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000-111 IBM Distributed Systems Storage Solutions Version 7

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Test title : IBM Distributed Systems Storage Solutions Version 7
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IBM IBM Distributed Systems Storage

Japan's Fukui pecuniary institution moves to IBM Cloud to transform the manner it Does company | actual Questions and Pass4sure dumps

IBM Cloud Migration manufacturing facility will champion Fukui migrate vital know-how extra quickly and efficiently

ARMONK, N.Y., April 18, 2019 /PRNewswire/ -- IBM functions (NYSE: IBM) introduced an agreement with Japan-based mostly Fukui bank emigrate its distributed processing apparatus to IBM Cloud to champion power operational transformation to tackle consumer needs, and champion the pecuniary institution enhance its initiative to champion local neighborhood building.

IBM corporation logo. (PRNewsfoto/IBM)


Banks are presently confronted with shifting buyer behaviors and expectations in areas fancy true-time banking, cellular capabilities, and access to finished pecuniary facts. As consumer preferences eddy into more customized, it is crucial for each worker to respond for that reason, without detain reply to alterations, and provide unreasonable first-class digital consumer service. Fukui pecuniary institution is additionally riding its transformation to align with changes in its managerial environment, which requires a more bendy IT atmosphere that furthermore bolster the bank's operational safety.

IBM Cloud gives a framework that allows for applications in a virtual infrastructure atmosphere to breathe migrated as is, so that it will aid Fukui pecuniary institution build a cloud environment immediately.

As Fukui pecuniary institution continues to movement data, functions and linked functions from its existing infrastructure to the cloud, it's the employ of IBM Cloud Migration factory to seize a multi-pronged approach to re-host, re-platform, re-architect, and modernize its infrastructure. through the employ of IBM Cloud Migration manufacturing unit with automation and other tools, the bank is looking to in the reduction of migration prices and time.

The pecuniary institution plans to start operation on IBM Cloud in the first half of this 12 months.

besides its core banking gadget, Fukui pecuniary institution uses a number of hundred different disbursed techniques which occupy been built by means of its headquarters and numerous divisions for their individual operations.

The bank is adopting IBM Cloud to accelerate its distributed processing programs and plans to migrate these mission-critical workloads using IBM Cloud for VMware solutions. With IBM Cloud for VMware options, Fukui bank can instantly migrate to the cloud without having to exchange existing tools or approaches and maintain the very level of control, safety and lines. The pecuniary institution can additionally build a totally aboriginal subsequent-technology digital infrastructure ambiance on IBM Cloud, which aptitude future cloud usage, comparable to hybrid cloud adoption, can breathe greater with ease carried out.

IBM and Fukui bank signed this transaction in q4, 2018.

Media Contact

Conor GoldenIBM Media

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IBM Named a leader in Gartner's Magic Quadrant for dispensed File methods and demur Storage | actual Questions and Pass4sure dumps

ARMONK, N.Y., Nov. 2, 2016 /PRNewswire/ -- IBM (NYSE: IBM) has been recognized as a pacesetter for dispensed File programs and demur Storage in Gartner's 2016 Magic Quadrant for allotted File programs and demur Storage [ 1] .

according to Gartner, "companies in the Leaders quadrant occupy the optimum scores for his or her skill to Execute and Completeness of vision. A supplier in the Leaders quadrant has the market share, credibility, and advertising and sales capabilities obligatory to pressure the acceptance of new applied sciences. Market Leaders will customarily breathe in a position to execute strongly throughout numerous geographies with products that cover both allotted file programs and demur storage offerings. they'll furthermore occupy consistent fiscal efficiency, wide platform pilot and springy deployments fashions."

past this 12 months in Gartner's censorious Capabilities for demur Storage [2 ] record, IBM received the highest scores for key employ circumstances necessary to shoppers, together with: Analytics, Archiving and Cloud Storage. additional extending the IBM Cloud demur Storage retort providing, IBM recently announced new public cloud functions that complement or not it's scalable demur storage on premises offering with wonderful hybrid cloud alternatives throughout the expansive community of IBM Cloud facts centers everything over the world.

"IBM Spectrum Scale and IBM Cloud demur Storage occupy mixed to proffer customers a versatile, scalable retort that may furthermore breathe deployed on premises and furthermore employ public cloud functions," celebrated Ed Walsh, widely wide-spread supervisor of IBM Storage and application defined Infrastructure. "via automating the circulation of demur storage to the cloud within Spectrum Scale, IBM's pellucid Cloud Tiering extends ordinary storage in cloud repositories with policy pushed, simplicity, safety, and handle."

Nuance: Managing R&D facts on HPC Grid with IBM Spectrum Scale  To champion its research and construction groups, voice and language options leader, gradation Communications makes employ of unreasonable efficiency computing (HPC) grids for the development of recent purposes – every slight thing from speech awareness and imaging to cell-enabled and healthcare services. The crew tasked with presenting the infrastructure for its globally dispersed developers sought a solution to supply scale and anytime, anyplace accessibility, with regionalization and secure segmentation as integral, to the records stored inside its HPC grids.

"Spectrum Scale pellucid cloud tiering not best gives us the skill so as to add cloud and demur storage with ease but additionally enables us to flux information seamlessly between file, object, and cloud," celebrated Bob Houvener, Sr. Dir world IT Infrastructure and advanced Computing, gradation Communications, Inc. "we can movement in opposition t preserving a unified view of everything their facts under a solitary safety and management infrastructure."

nowadays, gradation has develop into more efficient in its employ of storage each vertically, to scale to transforming into potential demands and horizontally to immediately control diverse storage forms, every with differing prices.

[1] Gartner, Magic Quadrant for allotted File programs and demur Storage, October 20, 2016. identity: G00307798, Analyst(s): Julia Palmer, Arun Chandrasekaran, Raj Bala.

[2  ] Gartner, necessary Capabilities for demur Storage document, March 31, 2016 id: G00271719; Analyst(s): Arun Chandrasekaran, Raj Bala, Garth Landers. *Use instances: Analytics, Archiving, Cloud Storage.

Gartner doesn't insinuate any seller, product or provider depicted in its research publications, and does not recommend expertise clients to elect simplest those companies with the maximum scores or different designation. Gartner research publications consist of the opinions of Gartner's research company and should now not breathe construed as statements of truth. Gartner disclaims everything warranties, expressed or implied, with admire to this analysis, together with any warranties of merchantability or health for a specific aim.

About IBM For more on IBM Storage, search recommendation from

For extra tips on IBM Cloud demur Storage, visit

Media Contact: Greg VitarelliIBM Media

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IBM’s multicloud storage refresh puts data in everything places | actual Questions and Pass4sure dumps

companies are more and more unfolded throughout distributed suggestions technology environments. distinct purposes dispersed across multicloud computing buildings may require storage with numerous personalities to optimize performance and operations … and manage charge.

“It’s not the flamboyant home windows; it’s now not the fancy paint. but if that basis isn’t right, what occurs? The total constructing falls down,” talked about Eric Herzog (pictured), chief advertising officer and vice president of worldwide storage channels at IBM storage techniques and utility-described infrastructure.

Most groups are adopting multicloud recommendations. This capability they occupy got distinct types of workloads — legacy, monolithic, cloud-native and microservices-based mostly, to title a number of. They may additionally accelerate in on-premises data facilities, virtualized environments, or in public cloud. One storage sort could provide that solid foundation in a solitary ambiance however not an additional.

A storage misfit may sequel in negative utility efficiency and overspending. IBM has refreshed its huge storage portfolio to answer the wants of workloads on-prem, in the cloud, and in everything places in between.

In a two-part video collection, Herzog spoke with Peter Burris, host of theCUBE, SiliconANGLE Media’s cell livestreaming studio, at theCUBE’s studio in Palo Alto, California. They mentioned the storage wants of nowadays’s distinct workloads and IBM’s latest enhancements to its storage portfolio (watch finished video interviews with transcripts here and right here). (* Disclosure beneath.)

Watch Herzog’s first interview with theCUBE below:

To cloud or now not to cloud? a price query

When profiling records for an excellent storage healthy, businesses should dissect performance needs, cost, security and utilization. information that is going to circulate around lots may additionally cost a corporation a bundle if they achieve it within the cloud, in response to Herzog.

“Going to a public cloud provider, which saturate both for out and in of the information, that truly can furthermore can saturate more than purchasing an array on-prem,” he noted. 

however, many groups may now not want any dataset to breathe permanently inevitable on-prem. IBM has made compatibility with everything cloud suppliers a main objective of its storage refresh. Its cloud tiering enables clients to tier their on-prem storage arrays to their cloud instances.

“we will tier to the cloud. they are able to backup to the cloud. With demur storage, they are able to vicinity [data] in the cloud. We’ve made the cloud, if you will, a seamless tier to the storage infrastructure for their shoppers,” he mentioned. 

Watch Herzog’s 2nd interview with theCUBE beneath:

statistics flies round retract back and forth to cloud and again

additionally in the bang-for-your-buck category are IBM’s new non-volatile remembrance specific choices. Its Storwize portfolio now comprises the V7000, V5100, and other fashions with NVMe each interior the array and assist for NVMe over cloth.

“These solutions everything deliver theatrical efficiency advantageous properties but brilliant fee coupon codes as well,” Herzog observed. “as an instance, the 5010E is not handiest twice as swiftly because the older 5010, but it surely occurs to breathe up to 25% less costly,” he pointed out. The V7000 and V5100 bring NVMe to market at a a whole lot lessen cost than rivals offer, he delivered. 

Storewize arrays furthermore arrive with award-successful Spectrum Virtualize utility that presents enterprise-category statistics services. These include image, replication, data-at-rest encryption, transparent tiering to cloud, migration, etc.

one other fresh addition is Spectrum Virtualize for Public Cloud. It sits in a VMware Inc. virtualized instantiation out on the public cloud issuer, giving commercial enterprise-class functionalities. It enables information emigrate or replicate between heterogeneous on-prem storage methods and IBM Cloud or Amazon web capabilities Inc. IBM plans to extend it to greater clouds sooner or later. 

be inevitable to seize a peek at more of SiliconANGLE’s and theCUBE’s dice Conversations.  (* Disclosure: IBM Corp. subsidized this segment of theCUBE. Neither IBM nor different sponsors occupy editorial handle over content material on theCUBE or SiliconANGLE.) image: SiliconANGLE due to the fact that you’re right here …

… We’d fancy to disclose you about their mission and how that you could assist us fulfill it. SiliconANGLE Media Inc.’s business model is based on the intrinsic price of the content, no longer advertising. not fancy many online publications, they don’t occupy a paywall or accelerate banner promoting, as a result of they want to preserve their journalism open, devoid of influence or the need to chase traffic.The journalism, reporting and commentary on SiliconANGLE — along with are living, unscripted video from their Silicon Valley studio and globe-trotting video groups at theCUBE — seize loads of complicated work, time and money. conserving the best unreasonable requires the champion of sponsors who are aligned with their vision of advert-free journalism content material.

if you fancy the reporting, video interviews and different advert-free content material here, please seize a second to check out a sample of the video content supported by means of their sponsors, tweet your support, and preserve coming again to SiliconANGLE.

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IBM Hosts First APAC MOBI Colloquium to Promote Standards and Accelerate Adoption of Blockchain in Human Mobility | actual questions and Pass4sure dumps

Major car makers and technology companies convene to argue how to beget human mobility safer and greener for better character of life SHANGHAI, April 17, 2019 /PRNewswire/ -- Today, members from the Mobility Open Blockchain Initiative (MOBI) and representatives from major technology companies and automakers convene at IBM's China Headquarters in Shanghai to argue the passage forward to accelerate the development of connected cars and autonomous mobility solutions. The first APAC MOBI Colloquium sets out to explore the current situation of blockchain research and development, IoT solutions, and how these new technologies can beget mobility greener, safer, and more accessible for China and the region.   Today's vehicles are evolving from a mode of transport to stirring data centers with onboard sensors and computers that capture information about the vehicle and its surroundings.  Blockchains can unleash this data to power a new and more sustainable future.

In China, blockchain is undergoing a epoch of rapid growth and experimentation. The People's Bank of China recently backed and piloted a new blockchain-based trade finance platform, the judiciary adopted rules making blockchain evidence admissible in court, and the Agricultural Bank of China made a blockchain mortgage. The development of blockchain technology itself is key to the nation's technological advancement. 

"Blockchain and decentralized ledger technology has considerable potential to beget mobility greener, safer, and more accessible for cities around the world, especially for nations with rapid urbanization fancy China," said Chris Ballinger, CEO of MOBI. "MOBI is set up to promote the advancement of a future solution that combines smart cities and connected cars to beget people's lives better. This is a colossal mission. It is not a chore to breathe realized by a solitary company.  By bringing together key stakeholders, experts, and partners, they believe MOBI is in the right position at the right time to forward this august vision."

China has more than 300 million registered vehicles – almost the very number as people in the United States – and the number continues to rise. [1] 10 out of the 25 most congested cities in the world are in mainland China. [2] Motor vehicle emissions occupy become a major source of air pollution in China. [3]

A new mobility solution is needed to ensure a sustainable future.

If this vision can breathe realized, the benefits it brings to their society are immense. Studies [4] occupy shown that autonomous vehicles can optimize fuel efficiency and reduce emissions by 60%. In the US alone, people in urban areas spend about 7 billion hours in traffic every year. That's 3.1 billion gallons of fuel wasted and $160 billion lost due to traffic congestion. Most importantly, by minimizing human error, autonomous vehicle solutions can reduce accidents by 90%.

All this is considerable but they still occupy a just passage ahead of us. According to a Rand Corp study, [5] 1 trillion miles of self-driving data is needed in order for autonomous vehicle models to breathe accurate and safe. Waymo, the former Google autonomous car project, is driving 25,000 miles a day. At this rate, it would seize close to 110,000 years to gain the Rand Corp mileage target.

"The linchpin is data," said Trent McConaghy, founder of Ocean Protocol. "We are bringing to MOBI a blockchain-powered platform that enables data to breathe shared in a safe, privacy-preserving, borderless fashion. Algorithms can travel to data to Get trained without exposing the data or taking a copy. This is model for MOBI's partners and community to retain data privacy and ownership. For the first time they can unlock the value of data without unlocking data itself," McConaghy continues.

The MOBI Colloquium Shanghai brings together a diverse network of industry leaders and startups, providing them with a platform to participate erudition and innovate. Widespread adoption of blockchain technology cannot breathe achieved without the creation and agreement upon standards to regulate the ecosystem. By encouraging communication between differing industries, MOBI helps drive forward blockchain scalability. China's robust mobility, blockchain, IoT, and AI ecosystem offers tremendous opportunities for MOBI community members to create a brighter and safer future.

The first APAC MOBI Colloquium is hosted by IBM and co-organized by CPChain and Tribe Accelerator.

About MOBI

MOBI is a nonprofit foundation formed to accelerate adoption of and to promote standards in blockchain, distributed ledgers, and related technologies for the capitalize of the mobility industry, consumers, and communities. MOBI and their partners are creating simple, benchmark and digital ways of identifying cars, people, and trips, of paying for mobility services, and securely exchanging and monetizing data in ways that preserve property rights and privacy.

MOBI is working with most of the world's great automakers and many mobility ecosystem players, along with many start-ups, non-profits, governments, NGOs, transit agencies, and technology companies. They are convinced that by working together they can beget mobility services more efficient, affordable, greener, safer and less congested. MOBI is an open, inclusive corpse that acts as a 'trusted convener' and partner to entities in the emerging ecosystem of pay for use, on demand, connected, and increasingly autonomous mobility services. MOBI itself is technology and ledger agnostic.

About Ocean Protocol

Ocean Protocol is a decentralized data exchange protocol to unlock data for AI. Through blockchain technology and smart contracts, Ocean Protocol connects data providers and consumers, allowing data to breathe shared while guaranteeing traceability, transparency, and confidence for everything stakeholders involved. It allows data owners to give value to and occupy control over their data assets without being locked-in to any solitary marketplace. By bringing together decentralized blockchain technology, a data sharing framework, and an ecosystem for data and related services, Ocean Protocol is committed to kick-starting a new Data Economy that touches every solitary person, company and device, giving power back to data owners, enabling people to reap value from data to better their world. Visit to find out more.

About CPChain

Cyber Physical Chain (CPChain) is a new distributed infrastructure for next generation IoT. CPChain intends to build a fundamental data platform for IoT systems in combination with distributed storage, encryption computation and blockchain technologies, providing the whole process solution from data acquisition, storage, sharing to application.  CPChain is a promising solution to a series of challenges of the current "chimney architecture" of IoT systems, reducing connectivity cost of devices, protecting data privacy and maximizing the value of IoT data.

About Tribe Accelerator

Tribe Accelerator, the first Singapore government supported blockchain accelerator, is championing to breathe a neutral platform in driving collaboration and growth of the blockchain ecosystem. Together, these organizations, as an integral section of the censorious growth of the global blockchain community, aim to create a collaborative space to embolden the exchange of ideas on the modernization of the mobility space.

Media Contact: Adria Stauber, Communications | | @dltMOBI

[1 ] [2] [3 ] [4 ] [5 ]

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IBM Raises the Bar for Distributed profound Learning | actual questions and Pass4sure dumps

IBM is announcing today an enhancement to its PowerAI software platform aimed at facilitating the practical scaling of AI models on today’s fastest GPUs. Scaling to 256 GPUs with its new distributed profound learning (DLL) library, IBM reports that it has bested previous records set by Google and Facebook on two well-known image recognition workloads.

“This is one of the bigger breakthroughs I occupy seen in a while in everything of the profound learning industry announcements over the eventual six months,” said Patrick Moorhead, president and principal analyst of Moor Insights & Strategy. “The entertaining section is that it is from IBM, not one of the web giants fancy Google, which means it is available to enterprises from on-prem employ using OpenPower hardware and PowerAI software or even through cloud provider Nimbix.”

The crux of the announcement is a new communication algorithm developed by IBM Research scientists and encapsulated as a communication library, called PowerAI DDL. The library and APIs are available today as a technical preview to Power users as section of the PowerAI version 4.0 release. Other efforts to help multi-node communication occupy tended to focus on only a solitary profound learning framework, so it’s notable that the PowerAI DDL is being integrated into multiple frameworks. Currently TensorFlow, Caffe and Torch are supported with plans to add Chainer.

Customers who don’t occupy their own Power systems can access the new PowerAI software via the Nimbix Power Cloud.

“Like the hyperscalers and great enterprises, Nimbix has been working to build distributed capability into profound learning frameworks and it just so happens that what IBM is announcing is effectively a turnkey software solution that implements that in multiple frameworks,” said Nimbix CEO Steve Hebert.

“This is truly an HPC technology,” he continued. “It’s taking some of the best software components of traditional HPC and marrying those up with AI and profound learning to breathe able to deliver that solution. Their platform is ideally suited for scaling out in the HPC sense, very low latency for codes that Get that linear scaling of problem sizes. That means for profound learning they can start to tackle enterprise-class profound learning problems basically on day one. For this to become available to any company or consumer outside of [the colossal hyperscalers], fancy Google, Baidu, etc., it really democratizes access to everybody.”

The multi-ring communication algorithm within DDL is described (see IBM Research paper) as providing a righteous tradeoff between latency and bandwidth, as well as being adaptable to a variety of network configurations. The complete passage is proprietary but section 4 of the paper provides a fairly particular description of the library and algorithm.

The current PowerAI DDL implementation is based on Spectrum MPI. “MPI provides many needed facilities, from scheduling processes to basic communication primitives, in a portable, efficient and mature software ecosystem” situation the researchers, although they add the “core API can breathe implemented without MPI if desired.”

To evaluate the performance of its new PowerAI Distributed profound Learning library, IBM performed two experiments using a cluster of 64 IBM “Minsky” Power8 SL822LC servers, each equipped with four Nvidia Tesla P100 GPUs connected through Nvidia’s high-speed NVLink interconnect. The systems occupied four racks (16 nodes each), connected via InfiniBand.

IBM reports that the combination of its Power hardware and software offers better communication overhead for the Resnet-50 neural network using Caffe than what Facebook recently achieved with the Caffe2 profound learning software. The IBM Research DDL software achieved an efficiency of 95 percent using Caffe on its 256-GPU Minsky cluster whereas Facebook achieved 89 percent scaling efficiency on a 256 NVIDIA P100 GPU accelerated DGX-1 cluster using the Caffe2 framework. Implementation differences that could influence the comparison, e.g., Caffe versus Caffe2, are discussed in the IBM Research paper.

Scaling results using Caffe with PowerAI DLL to train a ResNet-50 model using the ImageNet-1K data set on 64 Power8 servers that occupy a total of 256 Nvidia P100 GPUs (Source: IBM)

In the second benchmark test, IBM Research reported a new image recognition accuracy of 33.8 percent for a Resnet-101 neural network trained on a very great data set (7.5 million images, section of the ImageNet-22k set). The previous record published by Microsoft in 2014 demonstrated 29.8 percent accuracy.

IBM Research fellow Hillery Hunter observed that a 4 percent extend in accuracy is a colossal leap forward as typical improvements in the past occupy been less than 1 percent.

Further, with IBM’s distributed profound learning approach, the ResNet-101 neural network model was trained in just seven hours, compared to the 10 days it took Microsoft took to train the very model. IBM reported a scaling efficiency of 88 percent.

Sumit Gupta, vice president of AI and HPC within IBM’s Cognitive Systems business unit, believes the increased quicken and accuracy will breathe a huge boon to enterprise clients. “Part of challenge has been if it takes 16 days to train an AI model it’s not really practical,” he said. “You only occupy a few data scientists when you toil in a great enterprise and you really need to beget them productive so bringing down that 16 days to 7 hours makes data scientists much more productive.”

Certain applications are particularly time-constrained. “In security, military, fraud protection, and autonomous vehicles you often only occupy minutes or seconds to train a system to deal with a new exploit or problem but currently it generally takes days,” said market analyst Rob Enderle. “This effectively reduces days to hours, and provides a potential road map to Get to minutes and even seconds.” It’s scenarios fancy these that beget buying Power Systems to quicken profound learning far easier to justify, he added.

The list of employ cases seemingly grows longer by the day. Recommendation engines, credit card fraud detection, mortgage analysis, upsell/cross-sell to retail clients, shopping taste analysis are everything getting a lot of attention from IBM’s customers.

“The giants fancy Microsoft and Google and others who occupy consumer apps, they obviously are getting on the consumer platform a lot of data everything the time. So their employ cases in many cases are very obvious, finding images of dogs in Google photos,” for example, said Gupta. “But they survey enterprise clients occupy lots of data and lots of employ cases they are now getting around to using these methods.”

The next step for IBM researchers is to document scaling beyond 256 GPUs as their current findings testify that is feasible. “We don’t survey a intuition why the passage would slack down when they double the size of the system,” said Gupta.

Alluxio Virtualizes Distributed Storage for Petabyte Scale Computing at In-Memory Speeds | actual questions and Pass4sure dumps

Supported by Alibaba, Baidu, Barclays, IBM, EMC, Intel and Other Industry Leaders, Alluxio Is the Next Major Innovation Out of UC Berkeley's AMPLab

SAN MATEO, CA--(Marketwired - Feb 23, 2016) - Alluxio (formerly known as Tachyon), the world's first memory-centric virtual distributed storage system, today announced its open source version 1.0 release. The vision for Alluxio is to become the de-facto storage unification layer for colossal data and other scale-out application environments in the very manner that Apache Spark became the benchmark computation layer.

Alluxio's memory-centric architecture provides orders of magnitude performance gains over existing solutions and superior manageability by allowing developers to interact with a solitary storage layer API without worrying about the configurations and complexities of underlying storage and file systems. Co-created by Haoyuan Li, CEO of Alluxio, Inc. and a founding committer of Spark, Alluxio ushers in the next generation of storage virtualization for petabyte scale computing.

"A storage unification layer that bridges computation frameworks and underlying storage systems is long overdue in the enterprise," said Haoyuan Li. "Alluxio is that unification layer with a memory-centric architecture. Alluxio enables any framework to access any data, from any storage at remembrance speeds."

Organizations can accelerate any computation framework (e.g. Apache Spark, Apache MapReduce, Presto, etc.) with any storage system (e.g. Amazon S3, EMC, Google Cloud Storage, NetApp) and utilize any storage media (DRAM, SSD, HDD, etc.). As a memory-centric system, Alluxio yields orders of magnitude performance gains and manageability for existing configurations.

Only three years in existence, Alluxio has gained broad industry champion as an open source project. With more than 200 contributors, 12,000 commits, and over 50 commercial organizations, Alluxio has surpassed many other open source projects in the very timeframe. Alluxio runs in production at some of the largest cloud providers for petabyte scale workloads, in pecuniary services to meet government regulations, for research by leading universities, and at technology vendors globally.

Intel recently published its findings on the diverse scope of colossal data storage challenges that Alluxio can address.

"Big data analytics is driving new requirements for distributed remembrance across clusters for real-time streaming, interactive queries, analytics and graph processing," said Michael Greene, Intel vice president, Software and Services Group and universal manager of System Technologies and Optimization. "We are excited to toil with developer communities on Alluxio and to optimize Alluxio solutions on Intel platforms. Ultimately, this helps their customers create more innovative and tall performance cloud and colossal data solutions."

In pecuniary services, Alluxio brings many advantages. It helps banks beget faster and better trading decisions through theatrical performance improvements and furthermore helps answer regulatory requirements. Barclays, the global pecuniary services firm with 48 million customers and clients, recently published a report about how it uses Alluxio to boost colossal data analytics performance without duplicating confidential customer information to disk.

Last summer, IBM Research published a study about using Tachyon for "ultra-fast colossal data processing" to overcome "critical bottlenecks for system workloads."

For some of the world's cloud computing giants, Alluxio is allowing business analysts to determine insights interactively by analyzing petabytes of data in near real-time to help customer experience.

"As one of the largest Internet companies in the world, Baidu constantly faces the challenges of managing data at multi-petabyte scale. By adopting innovative technologies fancy Alluxio they are able to champion their users extract meaningful and useful data almost instantly," said James Peng, Chief Architect at Baidu. "Our deployment of an Alluxio cluster has already reached 1,000 workers, which is one of the largest Alluxio clusters in the world. The tiered storage of Alluxio has provided us considerable flexibility in managing data in large-scale. They are seeing an incurious 10-fold, and up to 30-fold performance improvement in supporting interactive query system and other types of workloads. This greatly improved the quicken in making necessary business decisions."

"As the cloud computing business for Alibaba Group, the world's leading e-commerce business, Alibaba manages many of the world's largest data centers, including the largest colossal data cluster ever built in China," said Wensong Zhang, CTO and Senior Research Fellow of AliCloud, founder of Linux Virtual Server. "With Alluxio combined with AliCloud OSS as well as other AliCloud cloud service products, their customers can leverage the technology trends of hardware to accelerate necessary jobs at the fastest performance. They occupy been contributing to the Alluxio open source community and believe that Alluxio will play a censorious role in the future of colossal data infrastructure."


As a PhD candidate at UC Berkeley, Haoyuan Li saw Spark adoption driving the requirements for more developer-friendly methods for how colossal data frameworks access persistent data at in-memory speeds. Formerly known as Tachyon, the Alluxio system quickly gained prominence in employ cases that required in-memory storage speeds for Spark computation and received early backing from enterprise software and storage leaders, including EMC and Pivotal. Where storage and file systems occupy historically required tall customization and tuning, Alluxio brings a unified interface that's intuitive for developers, easy for operators, and delivers unprecedented speeds for data access to champion the broadest scope of colossal data employ cases such as machine learning, real-time analytics and streaming data.

"As a layer that abstracts away the differences of existing storage systems from the cluster computing frameworks such as Apache Spark and Hadoop MapReduce, Alluxio can enable the rapid evolution of the colossal data storage, similarly to the passage the Internet Protocol (IP) has enabled the evolution of the Internet," said Prof. Ion Stoica, co-author of Spark, co-founder and executive chairman of DataBricks, co-director of UC Berkeley AMPLab and Ph.D. co-advisor to Haoyuan Li.

"AMPLab has created some of the most necessary open source technologies in the new colossal data stack, including Apache Spark," said Michael Franklin, Professor of Computer Science and Director of the AMPLab at UC Berkeley. "Alluxio is the next project with roots in the AMPLab to occupy major impact. They survey it playing a huge disruptive role in the evolution of the storage layer to handle the expanding scope of colossal data employ cases."

To protect the project from potential trademark litigation and to preserve the intellectual property of the open source software community contributions internationally, the community changed the project title from Tachyon to Alluxio. A newly-created non-profit organization, Alluxio Open Foundation, will host the project.

In 2015, Andreessen Horowitz invested $7.5M in Alluxio Inc., which has since assembled a team consisting of the world's leading distributed computing experts from Carnegie Mellon University, Google, Palantir, UC Berkeley AMPLab and VMWare to continue to innovate and realize the vision for Alluxio.

ABOUT ALLUXIO, INC. Alluxio, Inc. was founded by the creators and top contributors of the open source Alluxio project -- the first memory-centric virtual distributed storage system. Alluxio's memory-centric architecture provides orders of magnitudes performance gains and superior manageability by allowing developers to interact with a solitary storage layer API. Alluxio, Inc. is venture-backed by Andreessen Horowitz. For more information, contact

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