killexams.com real questions and Pass4sure dumps

    Overview:

    The Exam MA0–100, titled as Intel Security Certified Product Specialist Exam, forms a part of the Intel Security Certification Program. Passing this test implies that the candidates is proficient in the use and implementation of McAfee ePolicy Orchestrator and McAfee Virus Scan. The MA0–100 PDF will consist of 115 questions, and the time allowed will be 165 minutes. The candidates will have to attain a score of 72% or above if they are to pass the exam and pocket the MA0–100 Certification.

    It is recommended that the candidates gain at least one year experience in deploying McAfee ePolicy Orchestrator prior to registering for the specialist exam. If the candidates are short of time, then they may avail the option of the ePO administration training, or rely on the MA0–100 Study Guides and dumps available to online for in-depth practice.

    Domains for the Exam:

    The following topics need to be thoroughly prepared by the candidates for this exam:

    Installation and Configuration of Server:

    The candidates must be familiar with the installation procedure (including encryption, protocols, and defaults), UI navigation, organizing browser; and configuration of user accounts, permission sets, ePO repositories, and automatic responses.

    Managing and Addressing the Issues in the Server:

    Being well acquainted with SQL language, performance monitoring, health checks, log files, server tasks and maintenance procedures is imperative to achieve a reasonable score.

    Product and Policy Management:

    The candidates should be well versed in managing the policy catalogue, including polices regarding super/agents, configuration of product, extension installing, maintenance, assignment rules, and satisfying clientele.

    McAfee Agent:

    Cognizance and understanding of McAfee is necessary. The test takers must read thoroughly through the topics of communication (including peer to peer and agent to agent), logging methodology, distributed depositories, and troubleshooting the factors that hinder smooth functioning (including site list, xml, duplicate GUID).

    Setting Up and Monitoring the System Tree:

    Being able to set up, populating, and organizing a system tree should be on the fingertips of the test takers. They should be conversant with tasks of tagging on clients, system presorting, group cataloguing, and deploying Rogue system detections.

    Creating and Analyzing Queries and Reports:

    It is important for the candidates to acquaint and familiarize themselves with devising and running queries to generate comprehensive reports; employing dashboards, monitors, and audit logs. They must also be able to analyze the queries the created queries and the generated reports — that is they must have a working understanding of threat events and purging.

    The experts of CertsChief offer updated version of the Preparation Guides for students preparing for the MA0–100 Test and MA0–101 Exam.

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    New Intel Xeon Processor E3-1200 v6 Product Family Delivers Essential Performance and Visuals for Professionals | killexams.com real questions and Pass4sure dumps

    Intel Corporation introduces the Xeon Processor E3-1200 v6 product family. (Credit: Intel Corporation)

    Today, Intel announced the availability of the Intel® Xeon® processor E3-1200 v6 product family, which includes eight new versions that provide key improvements in processor speed, enhanced memory capabilities, hardware-enhanced security and reliability features with support for the latest Intel graphics.

    Designed for entry-level servers used by small-business customers and powering entry-level workstations used by business professionals worldwide, the Intel Xeon processor E3-1200 v6 product family supports the increasing workloads and workflows of today’s server and workstation customers, delivering greater business intelligence, acceleration and agility.

    The Intel Xeon processor E3-1200 v6 product family enables entry-level workstations to evolve and expand to support new and powerful workloads, including design, analytics, rendering, professional virtual reality (VR), production and distribution.

    VR is one of the most exciting and revolutionary capabilities to affect professional workstation customers in recent years. Professional designers can experience the immediacy of creating a CAD drawing and quickly visualizing the draft in full 3D/VR. Now, for entry-level workstations configured to support the latest VR headset requirements, the Intel Xeon processor E3-1200 v6 product family can provide the foundation to introduce users to these immersive experiences.

    A primary motivator in considering a professional-grade entry-level server or workstation is need to protect important data and intellectual property. The Intel Xeon processor E3-1200 v6 product family includes hardware-enhanced security features such as Intel® Software Guard Extensions (Intel® SGX) to help protect sensitive data like encryption keys used for communications over the internet from unauthorized access or modification. Intel® Authenticate Solution offers customizable multifactor authentication to help protect access to the most sensitive company data.

    The Intel Xeon processor E3-1200 v6 product family delivers up to 56%1 performance improvement compared with the Intel Xeon processor E3-1200 v2, which is widely used by small businesses in entry-level workstations today. The Intel Xeon processor E3-1280 v6 supports up to 3.90 GHz base frequency with Intel Turbo Boost Technology 2.0 frequency up to 4.20 GHz. Additionally, the Intel Xeon processor E3-1200 v6 product family supports enhanced memory speeds, with configurations of robust Error-Correcting Code (ECC) memory up to 64 GB DDR at 2400 MHz.

    In addition to enhanced processor performance and support for fast memory, the latest Intel® HD graphics P630 is available on select products within the Intel Xeon processor E3-1200 v6 product family. The value and performance of Intel HD graphics P630 is reflected in an up to 3X1 graphics performance improvement when compared with an Intel Xeon processor E3-1280 v2.

    The Intel Xeon Processor E3-1200 v6 product family is shipping today and available for purchase from worldwide OEM and channel providers.  More information can be found at www.intel.com/xeone3.

    » Download all images (ZIP, 3 MB)

    1Intel® Xeon® Processor E3–1275 v6 compared to Intel® Xeon® Processor E3–1275 v2

  • Up to 56% performance improvement based on on SPECfp*_rate_base2006
  • Up to 3X graphics performance improvement based on SPECViewPerf*12 GeoMean
  • SPECfp*_rate_2006:

    Baseline: Intel® C216 chipset based Intel® Xeon® workstation platform with one Intel Xeon processor E3-1275 v2 (quad-core, 3.5GHz, 8M cache), ACRVMBY1.86C.0096.P00 September 9, 2012, Intel HT Technology enabled, 16GB memory (4x4GB DDR3-1600 ECC UDIMM), 2TB 7200RPM SATAIII HDD (WD2000FYYZ), RHEL v6.3 – 2.6.32-278.e16.x86_64. Compiler version 13.0.0.133 of Intel C++ Studio XE and Intel Fortran. Source: Intel internal estimated measurements April2013. Scores:  SPECfp*_base2006=65.1;  SPECint*_base2006=52.5;  SPECfp*_rate_base2006=130;  SPECint*_rate_base2006=185

    New: Intel® Xeon® Processor E3-1275 v6 (8M Cache, 3.80 GHz) on Intel® Server Board S1200SPL, CentOS 7.1.1503 (Core) Kernel 3.10.0-229.14.1.el7.x86_64 Compiler: C/C++: Version 16.0 of Intel C++ Studio XE for Linux Intel SSD DC S3710 800GB BIOS: S1200SP.86B.02.01.0037.101720160816; CPU Power and Performance Policy: Performance;  Memory Operating Speed: 2400;  Set Fan Profile: Performance SPECfp*_rate_base2006=203; 

    SPECViewperf* 12 GeoMean:

    Baseline: Processor Intel® Xeon® Processor E3-1275 v2 System Carlow Reference Platform GPU Intel® HD graphics P4000 Sockets 1 Memory 16GB (4x4GB DDR3-1600MHz ECC UDIMM) Storage  Western Digital WD2000FYYZ HDD Operating System  Windows 7 SP1 64 Bit  BIOS ACRVMBY1.86C  Graphics Driver 8.15.10.2712

    Scores: catia-04 7.8 creo-01 6.62 energy-01 0.06 maya-04 2.56 medical-01 1.29 showcase-01 4.09 snx-02  2.64 sw-03 12.89 

    New: Intel® Xeon® Processor E3-1275 v6 (8M Cache, 3.80 GHz) on Intel® Server Board S1200SPL, Windows 10 Professional 64-bit, 1x Intel® SSD 535 Series  (480GB, 2.5in SATA 6Gb/s, 16nm, MLC), Graphics Driver: 21.20.16.4550; OS Resolution: 1920×1080, BIOS: S1200SP.86B.02.01.0037.101720160816;  Primary Display : Display Port;  VGA Port Output: Processor graphis; CPU Power and Performance Policy: Performance;  Memory Operating Speed: 2400;  Set Fan Profile: Performance, SPECviewperf* 12          SPECviewperf v12 Geomean (R)      7.53, SPECviewperf – Catia Catia v12 (R)15.77, SPECviewperf – CreoCreo v12 (R)13.52, SPECviewperf – Energy SPECWPC 2.0 – Energy (R)0.28, SPECviewperf – Maya Maya v12 (R) 14.14,SPECviewperf – Medical Medical v12 (R)   4.28, SPECviewperf – Showcase       Showcase v12 (R) 7.91, SPECviewperf – SNX SNX v12 (R) 11.9, SPECviewperf – SW SW v12 (R) 30.58


    Avaamo Announces Reference Architecture for AI Applications, Powered by Intel® Xeon® Scalable Processors | killexams.com real questions and Pass4sure dumps

    BARCELONA, Spain, Feb. 26, 2019 /PRNewswire/ -- MOBILE WORLD CONGRESS -- Avaamo, an Intel Capital funded company, will launch a reference architecture for artificial intelligence (AI) applications, offering enterprises comprehensive, out-of-the-box configurations to easily scale conversational AI to millions of customer interactions.

    Logo - https://mma.prnewswire.com/media/826485/Avaamo_Logo.jpg

    Many companies believe that conversational AI training applications require sizeable investments in specialized hardware. However, Avaamo's model creation and knowledge graph workloads can function optimally on a standard configuration of an Intel® Xeon® Gold 6140 processor-based server. This allows businesses to quickly deploy enterprise-grade virtual assistants on existing data center resources, without significant investments or learning curve.

    "Our goal from the beginning has been to design and deliver conversational AI technology that effortlessly becomes part of large enterprises," said Avaamo CEO Ram Menon. "Working with Intel we've been able to create a reference architecture that's a one-stop shop for large enterprises looking to massively scale their in-house conversational AI deployments. This technology will allow enterprises to focus on the benefits of AI for better customer relationships and a streamlined workforce."

    Avaamo's conversational AI platform has been optimized for Intel technologies and is built to address the traditional cold-start problem in AI by:

  • Ingesting unclassified data
  • Performing unsupervised machine learning (ML) model creation
  • Optimizing the model for runtime execution
  • Enhancing the ML model with customer-specific knowledge resources
  • Avaamo can scale with a 72-core configuration of a single server to address up to 100 concurrent sessions. This provides immense flexibility for large enterprises to share powerful Intel hardware across standard and AI-specific computing workloads. Learn more here (link to http://avaamo.ai/wp-content/uploads/2019/02/AI_Builders_Avaamo.pdf)

    About AvaamoAvaamo is a deep-learning software company that specializes in conversational interfaces to solve specific high impact problems in the enterprise. Avaamo is building fundamental AI technology across a broad area of neural networks, speech synthesis, and deep learning to make conversational computing for the enterprise a reality. With over 80+ enterprise customers supporting leading brands in financial services, healthcare, retail, and insurance. Avaamo is currently deployed in 40+ countries.

    Contact:

    Justin Norton for Avaamo (415) 845-3591 or justin@avaamo.com

    Related Links

    http://www.avaamo.ai

    SOURCE Avaamo



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