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: 72 existent Questions

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Nvidia, Oracle extend Cloud GPU Ties for AI, HPC | killexams.com existent Questions and Pass4sure dumps

Oracle is taking share with Nvidia to convey the GPU chief’s unified AI and HPC platform to the universal public cloud for accelerating analytics and desktop discovering workloads.

The stream makes Oracle the primary public cloud seller to sheperd Nvidia’s HGX-2 platform, the partners stated this week. The Oracle cloud will abet both bare-metallic and virtual computer cases of the HGX-2, which is designed to “multi-precision computing,” double and single-precision floating aspect for redress HPC, and decreased precision (FP16 and INT8) for AI.  Nvidia’s NVSwitch interconnect with NVLink know-how offers 300 GB/sec of GPU-to-GPU bandwidth to in the reduction of the information bottlenecks encountered with HPC and profound getting to know workloads.

The partners talked about Wednesday (Oct. 10) their collaboration addresses turning out to breathe claim for cloud-based mostly GPU acceleration in records analytics as well as profound and desktop gaining erudition of applications. “other than enabling HPC and AI workloads, we’re concentrated on information science and analytics as an immense enviornment of investment,” Karan Batta, an Oracle product supervisor, referred to in a blog post.

The increased collaboration with Nvidia for cloud-based mostly GPU acceleration underscores Oracle’s strategy of stirring from a database dealer to a participant in the cutthroat public cloud market. much of the emphasis has been unique platform and infrastructure functions along with computerized capabilities akin to “self-using” cloud database carrier unveiled in August. Batta renowned that these and different services target facts science teams, enabling them to travail collaboratively on huge data initiatives.

Oracle prior to now supported Nvidia’s Pascal GPU architecture cloud circumstances and, extra recently, provided naked-metallic circumstances of its Tesla V100 Tensor Core GPUs. those chips were used to accelerate profound researching workloads.

along with abet for the HGX-2 platform, Oracle stated its unique cloud instances additionally can breathe backed through as much as 48 cores of Intel Xeon processors (working at three.5 GHz with rapid increase). the brand unique instances should breathe purchasable in early 2019, the cloud vendor stated, noting it additionally had plans to offer a 16-manner example in the future.

The collaboration is the latest pains through Oracle to differentiate its cloud choices from public cloud leader Amazon internet capabilities, Microsoft Azure and Google Cloud. The partnership furthermore reflects Nvidia’s shove into high-end statistics analytics via its simply-announced RAPIDS platform, which Oracle is furthermore supporting.

RAPIDS is a collection of application libraries for operating facts science and analytics pipelines completely on GPUs. The open supply libraries are intended to leverage GPU parallel processing and excessive-band reminiscence by course of the Python programing language. among the many makes utilize of is accelerating desktop studying training whereas improving model accuracy.

RAPIDS will breathe obtainable this week on Oracle’s cloud infrastructure by the utilize of Nvidia’s GPU cloud service.

Oracle furthermore introduced aid for Nvidia’s GPU cloud container registry that enables cloud clients to set up container purposes and frameworks on Oracle’s GPU-accelerated cloud circumstances. those cases are available in diverse areas in the U.S. and Europe.


Kinetica could enhance NVidia In $70B massive facts Market | killexams.com existent Questions and Pass4sure dumps

SAN FRANCISCO, CA JUNE 23, 2018: Orange nVidia emblem on balloon in an city environment

just because you delivery an organization and raise tens of hundreds of thousands of greenbacks to gasoline it breathe growth, there's no assure you Enjoy what it takes to build a astronomical enterprise.

in fact, some 60% of founders attain not live to divulge the tale their collection D circular of project funding.

This involves intellect in in view that San Francisco-based database corporation, Kinetica. founded in 2009, Kinetica raised $50 million in June 2017 -- bringing its complete funding to $63 million. Six months later, Kinetica's board changed its cofounder and CEO -- Amit Vij -- with Paul Appleby, an experienced revenue government.

Kinetica -- which looks completely fortunate with its tackle "the perception engine for the intense facts fiscal system" -- says that its know-how "combines simulated intelligence and desktop learning, facts visualization and placement-primarily based analytics, and the accelerated computing energy of a GPU [Graphical Processing Units made by the likes of Nvidia to flee video games] database."

effortlessly put, Kinetica joins different companies -- similar to MapD, about which I wrote in July and lately modified its identify to OmniSci -- that establish the GPU on the core of their technology rather than the CPU [central processing unit] that powers accustomed databases. Given the demand for quick graphical divulge of information analysis, the GPU-based mostly technologies Enjoy to Enjoy an audience beyond video game enthusiasts and animation enthusiasts.

To its credit, Kinetica has developed relationships with businesses and expertise companions to deliver this conception to existence. Kinetica seeks consumers from industries including healthcare, energy, telecommunications, retail, and economic features. And its know-how and advertising and marketing partners consist of NVIDIA, Dell, HP, and IBM.

Kinetica competes with Microsoft, Oracle and IBM which give accustomed databases.

I attain not suppose Kinetica should silent breathe concerned these competitors on account that the startup is so small. but due to the fact Kinetica and OmniSci -- which counts the chipmaker as an investor -- are the utilize of the NVidia GPU -- peculiarly the Tesla and DGX for AI, information scientists and astronomical information researchers; and GRID for cloud-based visible computing users, according to its latest quarterly document -- their success may silent breathe effectual for NVidia investors.

(I haven't any fiscal pastime in the securities outlined).

The brains at the back of Kinetica are Vij and his Kinetica co-founder Nima Negahban. As Fortune wrote, "They worked at the u.s. military Intelligence and safety Command and the countrywide security company creating a device to track and trap terrorists in real-time. The U.S. Postal provider has used Kinetica in view that 2014 in a gadget that optimizes routes and tracks programs."

Vij misplaced the redress spot at Kinetica to Appleby in December 2017. The enterprise changed into attempting to find "income momentum" and in Appleby -- who had most recently served as president, global sales and advertising, at BMC application (and in the past as an government at Salesforce, C3 IoT, and Siebel programs) -- Kinetica director, Ray Lane, appeared to believe he vigorous the bill.

As Lane renowned remaining December,

2017 has been a breakout year for Kinetica, doubling headcount whereas it onboards and grows unique consumers and partners totality over.  there is appreciable claim these days for Kinetica’s precipitate and capabilities produced with the aid of its native GPU-accelerated, in-reminiscence architecture.  Paul acknowledges the strategic nature of the commerce records challenges Fortune 2000 companies face, and the course Kinetica can precipitate up precise-time insights from any records sources, regardless of volume, pace and constitution.  Paul’s confirmed journey main international enlarge teams, plus the constrain to retract Kinetica to the next stage, makes him a divorce alternative for Kinetica.

Appleby has delivered growth -- but isn't yet profitable. As he referred to in a September 16 interview, "initially of the 12 months they had 70 to 80 americans and now they Enjoy a hundred and ten. in the first half of 2018, they grew bookings 156% and the number of web unique customers via one hundred ninety%. a significant variety of their latest valued clientele are expanding their relationship with Kinetica. They could grow [with a scalable commerce model]."

To gain Kinetica to the next stage, Appleby renowned the commerce is equipped by feature. "We’re an innovation-pushed company, and the vast majority of their personnel, two-thirds of the company, are engineering and innovation-focused. just about half of their personnel are primarily based out of their Arlington, Virginia engineering office. Their admin, finance, individuals, and advertising features are San Francisco-based mostly, and their earnings crew is distributed across Europe, Asia, and the U.S.," he pointed out.

Appleby believes that totality and sundry who works with a company -- including its management, employees, and companions -- should silent breathe "aligned to a common set of strategic dreams and goals. As such, developing an environment where totality parties believe possession of the commerce mode and alignment to it truly is the exact priority. Their objectives span product, ecosystem, client success, and tradition. They utilize them to formulate their personnel' MBOs [Management by Objectives], and to e-book their company course holistically."

He chairs Kinetica's executive leadership group (ELT) which includes executives from its "product construction, client success, revenue, advertising, and finance [functions]. ELT meets continuously to plot, track, and execute on their key objectives. each member of the crew has specific dashboards that map to key metrics that measure development in opposition t their aims."

Kinetica holds totality and sundry dependable for effects. "On a quarterly foundation, their government group determines key effects they want to obtain, in response to their strategic objectives. These leaders then meet with their groups and examine MBOs for each employee that advocate us meet those pursuits. The MBOs trade each quarter, however they are totality the time formulated to fulfill their strategic dreams," Appleby informed me.

every person in the commerce knows how their success can breathe measured. As he mentioned, "We link metrics and targets by using following the objectives & Key consequences (OKR) model used with the aid of facebook, Amazon and Salesforce. The metrics, or key outcomes, are in location, at company, departmental and particular person ranges to gauge development. every worker has a selected set of measurable, quarterly MBOs that act because the metrics to music progress in opposition t their company ambitions."

Kinetica's MBOs issue tons more selected and measurable than its desires/goals which are putative to inspire. for instance, Appleby observed one of the crucial company's pursuits is "change the realm by using helping companies innovate and transform in the establish up-massive information world."

Two MBOs associated with that purpose appear to power individuals to discovering decent income leads and reaching exorbitant client retention. the first MBO is "establish the number of companies that are tackling unique initiatives. This gives us an illustration that groups can utilize their technology to drive their enterprise ahead as they enter the extreme records fiscal system."

The 2nd is to achieve "excessive consumer retention quotes [which] provide us a mode to exhibit we’re delivering cost and are vital to their valued clientele’ enterprise," he mentioned.

With Kinetica and OmniSci becoming abruptly, claim for NVidia chips may grow as smartly. In its second quarter, NVidia enjoyed seventy seven% boom in its so-known as Datacenter profits, which protected Tesla, GRID and DGX, in accordance with its 10Q.

It continues to breathe to breathe seen even if that might breathe enough to propel its stock.


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After spending time at a London fintech accelerator last year, enterprise database startup ZeroDB scrapped its first commerce diagram and mapped out a unique one. By January this year it had a unique name: NuCypher. It was no longer going to try to persuade enterprises to switch out their Oracle databases — but rather to sell them on a specialized encryption layer to enhance their capacity to fulfill astronomical data analytics by tapping into the cloud. Its slogan: cadaver armor for astronomical data.

Today it’s launching an open source version of its universal release product here at TechCrunch Disrupt unique York. At this point, the almost 1.5-year-old startup is furthermore running a handful of pilots with major banks, says co-founder MacLane Wilkison.

“It’s a combination of cloud and astronomical data,” he says of the underlying drivers which the team reckons are creating a necessity for the technology. “Now totality of a sudden you’re working in computing environments that are distributed across hundreds or thousands of machines, and that could breathe spanning both some on-prem, some private and even public cloud. And that sort of scenario presents a lot of unique and different security challenges.”

Instead of building an open source end-to-end encrypted database, NuCypher is selling a proxy re-encryption platform for corporates with large amounts of sensitive data stored in encrypted databases to let them securely tap into the power of cloud computing. An concept that might necessity a bit of explaining to appreciate, but one that’s grounded in a genuine need — at least based on what NuCypher’s early banking partners are telling it.

On the competitors front Wilkison names the likes of HP-owned Voltage and Protegrity as the largest existing players in the space. Albeit, he says they’re both doing tokenization of data, whereas NuCypher reckons proxy re-encryption technology offers greater security for certain types of data.

Unlike some other approaches to processing astronomical data in the cloud, he emphasizes that NuCypher is not using tokenization to mask any data — arguing this is necessary for the target customers because certain types of data when masked with tokens can breathe vulnerable to statistical attacks.

While proxy re-encryption is an existing area of cryptography, applying it to astronomical data is what’s novel here, according to Wilkison, who says the tech has mostly been used in academia thus far. “We’re the only people that applied it to astronomical data platforms devotion Hadoop and Spark,” he says. “As far as I know we’re the only one using proxy re-encryption in business.”

So while the team’s early ideas focused mostly on looking at data archiving and encryption to enable banks to construct utilize of cloud storage, he says the business was pulled onto its current rails after banks asked if they could apply the encryption tech the team had been edifice for data archiving to astronomical data cloud processing.

Safe to say, this mini pivot is a confidential memoir for enterprise startups — after all, who knows better the business needs than the target customers?

“When they originally started the company, my co-founder and I had built an open-source database and then an encrypted database that allows you to operate unencrypted data without sharing encryption keys with the database server… What the banks were particularly interested in was taking some of what they had built for that and applying it to more compute-heavy nature of workloads,” says Wilkison.

“After a era of talking to customers… they took some of what they had built for that and made it into a more generalized encryption layer for different platforms — specifically for the astronomical data space. So Hadoop, Kafka and Spark.”

So what is proxy re-encryption — aka NuCypher’s “secret sauce,” as Wilkison puts it — and why is the technique useful for banks?

“Proxy re-encryption is a set of encryption algorithms that allow you to transform encrypted data. Specifically… it allows you to re-encrypt data — so you Enjoy data that’s encrypted under one set of keys, you can re-encrypt the data without de-encrypting it first, so that now it’s encrypted under a second, different set of keys,” is how Wilkison explains it.

He gives the example of a person who has some encrypted files stored in Dropbox. If they want to share the files with someone else that could breathe achieved by downloading them, decrypting them with their key and then re-encrypting them with the public key of the person they want to share with. But obviously — at scale — that’s a pretty network-intensive and cumbersome process.

Even more naively, this person could just share their private encryption key with the person they want to share the file with. But then they’re abandoning totality control of their security.

Clearly neither scenario is model for NuCypher’s target customers — with their vast lakes of sensitive, highly regulated data. This is where NuCypher reckons proxy re-encryption can step in to tender an edge.

“What I can attain with proxy re-encryption that’s much more elegant and secure than either of those alternatives is I can basically delegate access to my encrypted data to someone else’s public key,” he adds.

The platform creates a re-encryption token off of the public key of the entity with whom its customers wants to share data. That token can then breathe uploaded to the cloud where the third party can access it — in whirl enabling them to decrypt and access the data.

Wilkison says re-encrypted tokens can breathe created and used to delegate access to “as many people as I like.”

Ensuring compliance with regulations around the processing of sensitive data — data such as a bank or healthcare company might hold — is one key selling point for the platform.

He points to a regulation devotion HIPAA, which sets standards for protecting healthcare data, as one example where a lot of custody is needed when handling data to ensure compliance. He furthermore flags up the European Union’s incoming GDPR (General Data Protection Regulation), which ramps up penalties for violations of rules on processing citizens’ personal data, as another instance of data-centric laws creating data processing pain-points that NuCypher’s platform is setting out to fix.

Other target data-laden industries could include telecoms and insurance, though the team has kicked-off focusing on fiscal services, and the current pilot phase of the platform is with “major banks.”

Wilkison says there are essentially three main use-cases for the platform:

  • “cloud enablement” — so giving target customers a course to traipse their on-premise Hadoop astronomical data workloads to the public cloud and construct utilize of services like AWS, particularly for “burst or fleeting workloads.” “What they attain there is give them a course to maintain their encryption keys in their own data centers, under their control so they can utilize the pulp to store and process data but they don’t necessarily Enjoy to faith the pulp with their encryption keys,” he adds.
  • “regulatory compliance” — currently NuCypher is working with customers in the U.S. and Europe needing to comply with regulations such as HIPAA, PCI, GDPR and PSD2.
  • “secure sharing of sensitive encrypted data” — with multiple third parties, be it a customer, partner, supplier or even a regulator. On this he furthermore notes one of the benefits is that the system segregates the data and the encryption keys — which means, for example, a regulator could not subpoena the cloud provider in order to gain their hands on the decrypted data.”It’s very important, particularly in fiscal services, for customers to Enjoy that segmentation between the data and the keys,” he adds.
  • Another profit he notes is that NuCypher’s proxy re-encryption technology enables it to give customers the capacity to manage access controls without needing to provide complete access to the data — which means it can remove any separate point of failure (i.e. via an admin who has to Enjoy complete access control to totality of the data).

    “With NuCypher a hacker would Enjoy to hack into each node individually in order to gain totality the data,” he adds.

    Given the complexities of the technology, customer education is clearly one of the astronomical challenges, with Wilkison saw this boils down to explaining how the approach differs from yardstick encryption.

    And on that front, he says one selling point for the platform is that the proxy re-encryption tech works with NIST standardized encryption algorithms. Which means NuCypher customers don’t Enjoy to abandon the tried and tested encryption algorithms they’re restful using, such as AES-256, in order to construct utilize of the tech.

    “That was one of the pieces that they added that took a pretty significant amount of research to develop for us — to gain proxy re-encryption to travail with things like ECIES, which is a yardstick elliptic curve, NIST-certified,” he notes. “So they can travel to a customer and say, everything that we’re doing on a crypto smooth is very standardized, very well understood by industry. So they’re not having to reckon on newly rolled crypto.”

    NuCypher’s platform exists as an SDK and an encryption library, so its commerce model is licensing the software — it’s not hosting any data itself, confirms Wilkison; customers can install the software on premise, such as within an existing Hadoop deployment, or directly in the cloud on the infrastructure they’re managing.

    Funding-wise, the team has raised a $750,000 seed round to date, from Valley investors including foundation Ventures, NewGen Capital and some angels. It furthermore went through Y Combinator eventual summer. Wilkison says it will breathe looking to raise again in Q3 this year.

    How astronomical attain they reckon this market is? Wilkison says he’s hoping the current six to seven pilot customers of NuCypher will whirl into “high double digit” or maybe “low triple digits” in a year’s time. But with those target large enterprises typically spending vast amounts of money on securely storing the sensitive data they’re entrusted with, there’s furthermore a very sizeable incentive for them to shift some of that compute load into the cloud. And, potentially, a lot of money at stake if NuCypher can convince them to buy in.

    [gallery ids="1490532,1490543,1490542,1490539,1490537,1490533"]

    Judges mp;A

    Q: Can you talk a bit more about how far along you are with some of the early clients?A: We’re in pilot stage prerogative now. The bulk of their early customers are in fiscal services. We’re starting to gain traction in healthcare and telcos as well. Pilot phase at this stage.

    Q: divulge me a bit more on the competitionA: There’s a brace of ways to perceive at this. One: the platforms that they advocate attain Enjoy some native data protection built in. So Hadoop for example. These minister not to breathe robust enough for the types of enterprise customers that we’re working with. Other alternatives include data masking and tokenization. HP Voltage for example.

    Q: You worked before at Morgan Stanley. Why did you leave a steady job with nice salary and Wall Street and went into this benign of adventure?A: Ultimately I wanted to gain back to a more technical role, and actually start edifice a product in a company again – as opposed to edifice fiscal models and pitch decks

    Q: And this is the actually launching of the product?A: We’re launching the open source version. We’ve had Hadoop available for a while. And then Kafka is launching as well

    Q: What did your mother yell when you told her that you were leaving Morgan Stanley for this adventure?A: She was supportive. Although maybe didn’t quite understand what they were doing

    Q: Can you divulge me more about the implementation? What does it perceive devotion as you deploy to enterprise – how attain you gain totality of their existing data encrypted and how attain you attain key management?A: On the key management side they actually integrate with hardware security modules – so at lots of banks they utilize HSM from vendors devotion Thales or SafeNet.

    For Hadoop they encrypt at the HFS layer. And everything is transparent to applications running on top of Hadoop, so it doesn’t change the experience for someone running Hive queries for example.

    And they furthermore integrate with access control tools devotion Ranger and Sentry. So people can maintain using the yardstick tools that they use.

    Q: Is your commerce a classic SaaS model?A: We’re not hosting anything. It’s not software as a service. They Enjoy term-based subscriptions, and then furthermore a consumption-based model for cloud deployments.

    Q: How attain you intend to travel to market? Sales force? direct sales?A: Some combination of direct sales, which we’ve done today, and then furthermore the channel partners and astronomical data vendors… and the cloud service providers as well, folks devotion Amazon and Microsoft.

    Q: Who are your main competitors?A: The data masking and tokenization companies are the one they flee into most regularly. Voltage which is now share of HP. In Europe they espy a company called Protegrity pretty frequently. And then as I mentioned before a lot of the underlying platforms will Enjoy some sort of protection tools natively.

    Q: attain you flee into people devotion Ciphercloud or Ionic?A: Not so much anymore. We’re similar in some ways to them… we’re more focused on infrastructure devotion Hadoop and data platforms

    Q: How many people are you now?A: We’re the two founders and then seven people total on the team

    Q: And how much money did you raise?A: We’ve raised $750K so far from Y Combinator, NewGen Capital and foundation Ventures

    Q: How long ago?A: eventual fall

    Q: How difficult would it breathe for your competitors to replicate the travail that you’ve done?A: Certainly it’s a lot easier now that it’s open source… That said they attain Enjoy an open core approach so they Enjoy certain enterprise features that are silent proprietary that are only available in the enterprise version. Additionally if the Hadoop vendors integrated what we’re doing natively into Hadoop that’s silent just for Hadoop.

    So NuCypher’s meant to breathe layered, it sits across totality of the organization’s astronomical data platforms. prerogative now they’ve utilize Hadoop, Kafka, Spark. In the future that could include some unique SQL databases, and potentially structured databases as well

    Q: Judging from your experience with your colleague how attain you compare the American smooth of mathematics and physics to the Russian one?A: The American approach is lacking. I’m hugely impressed. Not only is my co-founder Russian educated, and Russian born, a lot of their engineers are as well, so we’ve been very fortunate in that regard


    Transaction Processing Performance Council (TPC) Launches TPCx-HS Version 2 – Augmenting Its Arsenal of astronomical Data Benchmarks – and Introduces Pricing Specification for Cloud ... | killexams.com existent questions and Pass4sure dumps

    SAN FRANCISCO--(BUSINESS WIRE)--Today the Transaction Processing Performance Council (TPC) announced the immediate availability of TPCx-HS Version 2, extending the original benchmark’s scope to include the Spark execution framework and cloud services.

    The original TPCx-HS benchmark was the industry’s first objective specification enabling measurement of both hardware and software including Hadoop Runtime™, Hadoop Filesystem API compatible systems and MapReduce layers. TPCx-HS Version 2 is designed to broaden the ambit of system topologies and implementation methodologies in a technically rigorous, directly comparable and vendor-neutral manner. TPCx-HS Version 2 models continuous system availability 24 hours a day, seven days a week and – as an “Express” class benchmark – is publicly available for download via the TPC’s Web site at the following URL: www.tpc.org/tpcx-hs.

    “Enterprise investment in astronomical Data analytics tools is growing exponentially, to maintain pace with the rapid expansion of datasets,” said Tariq Magdon-Ismail, chairman of the TPCx-HS committee and staff engineer at VMware. “This is leading to an explosion in unique hardware and software solutions for collecting and analyzing data. So there is gargantuan claim for robust, industry yardstick benchmarks to enable direct comparison of disparate astronomical Data systems across both hardware and software stacks, either on-premise or in the cloud. TPCx-HS Version 2 significantly enhances the original benchmark’s scope, and based on industry feedback, they anticipate immediate widespread interest.”

    TPCx-HS Version 2 was developed as researchers and industry experts identified astronomical Data as a priority area for further benchmark development during the 2016 TPC Technology Conference on Performance Evaluation and Benchmarking (TPCTC). This year’s TPCTC conference will breathe held in Munich, Germany on August 28, co-located with VLDB 2017. Individuals who wish to contribute to the benchmark development process are encouraged to submit abstracts via the following URL: http://www.tpc.org/tpctc/tpctc2017/default.asp

    Organizations interested in contributing to the TPC’s benchmark development process are encouraged to become members. Additional information is available via the following URL: http://www.tpc.org/information/about/join.asp.

    Updated Pricing Specification

    TPC benchmarks are unique in that they provide the industry with verifiable performance, price-performance and availability metrics. Considering the emergence of cloud deployments, the TPC pricing specification has been updated to accommodate executing benchmarks in cloud environments. The unique specification is available via the following URL: http://www.tpc.org/tpc_documents_current_versions/current_specifications.asp.

    About the TPC

    The TPC is a non-profit corporation founded to define transaction processing and database benchmarks and to disseminate objective, verifiable TPC performance data to the industry. The TPC currently has 21 complete members: Actian, Cisco, Dell, DataCore Software, Fujitsu, Hewlett Packard Enterprise, Hitachi, Huawei, IBM, Inspur, Intel, Lenovo, Microsoft, Nutanix, Oracle, Pivotal, Red Hat, SAP, Teradata, TTA and VMware; and three associate members: China Academy of Information and Communications Technology (CAICT), Ideas International, and the University of Coimbra. Further information is available at http://www.tpc.org.



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