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HPE0-S37 - Building HPE Server Solutions - BrainDump Information

Vendor Name : HP
Exam Code : HPE0-S37
Exam Name : Building HPE Server Solutions
Questions and Answers : 104 Q & A
Updated On : April 25, 2018
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[OPTIONAL-CONTENTS-1]

Building HPE Server Solutions

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HPE0-S37">AMD EPYC processor powers new HPE Gen10 server to world data in SPEC CPU benchmarks | killexams.com real questions with brain dumps

international. AMD (NASDAQ: AMD) today introduced that the new Hewlett Packard business (HPE) (NYSE: HPE) ProLiant DL385 Gen10 server, powered by way of AMD EPYC™ processors set world statistics in each SPECrate®2017_fp_base and SPECfp®_rate2006.

The relaxed and flexible 2P 2U HPE ProLiant DL385 Gen10 Server joins the HPE Cloudline CL3150 server in that includes AMD EPYC processors. With designs starting from 8-core to 32-core, AMD EPYC grants business-main reminiscence bandwidth across the HPE line-up, with eight channels of reminiscence and unprecedented guide for integrated, excessive-speed I/O with 128 lanes of PCIe® 3 on every EPYC processor. “HPE is joining with AMD nowadays to prolong the area’s most relaxed business average server portfolio to encompass the AMD EPYC processor. We now supply customers an additional choice to optimize efficiency and protection for today’s virtualized workloads,” mentioned Justin Hotard, vp and GM, volume international enterprise Unit, HPE.

 “The HPE ProLiant DL385 that includes the AMD EPYC processor is the effect of an extended-standing expertise engagement with AMD and a shared perception in carrying on with innovation.” AMD EPYC management cost-per-VM Server ConfigurationsThe performance of AMD EPYC is delivered via up to sixty four-cores within the HPE DL385 2P server configuration and entry to 4 terabytes of reminiscence and 128 lanes of PCIe connectivity.

The mixture of core-count and contours attains as much as 50 percent lessen cost per digital laptop (VM) HPE sees over natural server solutions.

AMD EPYC-powered HPE ProLiant DL385 Gen10 World listing Floating element efficiency·         An AMD EPYC mannequin 7601-based mostly HPE DL385 Gen10 equipment scored 257 on SPECrate®2017_fp_base, greater than every other two socket gadget rating published by SPEC®.1 ·         An AMD EPYC model 7601-primarily based HPE DL385 Gen10 system scored 1980 on SPECfp®_rate2006, larger than another two socket equipment ranking published by SPEC®.2

“The HPE DL385 positions the AMD EPYC processor appropriate in the heart of the high-volume market where dual-socket servers are generally deployed through carrier providers, huge organizations and small-to-medium dimension organizations,” spoke of Matt Eastwood, senior vice chairman, business, datacenter and cloud infrastructure, IDC.

“With its combination of excessive-performance cores, reminiscence bandwidth and PCIe connectivity alternatives it is a beautiful option to handle a wide range of business functions and workloads.” AMD comfy ProcessorEvery EPYC processor integrates hardware primarily based security. The ProLiant DL385 delivers unmatched security by the use of the HPE Silicon Root of have confidence enabling handiest validated firmware to run. The HPE Silicon Root of believe is linked to the AMD cozy Processor in the AMD EPYC SoC for firmware validation earlier than the server boots.  The AMD comfortable Processor and HPE DL385 also permits: •     at ease Encrypted memory − all the reminiscence or a portion of the reminiscence may also be encrypted to give protection to records towards memory hacks and scrapes. •     comfortable Encrypted Virtualization − VMs have separate encryption keys as does the hypervisor, setting apart the VMs from one one other and from the hypervisor itself. “AMD is proud to bring to HPE a fine stability of high-performance cores, reminiscence, and i/O for most fulfilling performance with AMD EPYC,” stated Scott Aylor, corporate VP and GM enterprise enterprise Unit at advanced Micro contraptions.  “With AMD EPYC the HPE ProLiant DL385 Gen10 can support extra digital machines per server, procedure greater information in parallel, directly entry extra local storage, while greater securely preserving information in memory.”   AvailabilityThe HPE ProLiant DL385 Gen10 server with AMD EPYC might be attainable in December 2017.

extra substances·       HPE ProLiant Servers·       EPYC on AMD.com·       follow AMD datacenter developments on Twitter @AMDServer

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"/>

picture Captions:1. (above)  AMD EPYC2. (inset)  For illustrative functions simplest (File image) About AMD For more than 45 years AMD has pushed innovation in high-performance computing, portraits and visualization applied sciences ― the building blocks for gaming, immersive platforms, and the datacenter. tons of of thousands and thousands of consumers, leading Fortune 500 corporations and reducing-area scientific analysis facilities around the world count on AMD expertise every day to enhance how they are living, work and play.

AMD employees worldwide are concentrated on constructing amazing items that push the boundaries of what is feasible.

For extra tips about how AMD is enabling these days and inspiring the following day, talk over with the AMD (NASDAQ: AMD) website and weblog.


HPE0-S37">HPE launches upgraded high-performance methods for AI purposes | killexams.com real questions with brain dumps

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HPE Apollo 4510 Gen10

photograph: supplied

Hewlett Packard business (HPE) has introduced the launch of upgraded high-density compute and storage programs to motivate adoption of excessive-efficiency computing (HPC) and synthetic intelligence (AI) amongst corporations.

The HPE Apollo 2000 Gen10 is a multi-server platform for enterprises looking to aid HPC and deep researching purposes however have restricted datacentre space. The platform helps Nvidia Tesla V100 GPU accelerators to allow deep learning practising and inference for use circumstances reminiscent of actual-time video analytics for public security.

organizations deploying the HPE Apollo 2000 Gen10 equipment can birth small with a single 2U shared infrastructure and scale out as much as eighty HPE ProLiant Gen10 servers in a 42U rack.

"HPC and AI play an increasingly critical function in digital transformation, enabling corporations to leverage modeling, simulation, and deep studying to force business innovation in areas like monetary buying and selling, laptop-aided design and engineering, video surveillance, and text analytics," HPE pointed out in an announcement.

"These areas require the parallel processing of huge, unstructured datasets that only severe compute solutions can deliver. in addition, the growing volume, pace, and variety of data increases the significance of successfully storing the statistics and decreasing software latency for parallel processing purposes."

The HPE Apollo 4510 Gen10 system is designed for organisations with statistics-intensive workloads that are the usage of object storage as an lively archive. The gadget, which has 16 p.c more cores than the previous generation, offers storage skill of as much as 600TB in a 4U kind component with ordinary server depth. It also helps NVMe cards.

The HPE Apollo 70, set to develop into accessible in 2018, is the enterprise's first ARM-primarily based HPC device the usage of Cavium's 64-bit ARMv8-A ThunderX2 server processor. it's designed for reminiscence-intensive HPC workloads, and is compatible with HPC add-ons from HPE's ecosystem partners including pink Hat commercial enterprise Linux, SUSE Linux commercial enterprise Server for ARM, and Mellanox InfiniBand and Ethernet textile solutions.

also introduced on Tuesday is HPE LTO-eight Tape, slated for ordinary availability in December, which makes it possible for enterprises to dump simple storage to tape, with a storage potential of 30 terabytes per tape cartridge -- double that of the old LTO-7 generation.

The HPE T950 tape library now outlets as much as 300 petabytes of records, whereas the HPE TFinity ExaScale tape library offers storage ability for up to 1.6 exabytes of statistics.

furthermore, LTO-8 full peak drives present as much as 360MB/s switch fee speeds, which is a 20 % performance increase from the LTO-7 era.

In July, HPE launched new HPC programs geared toward research and countrywide protection organisations that need to crunch massive quantities of records, which included the HPE Apollo 6000 Gen10 and HPE SGI 8600 methods.

HPE also currently announced partnering with Rackspace to follow the pay-as-you-go model of the public cloud to a single-tenant private cloud ambiance.

The pay-as-you-go OpenStack private cloud, delivered as a managed provider, might be often obtainable on or off-premises on November 28.

a couple of months in the past, HPE revealed it was teaming up with NASA to launch a supercomputer into area the use of SpaceX CRS-12 rocket, with the most useful intention of constructing computing supplies that may serve on board a mission to Mars.

The purpose of the joint test is to have the supercomputer, called the Spaceborne computer, operate smoothly in space for one year, which is roughly how long it might take to commute to Mars.

related insurance

red Hat commercial enterprise Linux for ARM arrives after seven years of construction

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Dell EMC high-efficiency computing bundles geared toward AI, deep studying

Dell EMC at SC 17 outlined a collection of bundles designed to deliver HPC to industries and corporations.

'Supercomputing for all' with AMD EPYC

AMD proclaims the availability of latest, excessive-efficiency EPYC-based PetaFLOPS methods.

Microsoft bets on quantum computing to crack the world's hardest issues (TechRepublic)

Microsoft is engaged on what it hopes might develop into a quantum laptop -- one in a position to assisting the world resolve intractable issues equivalent to local weather trade.

Supercomputer to your pocket: AT&T growing check web site for aspect computing (TechRepublic)

Due in early 2018, AT&T's experimental zone will provide tech leaders a spot to verify rising applied sciences like self-riding vehicles and drones.


HPE0-S37">Core blimey: Dell dunks hyperconverged server lines in Skylake | killexams.com real questions with brain dumps

evaluation Dell is increasing the performance of its hyperconverged product strains by adding 14G PowerEdge servers amid triple-digit VxRail profits boom. is that this simply a brief-term spurt or some thing deeper?

Dell's VxRail and XC sequence home equipment will use the newest Xeon Scalable Processor CPUs. The XC series is additionally being given new NVMe SSD configurations.

Skylaked VxRail techniques can deal with twice the IOPS in comparison to 13G line, have faster response times, and a ninefold enhance in response time predictability; all with the identical price economics.

They additionally get file guide with Isilon SD edge for remote workplace or area-to-core file deployments, and might have three Nvidia GPUs instead of only 1. All this expands the use case envelope in Dell's view.

The XCs stand up to 50 per cent more cores per equipment with Skylake, and 50 per cent extra GPU power. facts insurance plan software has been introduced, once more expanding the use case insurance enviornment.

a bit of to our amazement, Dell has greater than a million particular person HCI configurations, millions definitely, taking all the nit-deciding on alternate options into account.

HCI market growth

The hyperconverged infrastructure (HCI) enviornment is the quickest-transforming into element of the ordinary converged infrastructure (CI) market, with IDC recording 48.5 per cent annual growth to $763.4m in salary within the 2d quarter. HCI is now 1 / 4 of the general CI market and estimated to be worth more than $7.6bn via 2021.

Dell boasts it leads the HCI market, quoting IDC figures giving it a 29 per cent share in the 2d quarter with a 149 per cent annual boom expense.

Chad Sakac, president of Dell EMC's Converged structures and options Division, described VxRail's 275 per cent annual increase in the second quarter as "magnificent". Dell HCI revenues – that means VxRail, XC and VSAN ready Nodes – are closing in on $1bn this 12 months, the enterprise estimated.

There are round 11,000 VSAN customers, one third of whom run VxRail, which means hundreds extra clients wait in the wings. That additionally potential two thirds of purchasers want build-it-your self HCI in comparison to turnkey, hit-the-button HCI.

Sakac reckons a a hit service provider wants both styles of product – killer application and a killer turnkey product.

HCI market construction

HCI is fitting a standardised constructing block for on-premises infrastructure. In our view that ability Sakac's division may become 1000000000-dollar revenue earner.

He believes we are nevertheless in the very early days of HCI increase and it be not always a zero-sum online game, with HCI changing existing package and never growing to be the market. "it be feasible many avid gamers will develop."

He thinks HCI service provider consolidation is in fact below way. Witness Cisco purchasing Springpath and HPE acquiring SimpliVity.

Will we see new gamers? We might conceivably see a Google Kubernetes equipment. RedHat may do whatever thing, definitely having the utility and a hardware ecosystem for a build-it-your self HCI product.

HCI, Sakac thinks, is heading more and more in opposition t mission-crucial commercial enterprise use. we are going to see it being used in IoT, simplifying part IT gadget environments in all probability, and we are going to see object storage capabilities being brought to HCI performance.

comment

Upgrading its HCI items to Skylake processors is table stakes for Dell and each other x86-based HCI supplier. The further efficiency ability extra workloads will also be supported and, if suppliers don't improve, their products will seem to be underpowered.

VxRail home equipment with 14G servers are orderable with availability from December 12, and the 14G-the use of XC640, XC740xd and XC740 are available now. ®


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