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Jokowi Officiates Cyber and Encryption Agency – Tempo.co

TEMPO.CO, Jakarta - President Joko Widodo, or Jokowi, ratified a presidential decree on the establishment ofthe Cyber and National Encryption Agency (BSSN). The government is currently focusing on preparing the entire transitional process of the newly built state agency.

Its been ratified. Were now focusing on a quick transition, said Communication and Informatics Minister Rudiantara on Thursday, June 1.

The BSSN will be led by a head leader, main secretary, and several deputies. It will also have an inspectorate as the internal supervisor for the creation of technical regulations, auditory, and work evaluations.

The Head of BSSN will later have toreport to the Political, Legal, and Security Affairs Minister, Wiranto. The representatives from the State Cipher Agency from the Communication and Informatics Ministryand other related state agencieswill also join in the institution.

The plans to establish BSSN had been predicted following the recent global scale WannaCry malware attack. According to Rudiantara, the formation had been planned since 2015.

BSSN will monitor social media activities, suppress the spread of anti-State ideologies, which includes hoax and fake news spreaders.

ARKHELAUS W

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The Bitcoin Bubble: Deciphering Digital Currency46:23 – WBUR

wbur

With guest host Sacha Pfeiffer.

The skyrocketing price of Bitcoin, and the appeal of alternative currencies.

If you bought a thousand dollars worth of Bitcoin in 2010, youd be a multimillionaire today. Alternative digital currencies like Bitcoin were once on the fringe of finance. But theyre gradually gaining acceptance. Theres also Litecoin, Ethereum, Zcash, and others. So-called cryptocurrency has been associated with online crime, but its being embraced by some major retailers and investment firms. This hour On Point: the appeal of alternative currencies. --Sacha Pfeiffer

Paul Vigna, author of "The Age of Cryptocurrency: How Bitcoin and the Blockchain Are Challenging the Global Economic Order." Reporter for the Wall Street Journal, editor of the Journals MoneyBeat blog. (@paulvigna)

Felix Salmon, senior editor at Fusion. (@felixsalmon)

Ben Lee, digital cryptocurrency enthusiast.CEO and co-founder of the mobile app development company Neon Roots. (@BenLeeNR)

Wall Street Journal:Why Bitcoin Is Surging, Again, Up 130% This Year "Bitcoin traded above $2,200 on Monday, according to the news and research website CoinDesk. That was up about 9% on the day and more than 15% from Fridays closing price of $1,913, which itself was a fresh high. Bitcoin is up more than 130% this year alone, and about 397% from one year ago."

Felix Salmon:The Bitcoin Bubble and the Future of Currency "There are a couple of reasons why the bubble is sure to burst. The first is just that its a bubble, and any chart which looks like the one at the top of this post is bound to end in tears at some point. But theres a deeper reason, toowhich is that bitcoins are an uncomfortable combination of commodity and currency. The commodity value of bitcoins is rooted in their currency value, but the more of a commodity they become, the less useful they are as a currency."

Forbes:The Rise And Fall Of Bitcoin (And The New Kid On The Blockchain) "Nobody is denying that bitcoin was disruptive. It was the first cryptocurrency of its time and has made a humongous splash and thats putting it lightly. Every super-government tried to shut it down and none of them could. J.P. Morgan tried to file patents for the exact technology of bitcoin and failed. Bitcoin is (or was) the cool kid at school that everyone wanted to be friends with but no one was sure how to ask for their number."

This program aired on June 1, 2017.

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Bitcoin Goes Berserk – Seeking Alpha

The price of Bitcoin is up 19% since I wrote about cryptocurrencies just two days ago. In two days! Oh wait, no it isn't. It's just fallen 11% in the past couple of hours. This is classic bubble stuff, meaning the price could skyrocket further or collapse in the blink of an eye. Whether or not you own Bitcoin, today I have some ideas about what to do now.

Bitcoin's price was $2,250 (US dollars) when I wrote on Tuesday (see here). When I looked a couple of hours ago it was $2,685. At the time of writing it's $2,396, down 11% from the earlier reading. At your time of reading it could be anywhere.

The world of cryptocurrencies is back in full hype and bubble mode. Wences Casares, the CEO of bitcoin wallet Xapo and a member of the PayPal (NASDAQ:PYPL) board, is reported to have said the Bitcoin price will go to $1 million in the next five to ten years.

Later on I'll come back to whether this suspiciously round, attention grabbing and huge number makes any sense. For now let's just accept that there's plenty of hype and nonsense floating around.

This seems like an apt time to bring out a famous chart of the stages in a speculative bubble. It was produced by Dr. Jean-Paul Rodrigue at the Hofstra University in New York many moons ago.

Bitcoin and other cryptos look like they're somewhere in the mania phase at the momentin Bitcoin's case it's the third time already since it was sparked into existence in October 2008. But each time dizzying delusion was followed by depths of despair it turned out to be temporary. Higher lows and higher highs followedat least so far.

Of course, Bitcoin was something genuinely brand new when it appeared. It's money, but not as we knew it. So the people involved were and are a different crowd to past manias. Still human though, and hence still prone to the same human foibles and vices.

Who's blowing the bitcoin bubbles?

In this case the "smart money" in the chart's stealth phase was a ragtag group of tech savvy anarchists and anti-banksters. Likewise the "institutional investors" don't feature in Bitcoin world. Instead they're replaced by fringe financiers, the odd venture capitalist, and libertarian leaning technophiles.

As for the "public", forget about it. Yes, there are more and more individuals buying cryptos, but they're still a tiny minority. At least in relation to, say, the mania around dot com stocks in the late '90s. But during each Bitcoin boom and bust cycle more people in more countries are drawn in. At least so far.

Here's what they looked like:

It seems pretty clear that Bitcoin is once again in the mania phase of the cycle. But where exactly in the mania phase? I'm guessing "Greed", "Delusion" or "New Paradigm".

But it's hard to know how far we are from the tipping point. In the coming days and weeks, the price could rocket to $4,000, or $6,000, or $10,000. Or it could sink over coming weeks and months to $1,500$1,200$800.

Nobody - and I mean nobody - knows what happens next. No self-proclaimed guru. No independent analyst. No hopeful speculator. No regretful latecomer to the party. Not you. Not me. Nobody.

But that doesn't stop more and more outlandish claims and self-interested hype. Like Seor Casares (he's Argentine) and his outlandish claim that the Bitcoin price should hit $1 million in five to ten years.

Million dollar Bitcoinreally?

Of course he could be right. But I'm going to have a stab at seeing whether it's likely, using nothing but common sense. Here goes

Currently there are 16.3 million Bitcoins, and I estimate this will reach around 19 million in five year's time. The growth rate slows down as the ultimate limit of 21 million approaches.

If a single Bitcoin is worth $1 million then all Bitcoin would be worth $19 trillion. In the past article I showed that Bitcoin was 46% of the total value of all cryptocurrencies, which in total were worth $80.3 billion.

On the (perhaps generous) assumption that Bitcoin maintains its market share, in the face of unlimited crypto competition, that implies the total crypto market would be worth $41.3 trillion when Bitcoin is priced at $1 million.

According to estimates by Credit Suisse, total global household wealth was $256 trillion in 2016, of which $157 trillion was financial assets. Wealth has grown at an average 5% a year since 2000. Assuming that growth rate continues, total household financial assets would be around $200 trillion in five year's time.

Financial assets include bank deposits (and a little physical cash), stocks, bonds, investment funds, precious metals and so on. For Bitcoin and other cryptos ("Altcoins") to take off they basically have to replace a large piece of bank deposits.

A necessary condition of anyone getting involved with cryptos is that they have internet access. Even today around half of the world's population is offline completely. And many of those supposedly online don't have regular and easy access, so perhaps the true percentage of people with regular and easy internet access is only 35-40%. It keeps growing, but still has a long way to go.

Of course most of those without access are poor, meaning they control little wealth. The combined household wealth of North America, Europe and Asia Pacific is 85% of the total. Strip out the poorer parts of Asia and let's say cryptos' potential market consists of people that control roughly 75% of global wealth.

That indicates $150 trillion of relevant financial assets in five year's time (75% of $200 trillion). Americans have just under 20% of their financial assets in deposits, Europeans just over 40%. Add in wealthy countries from Asia Pacific, in particular Japan, and let's say 35% of those financial assets are bank deposits. That comes to $52.5 trillion.

In other words, if the Bitcoin price hits $1 million then all Bitcoins would be equivalent to 36% of the bank deposits of people with the internet ($19 trillion divided by $52.5 trillion). And if Bitcoin has the same market share of all cryptos at that time as it has now, then all cryptos would be equivalent to 79% of those bank deposits ($41.3 trillion divided by $52.5 trillion).

My numbers are just rough estimates. Even so, looked at this way it becomes pretty clear that $1 million Bitcoin is a fantasy. Like me becoming an astronaut at the age of 45 and both coming from and living in a country with no space programme.

A couple of days ago all 16.3 million current Bitcoins were worth $37 billion. Making the same assumptions as above, current bank deposits of people with internet access would be $41.2 trillion.

That means Bitcoin is equivalent to about 0.09% of potentially convertible household deposits. Put another way, that deposit base is about 1,100 times bigger than the value of all Bitcoins.

What if, in five years, it gets to 1%, or 1-in-100? Which is to say 11 times its market share of relevant household deposits today? That would be $525 billion, split across those 19 million projected future Bitcoins, giving a price close to $28,000.

That's still over 11 times today's price, but it's a hell of a long way from $1 million. It's also not a prediction. I'm just trying to show a more realistic potential level. But don't forget that Bitcoin faces plenty of new competition, most recently from Ripple and Ethereum.

Where does it go from here?

Personally I don't think that cryptocurrencies will replace fiat currencies in a meaningful way. At least not for a very, very long time. Instead, governments and banks will come up with ways to use cryptos' blockchain technology - the wizardry that makes it all function - to improve fiat currency transaction infrastructure.

That said cryptos will probably have a larger niche than today. But my guess is it will still be a niche, and life will be viciously competitive within that niche. Picking winners and losers will be hard, and the ride will be wildly volatile.

In these bubbly times, here's what I recommend you should do today, depending on your situation:

One final thing. The whole crypto world is a prime location for fraudsters. Crooks swarm towards bubbly markets and the prospect of easy money like flies to doo doo. Always have. Always will. It's even easier to get away with when you can wrap everything up in high falutin' techno babble.

Most crypto websites are packed with serious sounding jargon, ideological fluffiness, pretty pictures and general hype. But a great many provide no or few details of who's involved or where they are in the world. They just hover in the internet ether.

When the greedy humans behind some of them run off with their customers' money, as has happened already and is bound to happen again, there will be little recourse. As with all things, caveat emptor ("buyer beware").

As Bitcoin and the other cryptocurrencies go berserk make sure you ignore the more outlandish claims made by their cheerleaders. Even so there's still a good chance many prices rise substantially in future, even if there's a crash in between. View all cryptos as speculation and good luck if you choose to get involved.

Editor's Note: This article covers one or more stocks trading at less than $1 per share and/or with less than a $100 million market cap. Please be aware of the risks associated with these stocks.

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How to Buy Your First Cryptocurrency Coins (Ethereum, Bitcoin, Litecoin, and Ripple) – Inc.com

Cryptocurrency (digital currency) is taking off this year. New millionaires are being made almost daily as Ethereum, Bitcoin, Litecoin, Ripple, Stratis, and other cryptocurrencies reach all-time highs. It is becoming somewhat of a modern-day gold rush.

As I write this, Bitcoin's "market cap" is $37 billion, with a value of $2,281 per Bitcoin. For a coin that was once worth only pennies, Bitcoin investors have made serious money in the past few years.

Bitcoin might be the oldest, but it's not the only cryptocurrency on the block. In fact, the majority of people getting into cryptocurrency are flocking to Ethereum. Ethereum has had the most impressive gains this year after recently being the first cryptocurrency to be backed by major corporations such as Microsoft, Samsung, JPMorgan Chase, and others in what's being called the Enterprise Ethereum Alliance. Ethereum does for code and programming what Bitcoin did for financial transactions. For simplicity's sake, think of Ethereum like a more advanced and sophisticated Bitcoin backed and utilized by major corporations because of its technological advances and clear pathway to building a decentralized internet.

One Ether (Ethereum's crypto token) was worth as little as $12 earlier this year, but the cryptocurrency is now worth $228 per coin with a total market cap of $21 billion. Ethereum is slowly but surely making gains on Bitcoin's market cap. Many spectators believe that "the flippening" will happen sometime this year, in which Ethereum becomes the most valuable (market cap) cryptocurrency in the world, overtaking Bitcoin in total value (total number of coins times price per coin).

Ethereum isn't the only new coin on the block, but it is definitely the most promising. Others to watch that I will explain and write about in future articles include Ripple, Litecoin, Statis, and Siacoin. All these coins have something unique and technologically innovative about them.

Buying cryptocurrency is confusing for a lot of people. It's not a stock or a typical "investment." It's not like anything most people have ever seen or experienced. You don't get shares; instead you get digital coins or tokens. The coins are "better" than a paper dollar bill because they actually support a greater cause, as in Ethereum's case, to build a decentralized internet and host code and apps on a decentralized platform. And coins help "fuel" that cause, so to speak, without getting technical.

For most people in the U.S., Coinbase would be the easiest option to buy Ethereum, Bitcoin, or Litecoin (it doesn't support any others yet). After verifying your account, you can add a number of payment methods including credit or debit cards, U.S. bank accounts, or even wire transfers of funds. Other options for exchanges that will take U.S. dollars for coins are Kraken, and Gemini in the U.S. Typically you will need to verify your account with a driver's license and add other details to expand your buy limits. Since cryptocurrencies are "hard currencies," the exchanges don't want to risk getting ripped off, since you can't reverse a cryptocurrency transaction once it's done.

If you are looking for some of the newer coins that are making big movement but haven't made their way to the aforementioned exchange sites, you can look into Poloniex or Livecoin. You can transfer Bitcoin or Ethereum to these platforms from Coinbase and then exchange it for any other digital currency that you want.

If you are outside the U.S., here are a few options for exchanges that take your local currency: BTC Markets (Australia), Bitthumb or Coinone (Korea), CHBTC or Huobi (China), and QuadrigaCX (Canada.) You can find a full list on this page of where to buy Ethereum for your local currency.

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BTCC Is Resuming Cryptocurrency Withdrawals Albeit Limits Are Part of The Process – newsBTC

The bigger question is whether or not China can reclaim its status as cryptocurrency powerhouse.

Most people are well aware of the issues affecting Chinese cryptocurrency exchanges. Withdrawals have been unavailable for quite some time now. Luckily, it seems things are finally getting back on track for most platforms. Both OKCoin and BTCC are effectively resuming cryptocurrency withdrawals. Users can apply for higher daily limits as well. This is good news for Bitcoin in general, and the price has gone up ever since these services resumed.

A lot of Chinese cryptocurrency traders are pleased withdrawals are available again. It has taken most exchanges several months to provide this service. Earlier this year, the PBoC intervened and told exchanges they need to step up their AML requirements. As a result, cryptocurrency withdrawals were halted indefinitely. This did not bode well for Bitcoin and other cryptocurrencies.

It now appears the long wait is over. BTCC and OKCoin have reinstated the cryptocurrency withdrawal option. Users will need to adhere to specific limits, though. However, it is possible to increase limits through an application process. One Reddit user claims this process takes about 20 minutes, which is not too bad. This application process puts the user at a 20 Bitcoin withdrawal limit per day.

It is good to see Chinese exchanges resuming their regular operations. Not all of the platforms in the country have reinstated withdrawals, though. Slowly but surely, these platforms are getting back to operating at full strength. Interestingly enough, this news has allowed the Bitcoin price to go up in value once again. An intriguing turn of events, to say the least. It is unclear what this means for the long-term though.

The bigger question is whether or not China can reclaim its status as cryptocurrency powerhouse. Before the AML investigations, Chinese exchanges dominated the landscape in trading volume. Ever since, they have been surpassed by Japanese and Korean platforms. If China can compete with those platforms based on volume, things will get very interesting for Bitcoin. An exciting future lies ahead, that much is evident.

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Salesforce puts $50 million aside to help ‘next generation’ of cloud consulting firms – Cloud Tech

Cloud software giant Salesforce has announced a new $50 million (38.8m) fund from Salesforce Ventures, the companys corporate investment arm, to provide growth for the next generation of cloud consulting organisations.

The SI [system integrator] Trailblazer Fund will provide the next generation of cloud consulting companies with the capital required to build and scale their Salesforce services capabilities for the future and empower customers to transform their businesses with Salesforce, as the press materials put it.

Naturally, its not an especially altruistic venture, although among the companies Salesforce is already helping in this regard are 7Summits, an online community consulting partner for the Salesforce Community Cloud, and Arxxus, a provider of Salesforce professional services in Australia.

Another company getting involved is ATG, a company which provides quote to cash (CPQ) advisory and implementation services. This is a particularly interesting area on which this publication has recently focused; in a piece last month, contributor Louis Columbus noted how CPQ continues to be one of the hottest enterprise apps today, fuelled by the relentless need all companies have to increase sales while delivering customised orders profitably and accurately.

Alongside the money, Salesforce is also launching the SI Trailblazer Alliance Initiative, giving companies in the portfolio a wide range of training and tools, including accelerated onboarding and marketing and sales mentorship from company experts.

The company cites an IDC note which argues that Salesforce and its ecosystem of customers and partners will drive more than $389 billion in new GDP impact and 1.9 million new jobs worldwide by 2020. Its therefore not the software economy so much as the Salesforce economy.

Consulting firms play a pivotal role in the Salesforce ecosystem, implementing Salesforce solutions that meet the needs of customers of all sizes, industries and geographies, said John Somorjai, EVP of corporate development and Salesforce Ventures in a statement. This new fund will foster the next generation of SIs and supercharge the growth of the Salesforce ecosystem.

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Global Server Load Balancing Moves to the Cloud – The Data Center Journal

Even as applications move from traditional data centers to the cloud, server load balancing continues to be a core element of IT infrastructure. Whether servers are real or virtual, permanent or ephemeral, there is always a need to intelligently distribute workloads across those multiple servers.

But there remains a chronic gap in the ability to reliably distribute workloads across multiple clouds, multiple data centers and hybrid infrastructures. The result is poorly distributed workloads and degraded application performance that could be avoided if workloads were better managed globally. In short, there is a need for better global server load balancing (GSLB).

Also referred to as application-delivery controllers (ADCs), load balancers are widely deployed in data centers. Their function is to distribute workloads to back-end servers, thereby ensuring optimum use of aggregate server capacity and better application performance.

Providers including Citrix, F5, Kemp Technologies and Radware occupy the traditional load-balancer market. Their hardware ADCs have been the go-to solutions for infrastructure and operations teams for some time. Recently, software-based ADCs from these vendors and software-only solutions such as HAProxy, Nginx and Amazon ELB have emerged as enterprises have moved applications to the cloud.

Organizations can implement multi-data-center, multi-cloud GSLB using one of two basic approaches. The first is to use a traditional managed-DNS provider for basic traffic management. It has the advantage of being easy to implement, low in cost and reliable, requiring no capital outlay. Unfortunately, it offers only minimal traffic-management capabilities such as round-robin DNS and geo-routing. These approaches fail to prevent maldistribution of workloads because they use fixed, static rules rather than basing traffic routing on the real-time workloads and capacity at each data center. For example, geo-routing can only ensure that users (and their workloads) are sent to the geographically closest data center. It cannot account for uneven distribution of users geographically, local demand spikes or server outages in a data center.

Many ADC vendors offer their own purpose-built DNS appliances that have a tighter integration with their load balancers to address these limitations. This is the second basic approach. These appliances can make traffic-management decisions on the basis of actual use levels at each data center by receiving real-time load and capacity information from the local load balancers.

The benefit is overshadowed by its tradeoffs, which many enterprises find unpalatable:

Consequently, most enterprises that have deployed data center load balancers arent using the GSLB functions available from their load-balance vendor. Those that have deployed GSLB functions are open to replacing them with a better solution. A superior approach is a cloud-based, managed GSLB solution that uses real-time telemetry from load balancers to make intelligent traffic-management decisions.

GSLB is best delivered as a cloud-based managed service. The core attributes and advantages of such an approach are as follows:

Its now possible to enjoy the best of both worlds: a globally performing, reliable managed DNS service and advanced traffic-management capabilities that were previously available only with proprietary ADC solutions. This combined offering provides new opportunities for enterprises to prevent maldistribution of application workloads and deliver better overall application performance as well as a better, more consistent end-user experience.

Jonathan Lewis brings to NS1 over 25 years of IT-industry experience comprising product management, product marketing, customer service and systems engineering. Jonathan has played key roles contributing to the success of several industry-leading companies including Nortel, Arbor Networks, and SSH Communications Security (SSH1V). He holds BS and MS degrees from McGill University, an MBA from Bentley College and CISSP certification.

Global Server Load Balancing Moves to the Cloud was last modified: June 1st, 2017 by Jonathan Lewis

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NVIDIA Amps Up AI Cloud Strategy with ODM Partnerships – TOP500 News

NVIDIA is hooking up with four of the worlds largest original design manufacturers (ODMs) to help accelerate adoption of its GPUs into hyperscale datacenters. The new partner program would give Foxconn, Inventec, Quanta and Wistron early access to the HGX reference architecture, NVIDIAs server design for machine learning acceleration

Source: NVIDIA

HGX is an attempt to establish an industry-standard GPU box that maximizes computational density for machine learning workloads. It uses NVIDIAs most advanced GPUs, namely the Tesla P100, and soon, the Tesla V100. It glues eight of these into an NVLink cube mesh, and uses PCIe switching to allow CPUs to dynamically connect to them. Examples of this architecture include Microsoft's Project Olympus HGX-1 chassis, Facebook's Big Basin system, and NVIDIAs own DGX-1 server.

Facebooks Big Basin and Microsofts HGX-1 systems are GPU-only boxes, which rely on external CPU servers as hosts. Since the processor and co-processor are disaggregated, applications can fiddle with GPU-CPU ratio as needed. In most machine learning situations, you want a rather high ratio of GPUs to CPUs, since most of the processing ends up on the graphics chip. And in hyperscale/cloud datacenters, you also want the flexibility of allocating these resources dynamically as workloads shift around.

The DGX-1 server is a different animal altogether. Its a stand-alone machine learning appliance and includes two Xeon processors, along with the same eight-GPU NVLink mesh of its hyperscale cousins. As such, its not meant for cloud duty, but rather for businesses, research organizations, and software development firms that want an in-house machine learning box. SAP in the most prominent commercial buyer of the DGX-1, at least of those revealed publicly. But NVIDIA never intended to sell boatloads of these systems, especially since a lot of customers would prefer to rent machine learning cycles from cloud providers.

Thats why the ODM partnership could end up paying big dividends. These manufacturers already have the inside track with hyperscale customers, who have figured out that they can use these companies to get exactly the gear they want, and at sub-OEM pricing. ODMs are also more nimble than traditional server-makers, inasmuch that they can shorten the design-to-production timeline. That makes them better suited to the nearly continuous upgrade cycle of these mega-datacenters.

Given that the HGX-1 is manufactured by Foxconn subsidiary Ingrasys and the Big Basin system is built by Quanta, its a logical step for NVIDIA to include the other big ODMs, Inventec and Wistron, into the fold. The goal is to bring a wider range of HGX-type machinery to market and make them available to hyperscale customers other than just Microsoft and Facebook.

The other aspect of this is that NVIDIA would like to solidify its dominance with machine learning customers before Intel brings its AI-optimized silicon to market. Startup companies like Wave Computing and Graphcore also are threatening to challenge NVIDIA with their own custom chips. Establishing an industry-standard architecture before these competing solutions get market traction would help NVIDIA maintain its leadership.

To some extent, NVIDIA is also competing with some its biggest customers, like Google and Microsoft, both of which are building AI clouds based on their own technologies. In the case of Google, its their Tensor Processor Unit (TPU), which the search giant has upgraded for an expanded role that threatens NVIDIA directly. Meanwhile, Microsoft is filling out its AI infrastructure with an FPGA-based solution that, likewise, could sideline NVIDIA GPUs in Azure datacenters.

The prospect of using the future V100 Tesla GPUs in HPX platforms actually intensifies the competition, since these upcoming processors are built for both neural net training and inferencing. Although NVIDIA used to build its own inferencing-specific GPUs (the M4 and M40, followed by the P4 and P40), inferencing is also performed by regular CPUs and FPGAs, not to mention Googles TPUs, running in regular cloud servers.

Inferencing has somewhat different requirements than training, especially with regards to minimizing latency, but with the Volta architecture and the V100, NVIDIA thinks it has designed a solution that is capable of doing both, and doing so competitively. From a hyperscale companys point of view, there are some obvious advantages in separating inferencing, and certainly training infrastructure from the rest of the server farm not the least of which is being able to deploy and run machine learning gear in a more flexible manner. And since these upcoming V100 GPUs will be used by hyperscale companies for training, they are also likely to get a shot at some of those same companies inference workloads.

Finally, if NVIDIA manages to establish HGX as the standard GPU architecture for AI clouds, it makes its own recently announced GPU cloud platform more attractive. Since NVIDIAs cloud stack of machine learning libraries and frameworks runs on top of other peoples infrastructure, pushing its HGX architecture into the ecosystem would make NVIDIAs job of supporting the various hardware solutions that much simpler. It would also make it easier for customers to switch cloud providers without having to tweak their own software.

Well be able to tell if these ODM relationships pay off when we start seeing additional HGX solutions coming to market and being adopted by various cloud providers. As NVIDIA likes to remind us, its GPUs are used in the worlds top 10 hyperscale businesses today. If all goes as planned, someday it will be able to make the same claim for HGX.

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Cloud computing takes off as top new discipline on campus – Education Dive

Indranil Gupta, an associate professor in the Department of Computer Science at the University of Illinois Urbana-Champaign, recalled the first time he offered a free Coursera online class on Cloud Computing Concepts in the spring of 2015. In the first class, Gupta said, Coursera registered a total of 179,000 enrollees from 198 countries.

That shows you how much interest there is, he said. It seems like every single country has some students who are interested.

Guptas assessment matches numerous reports that interest in cloud computing among students had skyrocketed, and courses in computer science departments throughout the nation were increasingly becoming commonplace. However, a recent report by Clutch, a Washington, D.C. based B2B and research firm, found that there were still concerns among universities and professors regarding the cost of teaching cloud computing. Riley Planko, a content developer at Clutch who authored the report, noted that while individual courses and certification programs were increasingly available, undergraduate and Masters programs were still developing.

For the cost, there was definitely optimism. Theres potential with regulation, and learning how to manage this, that its something that can be more more under control by the university, she said. It still a young field. Its only been around in its true power for a couple of years.

Higher education institutions have been interested in storing data on cloud servers for several years, and as the Clutch report indicates, cloud computing skills are in high demand by corporations, and increasingly, public institutions (LinkedIn found that knowledge in cloud computing was the most desirable skill in job applicants among employers, according to the report).

Kevin McDonald, the founder and managing director of GreyStaff Group, LLC, also teaches a cloud computing course in the Technology Management Masters program at Georgetown Universitys School of Continuing Studies. He said the sea change cloud computing brought to public and private industry was now benefitting individual startups. By eliminating the need for expensive server infrastructure and IT staff, new companies can significant cut their upfront costs, building their entire infrastructure in the cloud. It is an opportunity McDonald echoes in his course, with teams visualizing and building a phone app within a matter of weeks before presenting it to the class; some had even sought investors for their creations.

Its a total revolution under our feet, so as weve developed the program, weve tried to keep it in the real world, he said, marveling at the fact that students come up with an idea, and go through a startup and are able to present to a venture capitalist within six weeks.

Gupta agreed there was an ongoing transition amongst higher education institutions on how to offer cloud computing courses integrated in disciplines, instead of in isolation, and he detailed a Masters of Computer Science in Data Science currently offered by UIUC. The MCS-DS is an online program with a $19,200 tuition, offering students the ability to proceed at their own pace, and Guptas Coursera class in Cloud Computing Systems is integrated into the degree.

Gupta said that while there is always a period of transition where professors in a particular discipline may wonder whether a new facet of the discipline should be integrated or is merely temporal, he was optimistic about how computer science had quickly warmed to introducing cloud computing and big data into curricula.

Cloud computing as it is today is new, but many of the systems in cloud computing have been around for decades, he said. Many of the building blocks have been around for a long time, its just that its become more available and accessible to students.

Gupta also said the imposing costs of accessing cloud storage for student use could be alleviated by partnering with companies that offer free or reduced-price resources for students, citing that Amazon Web Services ran a program for several years that would offer $100 worth of credit for proposed research projects.

The company currently offers AWS Educate for institutions, educators and even individual students, touting access to company technology, training resources and open-source content for educational use. Much of UIUCs work, Gupta said, was done with Microsoft Azure due to a mutual partnership. He said students benefitted from the cloud space, while industries could see benefits once students enter the workforce.

Companies want students who are more familiar with the state of the technology, so they need as little training as possible when they join, he said. They know that all our students are smart; its whether they have the necessary skills or need extra training. If Microsoft has students use Microsoft Azure courses, theyre kind of already training them.

McDonald, who is also the author of Above The Clouds: Managing Risk In The World Of Cloud Computing, said government, after some lag time, was catching up to private industry in the adoption of cloud technology. The Federal Cloud First Initiative, instituted in 2010 by the Obama administration, had led to the closure of more than 3,000 data centers as of April 2016, with a goal of closing 5,203 federal data centers in total by 2019, almost half of the 2010 number.

He said cloud computing, like many burgeoning computer science fields, was increasingly viewed as interdisciplinary, asserting that while the School of Professional Studies valued the technical processes inherent in cloud computing, the increased accessibility of cloud storage for novice users lowered the complexity barrier for interested students.

Its gotten to that level of simplicity where we dont need to worry about that unless were turning out system engineers, he said. Thats always been the philosophy for this program since day one.

In addition to cost concerns, Pankos report found that some professors expressed concern with how to appropriately teach cloud computing in a rapidly-changing field, and also said the lack of necessary staff at universities that could be a hindrance.

Nevertheless, the report concluded that it would be worthwhile for colleges and universities to at least consider the topic for future implementation in their curricula.

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Booz Allen Hamilton employee left sensitive passwords unprotected online – Washington Post

An unnamed employee of federal contracting giant Booz Allen Hamilton temporarily left sensitive government passwords exposed online last week, raising new questions about the McLean companys cybersecurity practices after drawing scrutiny for the way top secret data was mishandled in two earlier, high-profile cases.

The leak was discovered when an unaffiliated cyber analyst named Chris Vickery happened upon the passwords while trying to guess Internet addresses that might be used in certain web servers. His company Upguard published his findings in a Wednesday blog post.

Booz Allen and its government customer, the National Geospatial-Intelligence Agency, both said that the passwords could not have been used to access classified information. The agency says it invalidated the affected passwords immediately after being notified of the incident.

A Booz Allen Hamilton spokesman described the incident as an isolated mistake made by one employee.

It appears that this is an individuals mistake, said Booz Allen spokesman James Fisher. While any incident of this nature is unacceptable and we hope to learn from it, so far we see this event as having limited impact.

Fisher declined to name the employee, citing personnel rules, saying only the company is taking appropriate action.

Cybersecurity experts decried the leak, arguing that leaving government passwords unprotected online could give hackers a point of entry to other networks, even if they didnt provide direct access to classified databases. If an outsider like Vickery could find the information by trying random web addresses, a hacker could just as easily do the same.

Its just straight up sloppiness, laziness, and really not adhering to policies, said Bob Wandell, vice president of services at Nehemiah Security, a Tysons-based cybersecurity company.

The passwords in question were stored on an Amazon cloud server, which organizations use to host and share projects. Individuals and organizations can rent storage space online and share access through common web addresses, or URLs, similar to filesharing services like Dropbox and Google Drive. (Amazon founder Jeffrey P. Bezos owns the Washington Post.)

Hackers are constantly scanning the whole cloud environment...they do this repeatedly just to wait for someone to make a mistake like this, said Tim Prendergast, a cloud security expert with cybersecurity firm Evident.io. I think were going to see more of these over time as cloud computing continues to accelerate its growth.

The findings are the latest blow for Booz Allen Hamilton, which has come under scrutiny in recent years after employees leaked highly classified information to the public. Edward Snowden, whose 2013 disclosures of classified National Security Agency information upended a number of a government survelliance programs, was a Booz Allen contractor. More recently, a long-time Booz Allen employee named Harold Martin III was charged with hoarding a massive cache of classified NSA data in his home and car.

The leaks brought to light Wednesday appear to be much less consequential. Its possible the employee wanted to avoid the hassle of frequent log-ins while working on a project.

They probably did it for convenience, Vickery said. Thus far we have no reason to believe it was a purposeful leak.

The fact that Amazons cloud server was being used to service a contract with a U.S. intelligence agency is indicative of a broader shift happening across the government, as data and applications move off individual computers and internal networks and into less costly and more adaptable cloud-based systems.

Capitalizing on that shift within the government is a key component of Booz Allen Hamiltons business strategy.

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