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PALO ALTO, Calif., Jan. 29, 2004 - HP (NYSE:HPQ) these days announced it has joined forces with the college at Buffalo, status school of long island (UB), to set up infrastructure expertise and educational elements so as to vigour the college's world-classification middle for Computational analysis.
As a basis for bioinformatics and lifestyles sciences analysis, HP and UB are edifice an open storage enviornment community (SAN) with a skill of seventy five terabytes - capable of housing roughly four instances the tips create in the Library of Congress.
HP services will back design and set up the device and should give on-going onsite attend capabilities for UB. additionally, HP is offering cash for a one-yr consequence up-doctoral fellowship aimed toward imposing a computational and statistics grid in western long island.
"HP technology will foster protein-structure decision analysis that UB scientists are conducting with colleagues on the Hauptman-Woodward clinical analysis Institute by course of aiding a great data warehouse that they generate and then mine to be able to optimize their program in molecular constitution choice," mentioned Russ Miller, UB exclusive professor of desktop science and engineering, senior scientist at the Hauptman-Woodward clinical research Institute and director of the core for Computational analysis.
UB's fresh HP StorageWorks SAN hyperlinks to a heterogeneous grid, giving researchers extra efficacious entry to essential information and a good, bendy platform that allows for the college to adapt to future infrastructure requirements and tactics.
The open SAN is composed of HP StorageWorks commercial enterprise virtual Arrays, a StorageWorks ESL9595 tape backup retort and UNIX(r)-based mostly HP AlphaServer GS1280 techniques. HP Consulting and Integration services helped design and build the gear and will continue to give on-web page technical suggestions for a minimum of two years.
The SAN moreover will attend researchers in UB's department of Structural Biology at the Hauptman-Woodward medical research Institute. George DeTitta, Ph.D., executive director of the institute and UB professor of structural biology, plans to expend the SAN for his research on macromolecular crystal increase.
"collectively UB and HP are atmosphere a precedent for advancing computational research so one can occasions leap forward science," referred to Miller.
HP helps the creation of submit-doctoral analysis place
HP is featuring cash to aid a submit-doctoral student in UB's heart for Computational research who will heart of attention on essential facets of grid computing. This student additionally will office a liaison between the analysis middle and key scientists and engineers at HP.
This submit-doctoral student will be a piece of Dr. Miller's research team, which turned into the recipient of a $2 million national Science foundation award, to implement a computational and statistics grid in western long island that ties collectively facilities in a whole lot of groups. This grid is at the minute operational in beta kind and is the expend of the Shake-and-Bake algorithm of molecular structure decision as its verify vehicle. greater information on CCR and the grid is available at www.ccr.buffalo.edu.
"HP has a longstanding tradition of proposing applied sciences that meet essentially the most annoying computational challenges," referred to Michael Humke, director of greater schooling, HP. "Our drudgery with UB exemplifies how they can construct a basis for an ambiance that adapts to the campus' evolving wants and helps the tuition chart fresh ground in being sciences and bioinformatics."
About institution at Buffalo
The college at Buffalo (UB) is a premier research-intensive public college, the greatest and most comprehensive campus in the status tuition of ny. UB's greater than 27,000 students pursue their academic hobbies through greater than 300 undergraduate, graduate and professional diploma courses. The college offers the best levels in legislation, pharmacy and structure in the SUNY device, and is the domestic of the only complete public faculty of engineering in colossal apple State. extra guidance about UB is available atwww.buffalo.edu.
HP is a know-how options company to patrons, corporations and associations globally. The enterprise's choices span IT infrastructure, own computing and access devices, global services and imaging and printing. For the fiscal 12 months ending on Oct. 31, 2003, HP revenue totaled $73.1 billion. greater counsel about HP is obtainable at www.hp.com.
COSTA MESA, Calif., Aug. 5, 2003 (PRIMEZONE) -- Emulex industry enterprise (NYSE:ELX), the world's main company of storage networking host bus adapters (HBAs), today announced that its LightPulse 2Gb/s LP9802 PCI-X Fibre Channel HBA has been chosen with the aid of HP as a storage connectivity solution for the HP AlphaServer GS and ES server series. The Emulex LP9802 (HP model #FCA2384) absolutely enhances the HP AlphaServer GS collection, a magnificent and scalable enterprise solution which includes the lately announced high-end GS1280 techniques, and the AlphaServer ES collection, which can provide mainframe efficiency at mid-range pricing for valued clientele who claim robustness and trade-main facets.
"IT managers require server product choices that be positive company continuity inside excessive-efficiency facts storage environments, and the compund of Emulex HBAs and HP AlphaServer methods be inevitable delivery of strong options," mentioned Mike Smith, executive vice chairman of global advertising for Emulex. "Emulex continues to drudgery closely with HP to provide connectivity solutions that lead and enhance HP's AlphaServer, NAS and SAN options, further underscoring their skill to give most fulfilling-in-category HBAs to the storage networking trade."
Emulex's award-profitable LP9802 PCI-X HBA inside HP AlphaServers offers high stages of interoperability, features and performance for commercial enterprise-class shoppers migrating to next-generation PCI-X-primarily based techniques. Emulex has a longstanding OEM relationship with HP spanning greater than 5 years and an consequence in base of greater than 300,000 HBAs in HP-deployed SANs. Emulex HBAs present connectivity for a wide range of HP server and storage solutions, together with the HP NAS 8000 and Tasksmart N-collection NAS answer, HP StorageWorks Modular SAN Array and enterprise digital Array, and HP's ProLiant and Itanium(r) 2 processor-primarily based servers, in lots of operating system environments together with Linux, HP-UX and home windows(r). Emulex PCI-X HBAs are moreover backwards suitable with existing 1Gb/s and 2Gb/s Fibre Channel PCI installations. The Emulex LP9802 PCI-X HBA is thoroughly suitable with drivers that comprise Emulex's fresh centralized HBA management suite, HBAnyware, which facets driver-based technology to permit finished management of Emulex HBAs and the means to ameliorate firmware anywhere in a SAN from a unique console.
"HP AlphaServer methods combine sophisticated flexibility and scalability, enabling their customers to set up business-main options for a great selection of industry applications," mentioned Steve Jenkins, vice president and usual supervisor, HP AlphaServer Division. "The Emulex PCI-X HBAs permit HP to continue delivering the efficiency, administration and reliability that their valued clientele demand."
Emulex organization, which was named considered one of Forbes magazine's 25 fastest growing to be know-how groups in 2002, is the realm's biggest industry enterprise and developer of storage networking host bus adapters. The American Electronics affiliation additionally recently named Emulex "unbelievable Public company" for 2002.
The Emulex product families are based on internally developed ASIC, firmware and software technologies spanning both Fibre Channel and IP networking protocols, and proffer customers unreasonable efficiency, scalability, flexibility and decreased total can pervade of possession. The enterprise's products were selected by the world's main server and storage suppliers, together with Dell, EMC, Fujitsu Siemens, Groupe Bull, HP, Hitachi records programs, IBM, NEC, community equipment, StorageTek and Unisys. additionally, Emulex comprises trade leaders Brocade, computer friends, Intel, McDATA, Microsoft and VERITAS among its strategic partners. by course of a joint edifice agreement, Emulex and Intel are pioneering the business's first storage processors for Serial ATA, Serial attached SCSI and Fibre Channel interfaces within a unique architecture.
Emulex markets to OEMs and conclusion clients via its own international promoting corporation, in addition to its two-tier distribution companions, including ACAL, Avnet, Bell Microproducts, data-X, Netmarks, Tech information, TidalWire and Tokyo Electron. company headquarters are located in Costa Mesa, California. advice releases and different information about Emulex industry enterprise are available at www.emulex.com.
EMULEX They community storage
"safe Harbor" remark beneath the inner most Securities Litigation Reform Act of 1995: apart from historical suggestions, the statements set forth above comprehend forward-searching statements that involve risk and uncertainties. The enterprise needs to warning readers that a yoke of vital components may trigger actual results to vary materially from those in the ahead-looking statements. these elements encompass the swiftly changing nature of know-how, evolving industry requirements and established introductions of fresh products and enhancements with the aid of opponents; fluctuation in the growth of Fibre Channel and IP markets; changes in fiscal situations or alterations in conclusion-user claim for technology options; fluctuations or delays in customer orders; the extremely aggressive nature of the markets for Emulex's products; Emulex's means to gain market acceptance for its products; the enterprise's capacity to entice and preserve professional personnel; the company's reliance on third-celebration suppliers. These and different components which could occasions exact consequences to disagree materially from those within the forward-searching statements are additionally discussed in the company's filings with the Securities and trade fee, together with its contemporaneous filings on kinds 8-k, 10-k and 10-Q.Emulex organizationRobin Austin Sr. supervisor, Public relations (714) 513-8152 Bock Communications Kirsten Brundahl (714) 540-1030
The Omega of Alpha
It turned into Digital device Corp.'s child, which went via midlife at Compaq and now will die at Hewlett-Packard. Such is the life of the proprietary Alpha chip, the engine inside the efficacious and ultra-respectable AlphaServer computer systems.
big funding banks, science labs, producers—together with U.S. metal—and armed forces websites mainly fancy AlphaServers because they infrequently crash. Southeastern Freight traces, a $500 million trucking business, has considered its eight AlphaServers fail no greater than twice in a given year for provided that Dave Robinson, head of suggestions systems, can suffer in mind.
AlphaServers can flee three operating methods: Linux; Compaq's Tru64 Unix; or OpenVMS from Digital, which Compaq bought in 1998. OpenVMS, in certain, sparks ardour.
"That inevitable working device and the Alpha structure is much and away one of the vital surest computing systems that you may consequence your mission-vital methods on these days," says John Barr, lead technical systems architect at Memorial Hermann Healthcare equipment, a $three.3 billion health heart network in Houston.
however Come 2006, you won't be in a position to purchase a fresh AlphaServer that uses the Alpha chip. the brand fresh HP, when it took over Compaq remaining month, observed it's going to follow Compaq's mentioned draw to slay the Alpha chip and migrate AlphaServers to Intel's imminent Itanium processor.
moving AlphaServers to Intel's dominant chip line is sensible as a result of they're going to then be capable of discourse and exchange information greater conveniently with many different types of computer systems, says Jim Gursha, president of unreasonable efficiency system solutions, an Alpha consultant for principal economic institutions in colossal apple.
nonetheless, shoppers needn't drop their proprietary Alpha programs immediately.
HP guarantees to supply technical lead for Alpha-based methods via 2011.
customers disclose that what Compaq did most suitable for Alpha became to depart it lonely after purchasing Digital device. Digital engineers persevered to build the Alpha line free of obligate to remake it into a laptop-like commodity product.
Yet soon after that acquisition, Eastman Chemical began changing its 300 AlphaServers with servers working Microsoft's windows NT. "It gave the stamp fairly transparent to us that the Alpha platform ... had a very confined future," says Jerry Hale, vice chairman of information features on the $5.four billion business.
Hale expects to parade off his ultimate Alpha in 2005. It may be unhappy, he says, "but they should circulate on."company assistance
Hewlett-Packard's Alpha Division20555 status toll road 249, Houston, TX 77070(281) 370-0670www.hp.com
Ticker: HPQExchange: NYSEEmployees: Compaq: 63,100; HP: 86,200
CARLY FIORINACEO, ChairmanJoined HP in July 1999 after twenty years at AT&T and Lucent technologies. Has an M.B.A. from the school of Maryland and an M.S. from M.I.T.
MICHAEL CAPELLASPresidentJoined Compaq in 1998 as CIO; named CEO in July 1999, chairman September 2000. previously with Oracle and SAP.
PETER BLACKMOREExecutive VP, commercial enterprise programs GroupAn 11-year Compaq veteran, oversees building, manufacturing and customer relations for commercial enterprise items, together with Alpha systems.
SCOTT STALLARDSenior supervisor, industry essential SystemsHas been at HP for 27 years. some of the long-established engineers of HP's proprietary 3000 and 9000 servers.
prosperous MARCELLOVP and established manager, high performance systems Division.
KEY ALPHA PRODUCTSVarious AlphaServer hardware fashions with up to 32 processors, AlphaServer SC supercomputer, OpenVMS working device, Tru64 Unix operating equipment.
Eastman ChemicalJerry HaleChief tips Officer(423) 229-2611Project: three hundred AlphaServers exploit everybitof aspects of manufacturing unit and workplace operations at the $5.four billion chemical company, one in every of AlphaServer's early adopters. replacing everybitof AlphaServers with computers running Microsoft's home windows NT.
Southeastern Freight LinesDave RobinsonVP, administration guidance techniques(803) 794-7300Project: Runs truck-tracking, accounting and different techniques on AlphaServers. Plans emigrate to AlphaServers based on Intel chips.
Memorial Hermann Healthcare SystemJohn BarrLead Technical programs Architectjohn_barr@mhhs.orgProject: This eleven-sanatorium network runs scientific functions on AlphaServers. Plans to circulation to fresh Intel-primarily based AlphaServers.
high efficiency gadget SolutionsJim GurshaPresident(212) 831-0291Project: a protracted-time AlphaServer advisor to giant monetary and funding corporations.
Pioneer- common ElectronicsJim SageChief tips Officer(440) 720-8580Project: using AlphaServers since 1996. at the minute has 13 servers that exploit order processing, fiscal applications and an information warehouse.
Arrow Tru-LineRick HallettInformation know-how manager(419) 446-2785Project: The steel-door company runs everybitof principal techniques, together with monetary, billing, stock and order processing, on an AlphaServer.
The executives listed here are everybitof Hewlett-Packard Alpha Division customers. Their willingness to talk has been established via Baseline.
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Sometimes, a startup takes such a fresh and profound approach to a problem that it is arduous to know where to start to rehearse how radical of a change that company has made in developing its product. So it is with Vast Data, a storage company based in fresh York that is uncloaking from stealth mode today with an exascale class non-volatile storage clustering hardware and software that it claims can finally and forcefully deserve the disk drive extinct in the datacenter by using a clever mix of cheap QLC flash, 3D XPoint storage class memory, NVM-Express over Fabrics interconnects, and very clever software and algorithms.
Vast Data was founded back in early 2016 by Renen Hallak, the company’s chief executive officer, Shachar Fienblit, vice president of research and development, and Jeff Denworth, vice president of products. Hallak was formerly vice president of research and progress at XtremIO, one of the hottest enterprise everybitof glimmer array startups of the first wave of glimmer to enter the datacenter and a company that was acquired by EMC in May 2012 for $430 million as its product was quiet in progress and an impending threat to other EMC disk and glimmer arrays. Fienblit was chief technology officer at Kaminario, which carved out a niche a few years earlier as a provider of very high performance everybitof glimmer arrays. Denworth was in pervade of product management at DataDirect Networks, a maker of parallel file systems aimed mostly at the HPC and media and entertainment sectors and a company that has moreover carved out a well niche for itself in a very competitive market. Other early employees of Vast Data hail from Isilon Systems, NetApp, pure Storage, IBM, Cisco Systems, MapR Technologies, Google, and Amazon Web Services and, as you might expect, they suffer profound experience with glimmer media and scalable storage architectures.
Perhaps equally significant to this bench of technical expertise is the backing that Vast Data has attained from investors and early adopters. Vast Data has raised $80 million in two rounds of funding, with its succession B round announced today being led by TPG, a company that usually only makes late stage investments when it knows the company has a high casual of success; Goldman Sachs, Dell Technologies, Norwest Venture Partners, and 83North suffer moreover kicked in the funds to glean Vast Data going.
“We suffer created a fresh ilk of storage architecture that breaks a whole slew of tradeoffs that existed in the storage industry for the past few decades,” says Denworth, throwing down the gauntlet to everybitof of the other makers of everybitof glimmer arrays aimed at the datacenter. “We suffer engineered a system that combines the performance of glimmer with the economics that people only would suffer ever expected to glean from arduous disks in a very scalable system architecture that’s essentially an exabyte-scale parallel file system. And they believe companies can expend it for everybitof of their applications, ranging from enterprise industry applications to supercomputing to artificial intelligence to backup and more.”
Vast Data has had products in territory trials since the proximate of 2017 and quietly launched Version 1.0 of its product back in November 2018, with common Dynamics, Ginko Bioworks, and Zebra Medical Vision being its first marquee customers. Denworth says that it has sold petabytes of capacity already and that it has multiple customers placing orders for multiple petabytes of capacity perquisite out of the gate, and that gauged against some of the other historically rapidly growing infrastructure companies – NetApp network attached storage, Cisco Systems UCS blade servers, Nutanix hyperconverged storage, pure Storage everybitof glimmer arrays Come to mind, but there are others – Vast Data has booked more revenue in its first 90 days of doing industry than they did.
It is an impressive start, and to glean one fancy that means that Vast Data is on to something, that it is brining the perquisite mix of hardware and software to tackle a colossal problem and customers are responding to it.
Hallak tells The Next Platform that there was a inevitable amount of skepticism about what Vast Data was going to try to do, perquisite from the beginning, which is moreover often a beneficial badge when a company sets out to shiver things up. And it is best at this point to let Hallak interpret the story:
We are everybitof about breaking tradeoffs and a lot of the legacy constraints and tradeoffs that existed over the final twenty years. In fact, when they set out to build a scale out file system and object store, everyone said: “You’re crazy. Everything you know from the shroud world is not relevant. This takes seven to eight years to build it right. And there is simply no course to conclude it faster than that.” And they didn’t listen to them. They did not talk to the people that had a lot of experience in file systems, although they had a yoke on their team. But most of their team did not. And what they did was they looked at the fresh landscape that included very low cost flash, a fresh technology called NVM-Express over Fabrics, and a revolutionary storage class remembrance called 3D XPoint. This landscape was off in the future when they started at the rise of 2016. These things did not exist but they saw them on the horizon and they designed a system as if they did exist. The proximate result was that most of the complications, most of the tradeoffs, that Come with edifice a scale out filesystem conclude not exist when you build it on top of these mechanisms. They conclude not exist when you build it using their architecture. They conclude not exist when you build it in the course that they suffer with their metadata structures. And so they suffer the handicap of not having everybitof of this baggage both from a legacy code perspective and from a mindset perspective. And after about a year, when they came out with their alpha product, I went back to those people they initially talked to and I asked them why did they disclose it would purloin seven or eight years? And they said because of locking, which is a complicated problem to solve, and because of diminutive files, which is moreover complicated problem to resolve because of metadata operations, because of great directories and great files that need to span the cluster. everybitof of these things glean solved inherently by their architecture in a much simpler way. And so they can demolish these tradeoffs, usually not by writing a lot of code but moreover by not needing to deal with the passe problems.
The first major demolish that Vast Data did with storage cluster convention is to conclude away with the direct attached, shared nothing architecture, which is where storage hangs off of or is embedded in a controller that can notice maybe dozens of devices. In the shared nothing architecture, each node is responsible for its piece of the file system namespace – the list of where things are located. Vast Data’s Universal Storage has what Hallak calls a profound glimmer cluster architecture, and what is meant by that is that the physical storage is disaggregated and linked across the NVM-Express over Fabrics interconnect rather than directly attached to a storage cluster node, and the namespace, as controlled by metadata servers, is shared everything and completely separated in a higher tier away from the storage devices themselves. fancy this:
Importantly, the compute dedicated to the control plane of the Universal Storage cluster can scale completely independently of the storage below it out on the NVM-Express over Fabrics interconnect. This kind of disaggregation is not new. Hyperscalers such as Google, Facebook, and Amazon Web Services suffer created vast arrays of disk and glimmer and linked them to compute over giant Clos networks spanning a 100,000 devices in an entire datacenter for a decade now. And Hallak gives them a tip of the hat for breaking fresh ground, and breaking up storage to create disaggregated architectures, but says that Vast Data has done a bunch of things a decade later that they could not conclude then because QLC flash, 3D XPoint, and NVM-Express over Fabrics did not exist back then.
“We are inspired by them, but I deem they glean not only to the next level, but four levels higher,” boasts Hallak. “I deem their disaggregation was based on technologies that were available when they did it, and that worked to a inevitable extent, but they can conclude disaggregation without compromising performance. Specifically, NVM-Express over Fabrics and 3D XPoint enable us to disaggregate while quiet getting the selfsame smooth of performance that you would glean from a direct attached SSD. So I deem they are taking it further than they have. They suffer definitely been inspired by those hyperscale architectures, but they are trying to bring that to the masses, not suffer it in the hands of just a few companies.”
In looking at those shroud diagrams of the Universal Storage cluster above, there are a yoke of things to note. The bottom layer is called an HA enclosure by Vast Data, short for high availability presumably, and as the designation and the diagram suggests, it is a JBOF that includes SSDs crammed with the fresh QLC flash, some 3D XPoint SSDs, and four NVM-Express over Fabrics ports that can be implemented atop 100 Gb/sec Ethernet or 100 Gb/sec InfiniBand, you choose. The architecture is to not only disaggregate compute from capacity, but to disaggregate logic from status in the storage cluster. To reach exabyte scale, you suffer to cluster up about 1,000 of these HA enclosures on an NVM-Express fabric. To actually control access to that capacity, you fire up nodes in what Vast Data calls the container layer, which creates the global namespace in Docker containers and which moreover shares data between container nodes over its own 50 Gb/sec Ethernet fabric.
The upshot is that the storage tier, which yields about 2 PB of usable capacity when data reduction techniques are used, is completely stateful, and everybitof data is persistent because it is written down to 3D XPoint first and then, after a lot of complicated math and machinations, is shifted off to the QLC flash. The control plane that provides access to the data is stateless, ephemeral, and dynamically scalable such that as you consequence I/O demands on the system from applications, you can just scale up the compute in this container tier and rebalance the cluster to exploit the job.
Vast Data is bringing its Universal Storage to market in three different ways. You can buy the HA enclosures for the storage and the server appliances running the containers from Vast Data, loaded up with its software and ready to go; you can just buy the HA enclosures for the storage and flee the containers on the hardware of your choice; or you can build your own HA enclosures and container servers and just buy the Universal Storage software.
One of the underhand sauces of the Vast Data storage is its shared everything namespace and the distributed namespace that implements it in those Docker containers. “Our metadata is structured in a course that it looks the selfsame regardless of the directory restructure, the file sizes, and basically anything that the user can do. If you suffer a trillion tiny files or a 100 PB file, their metadata structure always looks the same, which is a wide, fan out tree which limits the number of accesses that they need to a constant. They can suffer a constant, and not just one or two, because storage class remembrance is so rapidly and the majority of the metadata will reside in the lower levels of the tree such that they can play with how many glimmer accesses they really need. In most cases they won’t need any glimmer accesses for metadata operations.”
This distributed metadata is the key to scaling out the storage and providing the shared everything architecture that lets this scale befall directly, without having to cache any data in DRAM in a controller somewhere. It only takes seven layers of metadata trees to reach exabytes of persistent 3D XPoint and QLC glimmer storage.
“Storage class remembrance is used for two things,” Hallak explains. “It’s not an internal tier within the system. They are against tiers. That is their religion. They conclude not believe in tiering. They expend storage class remembrance internally as a metadata store that enables everybitof of the loaded functionality that they provide and as a write buffer in order to overcome a lot of the deficiency of low cost glimmer as well as a course for us to suffer time – suffer compute time – to conclude more advanced processing of data after they suffer acknowledged writes to the application.”
The protocol layer, which rides atop this metadata, currently consists of NFS v3 file system and S3 object storage protocol access to data, and these rides atop a data store that implements superset of object, block, and file storage such that Vast Data can expose data in the store in any protocol that customers need in the future. Hallak says that the SMB shroud access commonly used with Microsoft’s Windows Server is probably the next protocol that it will implement, and that it probably will not conclude the HDFS file system that underpins Hadoop.
“The key takeaway for the protocols is that they will add what customers claim us to,” says Hallak. “But the more spicy point is that the different protocols moreover stem from these historic storage tradeoffs. The judgement you suffer a shroud interface is because it’s faster than anything else. The judgement you suffer a file interface is because it’s more convenient. The judgement you suffer objects is because it’s more scalable than what file and shroud can give. If they can in the selfsame system provide you performance of shroud at the scale of objects, then the convenience of file is basically everybitof you’ll ever want to use. We’re not adage to customers they suffer to change their applications. They will deliver the protocols that they want. But customers that are looking to change their applications because they hit a scale restrict or that they had a performance restrict don’t need to conclude so.”
So the number of storage access protocols that future applications will need might be smaller than they might think. These are aboriginal protocols, not gateway layers that flee atop protocols, and the internal structure of the file system is called an component store, which provides the internal abstraction that gets expressed as a file, an object, a directory, an S3 bucket, and maybe even a volume when Vast Data exposes that SMB shroud interface.
Vast Data has created a set of data reduction and wear leveling techniques for glimmer that warrant much deeper analysis, but suffice it to disclose on announcement day that the toughest thing that Vast Data had to tackle was creating these techniques that can bring the cost of glimmer down to that of disk drives. Having accomplished this, Hallak says that Vast Data can deliver an everybitof glimmer clustered storage system that is “orders of magnitude lower cost than any other glimmer system out there, and it is orders of magnitude higher performance than any other arduous drive based system out there.”
We will moreover be exploring this in a future story. remain tuned.
Feb 25, 2019 (MarketersMedia via COMTEX) -- The report on the global Cloud high Performance Computing (CHPC)market covers historical market trends, market dynamics, market valuation by segmentation as well as region, key player's market share analysis, competitive landscape and supply chain analysis.
Pune, India - February 25, 2019 /MarketersMedia/ --
The report published by Market Research Future (MRFR) projects that the global cloud high-performance computing market is marked to exhibit expansion at a robust CAGR of 21% during the forecast era of 2017-2023 and reach the market valuation of over USD 22 Bn by the proximate of the review period. Increasing adoption of cloud-based services in various industrial sectors, rapid technological advancement, increasing availability of cloud-based service providers and high claim for high-performance cloud computing in various end-use industries are majorly propelling the growth of the global cloud high-performance computing market. However, concerns regarding data security in cloud-based storage and management solutions are restraining the expansion of the global cloud high performance computing market during the assessment period.
A high number of enterprises are leveraging cloud HPC, and the number tends to be increasing gradually. The escalating need to manage complex tasks and emergence of colossal data can be attributed for this wide adoption of cloud HPC. The supple pay-as-you-go model moreover is a major driver of the growth of the market where enterprises only pay for the particular service they use. Other factors which favor the growth of the cloud HPC market comprehend state-of-the-art computing environment, high-performance data analysis. Virtualization flexibility of cloud HPC as compared to traditional HPC is another factor propelling the growth of the market which allows scientists to build their own virtual machines and configure them according to needs. Deployment of fresh embedded processors solution, adoption of cloud HPC by governments, and growing recognition of Cloud HPC are moreover giving a thrust to the market growth.
Get a Sample Report @ https://www.marketresearchfuture.com/sample_request/5816
? International industry Machines Corporation (U.S.),? Microsoft Corporation (U.S.),? Google, LLC (U.S.),? Dell, Inc (U.S.),? Amazon Web Services (U.S.),? Penguin Computing (U.S.),? Sabalcore Computing Inc (U.S.),? Univa Corporation (U.S.),? Gridcore AB (Sweden),? Adaptive Computing (U.S.),? Hewlett Packard Enterprise (U.S.)
Other vendors comprehend Silicon Mechanics, Inc (U.S.), Atos SE (France), Nvidia Corporation (U.S.), R Systems NA, Inc (U.S.), Oracle Corporation (U.S.), The MathWorks, Inc (U.S.), ToutVirtual, Inc (U.S.), T-Services (Russia), Wolfram Alpha LLC (U.S.), Fujitsu Ltd (Japan), Intel Corporation (U.S.), Advanced Micro Devices, Inc (U.S.), Cisco Systems, Inc (U.S.), Hitachi Ltd (Japan), Huawei Technologies Co Ltd (China), Rescale, Inc (U.S.), Nimbix, Inc (U.S.), Alibaba Cloud (China), ARCTUR (Slovenija), CSUC (Spain), TotalCAE (U.S.), TheUberCloud, Inc (U.S.) among others.
According to MRFR, The Cloud High-Performance Computing Market Is Estimated To Grow At A CAGR Of 21% During The Forecast era 2017-2023
SegmentationThe global cloud high performance computing market has been segmented on the basis of services, component, deployment, and industry vertical. Based on services, the global cloud high performance computing market has been segmented into professional services, managed services, and other services. The professional services segment has been sub-segmented into integration and deployment service, maintenance & back services, and consulting service. Other services in the global cloud high performace computing market comprehend infrastructure as a service (IaaS) and platform as a service (PaaS).
Based on component, the global cloud high performance computing market has been segmented into hardware and software. The hardware segment has been sub-segmented into the server, storage, and networking devices. The software segment has been sub-segmented into clustering software and analytics tools. Based on deployment, the global cloud high performance computing market has been segmented into the public cloud and hybrid. Based on industry vertical, the global cloud high performance computing market has been segmented into banking and fiscal services, retail, manufacturing, healthcare, IT & telecommunication, energy & utilities, transportation, and others
Regional analysisGeographically, the global cloud high-performance computing market has been segmented into four major regions such as North America, Asia Pacific (APAC), Europe, and the comfort of the world. The North America region commands the maximum share of the global cloud high performance computing market owing to the high concentration of players providing cloud-based services, simple adoption of advanced technology, increased reliance on cloud-based solutions and rapid industrialization which is inducing high claim for advanced computing technology in this region. progress of supercomputing facilities, increased adoption of cloud-based solutions and current technological advancement are fueling the growth of the cloud high-performance computing market in the Asia Pacific region.
Browse Complete Report @ https://www.marketresearchfuture.com/reports/cloud-high-performance-computing-market-5816
Intended Audience? HPC vendors? System integrators? Consultancy and advisory firms? End-Users? Data integration service providers? Managed service providers? Enterprise customers
LIST OF TABLESTable1 World Population by Major Regions (2017 To 2030)Table2 Global Cloud high Performance Computing Market: By Region, 2017-2023Table3 North America Cloud high Performance Computing Market: By Country, 2017-2023Table4 Europe artificial Intelligence Chipsets Market: By Country, 2017-2023Table5 Asia-Pacific artificial Intelligence Chipsets Market: By Country, 2017-2023Continued......
LIST OF FIGURESFIGURE 1 Global Cloud high Performance Computing market segmentationFIGURE 2 Forecast MethodologyFIGURE 3 Porter's Five Forces Analysis of Global Cloud high Performance Computing MarketFIGURE 4 Value Chain of Global Cloud high Performance Computing MarketFIGURE 6 Global Cloud high Performance Computing Market, 2017-2023,FIGURE 8 Global Cloud high Performance Computing Market size by Deployment, 2017Continued......
About Market Research Future:At Market Research Future (MRFR), they enable their customers to unravel the complexity of various industries through their Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.
MRFR team suffer supreme objective to provide the optimum attribute market research and intelligence services to their clients. Their market research studies by products, services, technologies, applications, proximate users, and market players for global, regional, and country smooth market segments, enable their clients to notice more, know more, and conclude more, which attend to retort everybitof their most distinguished questions.
Contact Info:Name: abhishek SawantOrganization: Market Research FuturePhone: +1 646 845 9312Website: https://www.marketresearchfuture.com/reports/cloud-high-performance-computing-market-5816
Source URL: https://marketersmedia.com/cloud-high-performance-computing-chpc-market-2019-size-competitors-strategy-regional-analysis-and-industry-growth-by-forecast-to-2023/485706
Release ID: 485706
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