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John Bolton’s book expected to allege that Ukraine wasn’t Trump’s only foreign misconduct

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WASHINGTON – President Donald Trump’s one-time national security advisor John Bolton writes in a forthcoming book that his former boss’ attempt to coerce Ukraine into investigating Joe Biden wasn’t his only foreign misstep.

Simon & Schuster, which is publishing Bolton’s “The Room Where It Happened: A White House Memoir,” announced Friday the book will lay out other examples of international misconduct that go beyond Trump’s pressure campaign on Ukraine which served as the basis for the president’s impeachment last year.

“In fact, (Bolton) argues that the House committed impeachment malpractice by keeping their prosecution focused narrowly on Ukraine when Trump’s Ukraine-like transgressions existed across the full range of his foreign policy,” a news release from the publisher read. “And Bolton documents exactly what those were, and attempts by him and others in the Administration to raise alarms about them.”

National security adviser John Bolton.

The release does not list the nature of those “transgressions” or which countries are involved except to say that Bolton’s book lays out “his dealings with allies and enemies alike, from China, Russia, Ukraine, North Korea, Iran, the UK, France, and Germany.”

Axios first broke the news of the allegations in the book, which is due out June 23. 

The White House did not immediately respond to a request for comment.

More:Who is John Bolton, the former national security adviser now a focus in Trump’s impeachment trial?

Requests for additional comment from Bolton’s lawyer, Charles Cooper, and Bolton’s spokesperson were not immediately returned.

Bolton, national security advisor from April 2018 until he was pushed out in September, was a central figure in the Senate impeachment trial of Trump earlier this year following the House’s decision to forward two charges to the Senate for consideration: abuse of power and obstruction of Congress.

More:John Bolton’s book about his time in the Trump White House again delayed, this time to June 23

After Bolton didn’t appear voluntarily before a House impeachment hearing in November, Cooper told the investigating committees that his client was “personally involved” in meetings relevant to the inquiry into whether Trump withheld military aid to Ukraine for political reasons.

News outlets reported at the time that a manuscript for Bolton’s upcoming book says Trump explicitly told Bolton he did not want to release the aid until Ukraine helped with investigations related to the 2016 election and Democrats, including Biden, a political rival.

The former vice president has since become the presumptive Democratic presidential nominee and will face Trump in the November election.

More:Bombshell book: What we know about John Bolton’s allegations about Trump and Ukraine

Because Bolton’s reported claim would contradict the president, who has insisted the decision to delay the aid was rooted in concerns about corruption, not politics, the news about his book sharply intensified Democrats’ demand that he be called to testify.

Bolton never testified and the president was acquitted on both charges by the Senate on a largely party-line vote.

President Donald Trump and national security adviser John Bolton on April 9, 2018.

The Simon & Schuster release said Bolton’s book will describe a president consumed with winning a second term.

“I am hard-pressed to identify any significant Trump decision during my tenure that wasn’t driven by reelection calculations,” Bolton writes in the book, according to the publisher.

In a Wall Street Journal column Wednesday, Cooper also has criticized the White House for setting up numerous roadblocks to prevent the publication of the book, including extensive review of potentially classified materials.

Contributing: William Cummings

Source: http://rssfeeds.usatoday.com/~/627127626/0/usatoday-newstopstories~John-Boltons-book-expected-to-allege-that-Ukraine-wasnt-Trumps-only-foreign-misconduct/

Forex

What is Forex IB? How to earn with Forex IB? The best IB companies. Details about the IB system

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The system known as Forex IB has been one of the most interesting topics recently. The forex IB stands for “Introducing Broker” with its original name, that is, people called promoting brokers share their forex transactions at certain companies or deliver them to more people through different methods. Forex IBs are a business model in which they earn income from these promotions to the extent that they enable them to turn to these markets with their sharing and methods.

Let’s go into the details of how the Forex IB system works and start removing the question marks in your mind.

Why does the Forex IB system exist?

Before moving on to Forex IB, let’s first explain why forex IB is needed by answering the question of what is the forex market.

As it is known, forex markets see the opportunity to sell certain securities or securities at different prices in different countries of the world, with the price of the same commodity here, for example; It is the name given to the markets where profit is made by taking advantage of the difference between its price in China.

All types of commodities and securities can be traded in a forex market. Among them; There are also products such as coffee, wheat or money such as dollars and euros. Following the value of the same foreign currency amount in a different country instantly and selling it expensive after being bought cheap is the main gain gate of the forex markets.

Forex transactions are transactions performed by forex brokerage firms. organizations in Turkey, which will perform a forex transactions must be authorized by the CMB. It is not possible to make forex transactions through an organization that does not receive the necessary authorization from the CMB.

However, despite this it is increasing day by day the number of forex entity that is authorized in Turkey. This brings competition to the agenda. In addition, forex organizations are introducing different advantages to the market in order to attract more customers to them. This is also a situation that increases competition.

Here, forex IBs emerged as a result of this competition.

How does the Forex IB system work?

Of course, if you want to work in an investment company as forex IB, you must have a certain degree of forex knowledge. If you do not have a certain experience and an infrastructure to acquire customers for yourself, you cannot make forex companies take care of you.

Deal with investment company to become Forex IB

The first requirement to become Forex IB is of course to have an audience that follows you and takes your investment suggestions into account. If you have such an audience, the first thing you will do is sign up for the IB affiliate program part of a forex investment company.

After completing your registration, the forex firm will ask you for details about the task you want to do. These details include topics such as where to find customers, how to keep your customers’ bond with you sustainable, and how much you can predict the revenue you will earn from your customers.

Obtaining Forex IB promotional materials

If you are evaluated by the company that you are eligible for forex IB, the promotional products you need to start your studies are provided. If we say product, of course, don’t just think of concrete things. You can do these promotional activities only on the internet, as well as with traditional methods. However, nowadays, the internet is generally preferred because it is the largest area of ​​influence and it is possible to reach thousands of people using the internet at the same time with a single click. According to the method you determined, you will be provided with the relevant material whichever is the most appropriate form of promotion.

Customer tracking

Through the materials provided to you, it is tracked whether a customer is registered in the forex system of that company with your reference. This tracking is a channel that will be determined according to which channel you decide to acquire customers for the company. For example; If you have decided to make a Forex IB transaction on your personal website, it can be easily determined whether a person has come with your reference or not with the banner or links given to you.

How much are Forex IB revenues?

As Forex IB, you will have partnered with companies in exchange for enabling people to use forex exchanges. In this way, if there is a customer who starts doing business with that company with your guidance, the company will give you a certain part of its earnings.

Of course, how much this gain will be varies between companies. At this point, our recommendation for forex IB will be AMarkets, which gives the best commission rate among forex exchanges working with forex IBs.

Although Amarkets distributes profits at different rates depending on the number of customers a forex IB brings and the amount that customer spends on the site, it is still the forex exchange that gives the best rates compared to other sites.

Forex IBs AMark

Level by level is positioned according to working times in ets. There are 3 levels of forex IB on the site. In order to rise between the levels, it is sufficient that the investment amount of the customers brought is high.

Let’s make this more concrete. For example; Let’s say you found 10 people with a capital of $ 10,000. With this amount of money, you can buy 100 lots of any product per month. If you are a level 1 Forex IB for lots bought, you will earn an amount of $ 10 for each 1 lot purchase. So, with a simple account, you can earn $ 1000 per month on Amarkets as a forex IB.

However, it is also stated as a necessity for a forex IB to have at least 3 active customers.

Register with AMarkets and benefit from this unique opportunity to earn by sharing your knowledge and experience.

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Blockchain

Bitcoin’s Price Fell. So…What?

Bitcoin is a very new technology, even though the concept that it brings to life is decades old. The double spending problem has been…

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Beautyon

Bitcoin is a very new technology, even though the concept that it brings to life is decades old. The double spending problem has been solved; this means that it is possible to use a digital certificate to stand in the place of money and be sure that no one else can spend that certificate other than you as long as you hold it. This is an unprecedented paradigm shift, the implications of which are not yet fully understood, and for which the tools do not yet exist to fully take advantage of this new idea.

This new technology requires some new thinking when it comes to developing businesses that are built upon it. In the same way that the pioneer providers of email did not correctly understand the service they were selling for many years, new and correct thinking about Bitcoin is needed, and will emerge, so that it reaches its full potential and becomes ubiquitous.

The original Hotmail Interface

Hotmail used familiar technologies (the browser, email) to create a better way of accessing and delivering email; the idea of using an email client like Outlook Express has been superseded by web interfaces and email ‘in the cloud’ that provides many advantages over a dedicated client with your mail in your own local storage.

Bitcoin, which will transform the way you transfer money, needs to be understood on its own terms, and not just as an online form of money. Thinking about Bitcoin as money is as absurd as thinking about email as another form of sending letters by post; one not only replaces the other but it profoundly changes the way people send and consume messages. It is not a simple substitution or one dimensional improvement of an existing idea or service.

As I have explained previously, Bitcoin is not money. Bitcoin is a protocol. If you treat it in this way, with the correct assumptions, you can start the process of putting Bitcoin in a proper context, allowing you to make rational suggestions about the sort of services that might be profitable based on it.

Every part of Bitcoin is text. It is always text, and never at any point ceases to be text. This is a fact, and as text, it is protected under the free speech provisions of the constitutions of civilized nations with guaranteed, irrevocable rights.

When you type in an email on your Gmail account, you are inputting your ‘letter’. You press send, it goes through your ISP, over the internets, into the ISP of your recipient and then it is outputted on your recipient’s machine. The same is true of Bitcoin; you input money on one end through a service and then send the Bitcoin to your recipient, without an intermediary to handle the transfer. Once Bitcoin does its job of moving your value across the globe to its recipient it needs to be ‘read out’, i.e. turned back into money, in the same way that your letter is displayed to its recipient in an email.

In the email scenario, once the transfer happens and the email you have received conveys its information to you, it has no use other than to be a record of the information that was sent (accounting), and you archive that information. Bitcoin does this accounting in the block chain for you, and a good service built on it will store extended transaction details for you locally, but what you need to have as the recipient of Bitcoin is money or goods not Bitcoin itself.

Despite the fact that you cannot double spend them and each one is unique, Bitcoins have no inherent value, unlike a book or any physical object. Mistaken thinking about Bitcoin has spread because it behaves like money, due to the fact it cannot be double spent. This fact however has masked Bitcoin’s dual nature of being digital, duplicable and not double spendable.

Razzles. They start as a candy, and then end as a gum. Before you chew them, which are they? A candy, or a gum?

Bitcoin is digital, with all the qualities of information that make information non scarce. It sits in a new place that oscillates between the goods of the physical world and the infinitely abundant digital world of information, belonging exclusively to the digital world but having the characteristics of both. This is why it has been widely misunderstood and why a new approach is needed to design businesses around it.

All of this goes some way to explain why the price of buying Bitcoins at the exchanges doesn’t matter. If the cost of buying a Bitcoin goes to 1¢ This does not change the amount of money that comes out at the other end of a transfer. As long as you redeem your Bitcoin immediately after the transfer into either goods or currency, the same value comes out at the other end no matter what you paid for the Bitcoin when you started the process.

Think about it this way. Let us suppose that you want to send a long text file to another person. You can either send it as it is, or you can compress it with zip. The size of a document file when it is zipped can be up to 87% smaller than the original. When we transpose this idea to Bitcoin, the compression ratio is the price of Bitcoin at an exchange. If a Bitcoin is $100, and you want to buy something from someone in India for $100 you need to buy 1 Bitcoin to get that $100 to India. If the price of Bitcoin is 1¢ then you need 10,000 Bitcoins to send $100 dollars to India. These would be expressed as compression ratios of 1:1 and 10,000:1 respectively.

The same $100 value is sent to India, whether you use 10,000 or 1 Bitcoin. The price of Bitcoins is irrelevant to the value that is being transmitted, in the same way that zip files do not ‘care’ what is inside them; Bitcoin and zip are dumb protocols that do a job.

As long as the value of Bitcoins does not go to zero, it will have the same utility as if the value were very ‘high’.

Bearing all of this in mind, it’s clear that new services to facilitate the rapid, frictionless conversion into and out of Bitcoin are needed to allow it to function in a manner that is true to its nature.

Imagine this; you receive an email from across the world, and are notified of the fact by being displayed the subject line in your browser. You then apply to your ISP to have this email delivered to you, and you have to wait seven days for it to arrive in your physical mail box.

The very idea is completely absurd, and yet, this is exactly what is happening with Bitcoin, for no technical reason whatsoever.

It is clear that there needs to be a re-think of the services that are growing around Bitcoin, along with a re-think of what the true nature of Bitcoin is. Rethinking services is a normal part of entrepreneurialism and we should expect business models to fail and early entrants to fall by the wayside as the ceaseless iterations and pivoting progress.

Bearing all of this in mind, focusing on the price of Bitcoin at exchanges using a business model that is inappropriate for this technology simply is not rational; it’s like putting a methane breathing canary in a mine full of oxygen breathing humans as a detector. The bird dies even though nothing is wrong with the air; the miners rush to evacuate, leaving the exposed gold seams behind, thinking that they are all about to be wiped out, when all is actually fine.

Day traders speculating on Bitcoin from home cause the price to oscillate. It’s an artificial signal that has nothing to do with demand for Bitcoin and its circulation as an economic tool to facilitate commerce.

Bitcoin, and the ideas behind it are here to stay. As the number of people downloading the clients, apps wallet and and tools and building on it increases, like Hotmail, it will eventually reach critical mass and then spread exponentially through the Internet. When that happens, the correct business models will spontaneously emerge, as they will become obvious, in the same way that Hotmail, Gmail, Facebook, cellular phones and instant messaging seem like second nature.

In the future. I imagine that very few people will speculate on the value of Bitcoin, because even though that might be possible, and even profitable, there will be more money to be made in providing easy to use Bitcoin services that take full advantages of what Bitcoin is.

One thing is for sure; speed will be of the essence in any future Bitcoin business model. The startups that provide instant satisfaction on both ends of the transaction are the ones that are going to succeed. Even though the volatility of the price of Bitcoin is bound to stabilise, since it has no use in and of itself, getting back to money or goods instantly will be a sought after characteristic of any business built on Bitcoin.

The needs of Bitcoin businesses provide many challenges in terms of performance, security and new thinking. Out of these challenges will come new practices and software that we can only just imagine as they come over the horizon.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://medium.com/swlh/bitcoins-price-fell-so-what-a2f1f73bbe19?source=rss——-8—————–cryptocurrency

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Blockchain

Bitcoin’s Price Fell. So…What?

Bitcoin is a very new technology, even though the concept that it brings to life is decades old. The double spending problem has been…

Avatar

Published

on

Beautyon

Bitcoin is a very new technology, even though the concept that it brings to life is decades old. The double spending problem has been solved; this means that it is possible to use a digital certificate to stand in the place of money and be sure that no one else can spend that certificate other than you as long as you hold it. This is an unprecedented paradigm shift, the implications of which are not yet fully understood, and for which the tools do not yet exist to fully take advantage of this new idea.

This new technology requires some new thinking when it comes to developing businesses that are built upon it. In the same way that the pioneer providers of email did not correctly understand the service they were selling for many years, new and correct thinking about Bitcoin is needed, and will emerge, so that it reaches its full potential and becomes ubiquitous.

The original Hotmail Interface

Hotmail used familiar technologies (the browser, email) to create a better way of accessing and delivering email; the idea of using an email client like Outlook Express has been superseded by web interfaces and email ‘in the cloud’ that provides many advantages over a dedicated client with your mail in your own local storage.

Bitcoin, which will transform the way you transfer money, needs to be understood on its own terms, and not just as an online form of money. Thinking about Bitcoin as money is as absurd as thinking about email as another form of sending letters by post; one not only replaces the other but it profoundly changes the way people send and consume messages. It is not a simple substitution or one dimensional improvement of an existing idea or service.

As I have explained previously, Bitcoin is not money. Bitcoin is a protocol. If you treat it in this way, with the correct assumptions, you can start the process of putting Bitcoin in a proper context, allowing you to make rational suggestions about the sort of services that might be profitable based on it.

Every part of Bitcoin is text. It is always text, and never at any point ceases to be text. This is a fact, and as text, it is protected under the free speech provisions of the constitutions of civilized nations with guaranteed, irrevocable rights.

When you type in an email on your Gmail account, you are inputting your ‘letter’. You press send, it goes through your ISP, over the internets, into the ISP of your recipient and then it is outputted on your recipient’s machine. The same is true of Bitcoin; you input money on one end through a service and then send the Bitcoin to your recipient, without an intermediary to handle the transfer. Once Bitcoin does its job of moving your value across the globe to its recipient it needs to be ‘read out’, i.e. turned back into money, in the same way that your letter is displayed to its recipient in an email.

In the email scenario, once the transfer happens and the email you have received conveys its information to you, it has no use other than to be a record of the information that was sent (accounting), and you archive that information. Bitcoin does this accounting in the block chain for you, and a good service built on it will store extended transaction details for you locally, but what you need to have as the recipient of Bitcoin is money or goods not Bitcoin itself.

Despite the fact that you cannot double spend them and each one is unique, Bitcoins have no inherent value, unlike a book or any physical object. Mistaken thinking about Bitcoin has spread because it behaves like money, due to the fact it cannot be double spent. This fact however has masked Bitcoin’s dual nature of being digital, duplicable and not double spendable.

Razzles. They start as a candy, and then end as a gum. Before you chew them, which are they? A candy, or a gum?

Bitcoin is digital, with all the qualities of information that make information non scarce. It sits in a new place that oscillates between the goods of the physical world and the infinitely abundant digital world of information, belonging exclusively to the digital world but having the characteristics of both. This is why it has been widely misunderstood and why a new approach is needed to design businesses around it.

All of this goes some way to explain why the price of buying Bitcoins at the exchanges doesn’t matter. If the cost of buying a Bitcoin goes to 1¢ This does not change the amount of money that comes out at the other end of a transfer. As long as you redeem your Bitcoin immediately after the transfer into either goods or currency, the same value comes out at the other end no matter what you paid for the Bitcoin when you started the process.

Think about it this way. Let us suppose that you want to send a long text file to another person. You can either send it as it is, or you can compress it with zip. The size of a document file when it is zipped can be up to 87% smaller than the original. When we transpose this idea to Bitcoin, the compression ratio is the price of Bitcoin at an exchange. If a Bitcoin is $100, and you want to buy something from someone in India for $100 you need to buy 1 Bitcoin to get that $100 to India. If the price of Bitcoin is 1¢ then you need 10,000 Bitcoins to send $100 dollars to India. These would be expressed as compression ratios of 1:1 and 10,000:1 respectively.

The same $100 value is sent to India, whether you use 10,000 or 1 Bitcoin. The price of Bitcoins is irrelevant to the value that is being transmitted, in the same way that zip files do not ‘care’ what is inside them; Bitcoin and zip are dumb protocols that do a job.

As long as the value of Bitcoins does not go to zero, it will have the same utility as if the value were very ‘high’.

Bearing all of this in mind, it’s clear that new services to facilitate the rapid, frictionless conversion into and out of Bitcoin are needed to allow it to function in a manner that is true to its nature.

Imagine this; you receive an email from across the world, and are notified of the fact by being displayed the subject line in your browser. You then apply to your ISP to have this email delivered to you, and you have to wait seven days for it to arrive in your physical mail box.

The very idea is completely absurd, and yet, this is exactly what is happening with Bitcoin, for no technical reason whatsoever.

It is clear that there needs to be a re-think of the services that are growing around Bitcoin, along with a re-think of what the true nature of Bitcoin is. Rethinking services is a normal part of entrepreneurialism and we should expect business models to fail and early entrants to fall by the wayside as the ceaseless iterations and pivoting progress.

Bearing all of this in mind, focusing on the price of Bitcoin at exchanges using a business model that is inappropriate for this technology simply is not rational; it’s like putting a methane breathing canary in a mine full of oxygen breathing humans as a detector. The bird dies even though nothing is wrong with the air; the miners rush to evacuate, leaving the exposed gold seams behind, thinking that they are all about to be wiped out, when all is actually fine.

Day traders speculating on Bitcoin from home cause the price to oscillate. It’s an artificial signal that has nothing to do with demand for Bitcoin and its circulation as an economic tool to facilitate commerce.

Bitcoin, and the ideas behind it are here to stay. As the number of people downloading the clients, apps wallet and and tools and building on it increases, like Hotmail, it will eventually reach critical mass and then spread exponentially through the Internet. When that happens, the correct business models will spontaneously emerge, as they will become obvious, in the same way that Hotmail, Gmail, Facebook, cellular phones and instant messaging seem like second nature.

In the future. I imagine that very few people will speculate on the value of Bitcoin, because even though that might be possible, and even profitable, there will be more money to be made in providing easy to use Bitcoin services that take full advantages of what Bitcoin is.

One thing is for sure; speed will be of the essence in any future Bitcoin business model. The startups that provide instant satisfaction on both ends of the transaction are the ones that are going to succeed. Even though the volatility of the price of Bitcoin is bound to stabilise, since it has no use in and of itself, getting back to money or goods instantly will be a sought after characteristic of any business built on Bitcoin.

The needs of Bitcoin businesses provide many challenges in terms of performance, security and new thinking. Out of these challenges will come new practices and software that we can only just imagine as they come over the horizon.

Coinsmart. Beste Bitcoin-Börse in Europa
Source: https://medium.com/swlh/bitcoins-price-fell-so-what-a2f1f73bbe19?source=rss——-8—————–cryptocurrency

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AI

Nvidia CEO Jensen Huang interview: From the Grace CPU to engineer’s metaverse

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Join Transform 2021 this July 12-16. Register for the AI event of the year.


Nvidia CEO Jensen Huang delivered a keynote speech this week to 180,000 attendees registered for the GTC 21 online-only conference. And Huang dropped a bunch of news across multiple industries that show just how powerful Nvidia has become.

In his talk, Huang described Nvidia’s work on the Omniverse, a version of the metaverse for engineers. The company is starting out with a focus on the enterprise market, and hundreds of enterprises are already supporting and using it. Nvidia has spent hundreds of millions of dollars on the project, which is based on 3D data-sharing standard Universal Scene Description, originally created by Pixar and later open-sourced. The Omniverse is a place where Nvidia can test self-driving cars that use its AI chips and where all sorts of industries will able to test and design products before they’re built in the physical world.

Nvidia also unveiled its Grace central processing unit (CPU), an AI processor for datacenters based on the Arm architecture. Huang announced new DGX Station mini-sucomputers and said customers will be free to rent them as needed for smaller computing projects. And Nvidia unveiled its BlueField 3 data processing units (DPUs) for datacenter computing alongside new Atlan chips for self-driving cars.

Here’s an edited transcript of Huang’s group interview with the press this week. I asked the first question, and other members of the press asked the rest. Huang talked about everything from what the Omniverse means for the game industry to Nvidia’s plans to acquire Arm for $40 billion.

Jensen Huang, CEO of Nvidia, at GTC 21.

Above: Nvidia CEO Jensen Huang at GTC 21.

Image Credit: Nvidia

Jensen Huang: We had a great GTC. I hope you enjoyed the keynote and some of the talks. We had more than 180,000 registered attendees, 3 times larger than our largest-ever GTC. We had 1,600 talks from some amazing speakers and researchers and scientists. The talks covered a broad range of important topics, from AI [to] 5G, quantum computing, natural language understanding, recommender systems, the most important AI algorithm of our time, self-driving cars, health care, cybersecurity, robotics, edge IOT — the spectrum of topics was stunning. It was very exciting.

Question: I know that the first version of Omniverse is for enterprise, but I’m curious about how you would get game developers to embrace this. Are you hoping or expecting that game developers will build their own versions of a metaverse in Omniverse and eventually try to host consumer metaverses inside Omniverse? Or do you see a different purpose when it’s specifically related to game developers?

Huang: Game development is one of the most complex design pipelines in the world today. I predict that more things will be designed in the virtual world, many of them for games, than there will be designed in the physical world. They will be every bit as high quality and high fidelity, every bit as exquisite, but there will be more buildings, more cars, more boats, more coins, and all of them — there will be so much stuff designed in there. And it’s not designed to be a game prop. It’s designed to be a real product. For a lot of people, they’ll feel that it’s as real to them in the digital world as it is in the physical world.

Omniverse lets artists design hotels in a 3D space.

Above: Omniverse lets artists design hotels in a 3D space.

Image Credit: Leeza SOHO, Beijing by ZAHA HADID ARCHITECTS

Omniverse enables game developers working across this complicated pipeline, first of all, to be able to connect. Someone doing rigging for the animation or someone doing textures or someone designing geometry or someone doing lighting, all of these different parts of the design pipeline are complicated. Now they have Omniverse to connect into. Everyone can see what everyone else is doing, rendering in a fidelity that is at the level of what everyone sees. Once the game is developed, they can run it in the Unreal engine that gets exported out. These worlds get run on all kinds of devices. Or Unity. But if someone wants to stream it right out of the cloud, they could do that with Omniverse, because it needs multiple GPUs, a fair amount of computation.

That’s how I see it evolving. But within Omniverse, just the concept of designing virtual worlds for the game developers, it’s going to be a huge benefit to their work flow.

Question: You announced that your current processors target high-performance computing with a special focus on AI. Do you see expanding this offering, developing this CPU line into other segments for computing on a larger scale in the market of datacenters?

Huang: Grace is designed for applications, software that is data-driven. AI is software that writes software. To write that software, you need a lot of experience. It’s just like human intelligence. We need experience. The best way to get that experience is through a lot of data. You can also get it through simulation. For example, the Omniverse simulation system will run on Grace incredibly well. You could simulate — simulation is a form of imagination. You could learn from data. That’s a form of experience. Studying data to infer, to generalize that understanding and turn it into knowledge. That’s what Grace is designed for, these large systems for very important new forms of software, data-driven software.

As a policy, or not a policy, but as a philosophy, we tend not to do anything unless the world needs us to do it and it doesn’t exist. When you look at the Grace architecture, it’s unique. It doesn’t look like anything out there. It solves a problem that didn’t used to exist. It’s an opportunity and a market, a way of doing computing that didn’t exist 20 years ago. It’s sensible to imagine that CPUs that were architected and system architectures that were designed 20 years ago wouldn’t address this new application space. We’ll tend to focus on areas where it didn’t exist before. It’s a new class of problem, and the world needs to do it. We’ll focus on that.

Otherwise, we have excellent partnerships with Intel and AMD. We work very closely with them in the PC industry, in the datacenter, in hyperscale, in supercomputing. We work closely with some exciting new partners. Ampere Computing is doing a great ARM CPU. Marvell is incredible at the edge, 5G systems and I/O systems and storage systems. They’re fantastic there, and we’ll partner with them. We partner with Mediatek, the largest SOC company in the world. These are all companies who have brought great products. Our strategy is to support them. Our philosophy is to support them. By connecting our platform, Nvidia AI or Nvidia RTX, our raytracing platform, with Omniverse and all of our platform technologies to their CPUs, we can expand the overall market. That’s our basic approach. We only focus on building things that the world doesn’t have.

Nvidia's Grace CPU for datacenters.

Above: Nvidia’s Grace CPU for datacenters is named after Grace Hopper.

Image Credit: Nvidia

Question: I wanted to follow up on the last question regarding Grace and its use. Does this signal Nvidia’s perhaps ambitions in the CPU space beyond the datacenter? I know you said you’re looking for things that the world doesn’t have yet. Obviously, working with ARM chips in the datacenter space leads to the question of whether we’ll see a commercial version of an Nvidia CPU in the future.

Huang: Our platforms are open. When we build our platforms, we create one version of it. For example, DGX. DGX is fully integrated. It’s bespoke. It has an architecture that’s very specifically Nvidia. It was designed — the first customer was Nvidia researchers. We have a couple billion dollars’ worth of infrastructure our AI researchers are using to develop products and pretrain models and do AI research and self-driving cars. We built DGX primarily to solve a problem we had. Therefore it’s completely bespoke.

We take all of the building blocks, and we open it. We open our computing platform in three layers: the hardware layer, chips and systems; the middleware layer, which is Nvidia AI, Nvidia Omniverse, and it’s open; and the top layer, which is pretrained models, AI skills, like driving skills, speaking skills, recommendation skills, pick and play skills, and so on. We create it vertically, but we architect it and think about it and build it in a way that’s intended for the entire industry to be able to use however they see fit. Grace will be commercial in the same way, just like Nvidia GPUs are commercial.

With respect to its future, our primary preference is that we don’t build something. Our primary preference is that if somebody else is building it, we’re delighted to use it. That allows us to spare our critical resources in the company and focus on advancing the industry in a way that’s rather unique. Advancing the industry in a way that nobody else does. We try to get a sense of where people are going, and if they’re doing a fantastic job at it, we’d rather work with them to bring Nvidia technology to new markets or expand our combined markets together.

The ARM license, as you mentioned — acquiring ARM is a very similar approach to the way we think about all of computing. It’s an open platform. We sell our chips. We license our software. We put everything out there for the ecosystem to be able to build bespoke, their own versions of it, differentiated versions of it. We love the open platform approach.

Question: Can you explain what made Nvidia decide that this datacenter chip was needed right now? Everybody else has datacenter chips out there. You’ve never done this before. How is it different from Intel, AMD, and other datacenter CPUs? Could this cause problems for Nvidia partnerships with those companies, because this puts you in direct competition?

Huang: The answer to the last part — I’ll work my way to the beginning of your question. But I don’t believe so. Companies have leadership that are a lot more mature than maybe given credit for. We compete with the ARM GPUs. On the other hand, we use their CPUs in DGX. Literally, our own product. We buy their CPUs to integrate into our own product — arguably our most important product. We work with the whole semiconductor industry to design their chips into our reference platforms. We work hand in hand with Intel on RTX gaming notebooks. There are almost 80 notebooks we worked on together this season. We advance industry standards together. A lot of collaboration.

Back to why we designed the datacenter CPU, we didn’t think about it that way. The way Nvidia tends to think is we say, “What is a problem that is worthwhile to solve, that nobody in the world is solving and we’re suited to go solve that problem and if we solve that problem it would be a benefit to the industry and the world?” We ask questions literally like that. The philosophy of the company, in leading through that set of questions, finds us solving problems only we will, or only we can, that have never been solved before. The outcome of trying to create a system that can train AI models, language models, that are gigantic, learn from multi-modal data, that would take less than three months — right now, even on a giant supercomputer, it takes months to train 1 trillion parameters. The world would like to train 100 trillion parameters on multi-modal data, looking at video and text at the same time.

The journey there is not going to happen by using today’s architecture and making it bigger. It’s just too inefficient. We created something that is designed from the ground up to solve this class of interesting problems. Now this class of interesting problems didn’t exist 20 years ago, as I mentioned, or even 10 or five years ago. And yet this class of problems is important to the future. AI that’s conversational, that understands language, that can be adapted and pretrained to different domains, what could be more important? It could be the ultimate AI. We came to the conclusion that hundreds of companies are going to need giant systems to pretrain these models and adapt them. It could be thousands of companies. But it wasn’t solvable before. When you have to do computing for three years to find a solution, you’ll never have that solution. If you can do that in weeks, that changes everything.

That’s how we think about these things. Grace is designed for giant-scale data-driven software development, whether it’s for science or AI or just data processing.

Nvidia DGX SuperPod

Above: Nvidia DGX SuperPod

Image Credit: Nvidia

Question: You’re proposing a software library for quantum computing. Are you working on hardware components as well?

Huang: We’re not building a quantum computer. We’re building an SDK for quantum circuit simulation. We’re doing that because in order to invent, to research the future of computing, you need the fastest computer in the world to do that. Quantum computers, as you know, are able to simulate exponential complexity problems, which means that you’re going to need a really large computer very quickly. The size of the simulations you’re able to do to verify the results of the research you’re doing to do development of algorithms so you can run them on a quantum computer someday, to discover algorithms — at the moment, there aren’t that many algorithms you can run on a quantum computer that prove to be useful. Grover’s is one of them. Shore’s is another. There are some examples in quantum chemistry.

We give the industry a platform by which to do quantum computing research in systems, in circuits, in algorithms, and in the meantime, in the next 15-20 years, while all of this research is happening, we have the benefit of taking the same SDKs, the same computers, to help quantum chemists do simulations much more quickly. We could put the algorithms to use even today.

And then last, quantum computers, as you know, have incredible exponential complexity computational capability. However, it has extreme I/O limitations. You communicate with it through microwaves, through lasers. The amount of data you can move in and out of that computer is very limited. There needs to be a classical computer that sits next to a quantum computer, the quantum accelerator if you can call it that, that pre-processes the data and does the post-processing of the data in chunks, in such a way that the classical computer sitting next to the quantum computer is going to be super fast. The answer is fairly sensible, that the classical computer will likely be a GPU-accelerated computer.

There are lots of reasons we’re doing this. There are 60 research institutes around the world. We can work with every one of them through our approach. We intend to. We can help every one of them advance their research.

Question: So many workers have moved to work from home, and we’ve seen a huge increase in cybercrime. Has that changed the way AI is used by companies like yours to provide defenses? Are you worried about these technologies in the hands of bad actors who can commit more sophisticated and damaging crimes? Also, I’d love to hear your thoughts broadly on what it will take to solve the chip shortage problem on a lasting global basis.

Huang: The best way is to democratize the technology, in order to enable all of society, which is vastly good, and to put great technology in their hands so that they can use the same technology, and ideally superior technology, to stay safe. You’re right that security is a real concern today. The reason for that is because of virtualization and cloud computing. Security has become a real challenge for companies because every computer inside your datacenter is now exposed to the outside. In the past, the doors to the datacenter were exposed, but once you came into the company, you were an employee, or you could only get in through VPN. Now, with cloud computing, everything is exposed.

The other reason why the datacenter is exposed is because the applications are now aggregated. It used to be that the applications would run monolithically in a container, in one computer. Now the applications for scaled out architectures, for good reasons, have been turned into micro-services that scale out across the whole datacenter. The micro-services are communicating with each other through network protocols. Wherever there’s network traffic, there’s an opportunity to intercept. Now the datacenter has billions of ports, billions of virtual active ports. They’re all attack surfaces.

The answer is you have to do security at the node. You have to start it at the node. That’s one of the reasons why our work with BlueField is so exciting to us. Because it’s a network chip, it’s already in the computer node, and because we invented a way to put high-speed AI processing in an enterprise datacenter — it’s called EGX — with BlueField on one end and EGX on the other, that’s a framework for security companies to build AI. Whether it’s a Check Point or a Fortinet or Palo Alto Networks, and the list goes on, they can now develop software that runs on the chips we build, the computers we build. As a result, every single packet in the datacenter can be monitored. You would inspect every packet, break it down, turn it into tokens or words, read it using natural language understanding, which we talked about a second ago — the natural language understanding would determine whether there’s a particular action that’s needed, a security action needed, and send the security action request back to BlueField.

This is all happening in real time, continuously, and there’s just no way to do this in the cloud because you would have to move way too much data to the cloud. There’s no way to do this on the CPU because it takes too much energy, too much compute load. People don’t do it. I don’t think people are confused about what needs to be done. They just don’t do it because it’s not practical. But now, with BlueField and EGX, it’s practical and doable. The technology exists.

Nvidia's Inception AI statups over the years.

Above: Nvidia’s Inception AI statups over the years.

Image Credit: Nvidia

The second question has to do with chip supply. The industry is caught by a couple of dynamics. Of course one of the dynamics is COVID exposing, if you will, a weakness in the supply chain of the automotive industry, which has two main components it builds into cars. Those main components go through various supply chains, so their supply chain is super complicated. When it shut down abruptly because of COVID, the recovery process was far more complicated, the restart process, than anybody expected. You could imagine it, because the supply chain is so complicated. It’s very clear that cars could be rearchitected, and instead of thousands of components, it wants to be a few centralized components. You can keep your eyes on four things a lot better than a thousand things in different places. That’s one factor.

The other factor is a technology dynamic. It’s been expressed in a lot of different ways, but the technology dynamic is basically that we’re aggregating computing into the cloud, and into datacenters. What used to be a whole bunch of electronic devices — we can now virtualize it, put it in the cloud, and remotely do computing. All the dynamics we were just talking about that have created a security challenge for datacenters, that’s also the reason why these chips are so large. When you can put computing in the datacenter, the chips can be as large as you want. The datacenter is big, a lot bigger than your pocket. Because it can be aggregated and shared with so many people, it’s driving the adoption, driving the pendulum toward very large chips that are very advanced, versus a lot of small chips that are less advanced. All of a sudden, the world’s balance of semiconductor consumption tipped toward the most advanced of computing.

The industry now recognizes this, and surely the world’s largest semiconductor companies recognize this. They’ll build out the necessary capacity. I doubt it will be a real issue in two years because smart people now understand what the problems are and how to address them.

Question: I’d like to know more about what clients and industries Nvidia expects to reach with Grace, and what you think is the size of the market for high-performance datacenter CPUs for AI and advanced computing.

Huang: I’m going to start with I don’t know. But I can give you my intuition. 30 years ago, my investors asked me how big the 3D graphics was going to be. I told them I didn’t know. However, my intuition was that the killer app would be video games, and the PC would become — at the time the PC didn’t even have sound. You didn’t have LCDs. There was no CD-ROM. There was no internet. I said, “The PC is going to become a consumer product. It’s very likely that the new application that will be made possible, that wasn’t possible before, is going to be a consumer product like video games.” They said, “How big is that market going to be?” I said, “I think every human is going to be a gamer.” I said that about 30 years ago. I’m working toward being right. It’s surely happening.

Ten years ago someone asked me, “Why are you doing all this stuff in deep learning? Who cares about detecting cats?” But it’s not about detecting cats. At the time I was trying to detect red Ferraris, as well. It did it fairly well. But anyway, it wasn’t about detecting things. This was a fundamentally new way of developing software. By developing software this way, using networks that are deep, which allows you to capture very high dimensionality, it’s the universal function approximator. If you gave me that, I could use it to predict Newton’s law. I could use it to predict anything you wanted to predict, given enough data. We invested tens of billions behind that intuition, and I think that intuition has proven right.

I believe that there’s a new scale of computer that needs to be built, that needs to learn from basically Earth-scale amounts of data. You’ll have sensors that will be connected to everywhere on the planet, and we’ll use them to predict climate, to create a digital twin of Earth. It’ll be able to predict weather everywhere, anywhere, down to a square meter, because it’s learned the physics and all the geometry of the Earth. It’s learned all of these algorithms. We could do that for natural language understanding, which is extremely complex and changing all the time. The thing people don’t realize about language is it’s evolving continuously. Therefore, whatever AI model you use to understand language is obsolete tomorrow, because of decay, what people call model drift. You’re continuously learning and drifting, if you will, with society.

There’s some very large data-driven science that needs to be done. How many people need language models? Language is thought. Thought is humanity’s ultimate technology. There are so many different versions of it, different cultures and languages and technology domains. How people talk in retail, in fashion, in insurance, in financial services, in law, in the chip industry, in the software industry. They’re all different. We have to train and adapt models for every one of those. How many versions of those? Let’s see. Take 70 languages, multiply by 100 industries that need to use giant systems to train on data forever. That’s maybe an intuition, just to give a sense of my intuition about it. My sense is that it will be a very large new market, just as GPUs were once a zero billion dollar market. That’s Nvidia’s style. We tend to go after zero billion dollar markets, because that’s how we make a contribution to the industry. That’s how we invent the future.

Arm's campus in Cambridge, United Kingdom.

Above: Arm’s campus in Cambridge, United Kingdom.

Image Credit: Arm

Question: Are you still confident that the ARM deal will gain approval by close? With the announcement of Grace and all the other ARM-relevant partnerships you have in development, how important is the ARM acquisition to the company’s goals, and what do you get from owning ARM that you don’t get from licensing?

Huang: ARM and Nvidia are independently and separately excellent businesses, as you know well. We will continue to have excellent separate businesses as we go through this process. However, together we can do many things, and I’ll come back to that. To the beginning of your question, I’m very confident that the regulators will see the wisdom of the transaction. It will provide a surge of innovation. It will create new options for the marketplace. It will allow ARM to be expanded into markets that otherwise are difficult for them to reach themselves. Like many of the partnerships I announced, those are all things bringing AI to the ARM ecosystem, bringing Nvidia’s accelerated computing platform to the ARM ecosystem — it’s something only we and a bunch of computing companies working together can do. The regulators will see the wisdom of it, and our discussions with them are as expected and constructive. I’m confident that we’ll still get the deal done in 2022, which is when we expected it in the first place, about 18 months.

With respect to what we can do together, I demonstrated one example, an early example, at GTC. We announced partnerships with Amazon to combine the Graviton architecture with Nvidia’s GPU architecture to bring modern AI and modern cloud computing to the cloud for ARM. We did that for Ampere computing, for scientific computing, AI in scientific computing. We announced it for Marvell, for edge and cloud platforms and 5G platforms. And then we announced it for Mediatek. These are things that will take a long time to do, and as one company we’ll be able to do it a lot better. The combination will enhance both of our businesses. On the one hand, it expands ARM into new computing platforms that otherwise would be difficult. On the other hand, it expands Nvidia’s AI platform into the ARM ecosystem, which is underexposed to Nvidia’s AI and accelerated computing platform.

Question: I covered Atlan a little more than the other pieces you announced. We don’t really know the node side, but the node side below 10nm is being made in Asia. Will it be something that other countries adopt around the world, in the West? It raises a question for me about the long-term chip supply and the trade issues between China and the United States. Because Atlan seems to be so important to Nvidia, how do you project that down the road, in 2025 and beyond? Are things going to be handled, or not?

Huang: I have every confidence that it will not be an issue. The reason for that is because Nvidia qualifies and works with all of the major foundries. Whatever is necessary to do, we’ll do it when the time comes. A company of our scale and our resources, we can surely adapt our supply chain to make our technology available to customers that use it.BlueField-3 DPU

Question: In reference to BlueField 3, and BlueField 2 for that matter, you presented a strong proposition in terms of offloading workloads, but could you provide some context into what markets you expect this to take off in, both right now and going into the future? On top of that, what barriers to adoption remain in the market?

Huang: I’m going to go out on a limb and make a prediction and work backward. Number one, every single datacenter in the world will have an infrastructure computing platform that is isolated from the application platform in five years. Whether it’s five or 10, hard to say, but anyway, it’s going to be complete, and for very logical reasons. The application that’s where the intruder is, you don’t want the intruder to be in a control mode. You want the two to be isolated. By doing this, by creating something like BlueField, we have the ability to isolate.

Second, the processing necessary for the infrastructure stack that is software-defined — the networking, as I mentioned, the east-west traffic in the datacenter, is off the charts. You’re going to have to inspect every single packet now. The east-west traffic in the data center, the packet inspection, is going to be off the charts. You can’t put that on the CPU because it’s been isolated onto a BlueField. You want to do that on BlueField. The amount of computation you’ll have to accelerate onto an infrastructure computing platform is quite significant, and it’s going to get done. It’s going to get done because it’s the best way to achieve zero trust. It’s the best way that we know of, that the industry knows of, to move to the future where the attack surface is basically zero, and yet every datacenter is virtualized in the cloud. That journey requires a reinvention of the datacenter, and that’s what BlueField does. Every datacenter will be outfitted with something like BlueField.

I believe that every single edge device will be a datacenter. For example, the 5G edge will be a datacenter. Every cell tower will be a datacenter. It’ll run applications, AI applications. These AI applications could be hosting a service for a client or they could be doing AI processing to optimize radio beams and strength as the geometry in the environment changes. When traffic changes and the beam changes, the beam focus changes, all of that optimization, incredibly complex algorithms, wants to be done with AI. Every base station is going to be a cloud native, orchestrated, self-optimizing sensor. Software developers will be programming it all the time.

Every single car will be a datacenter. Every car, truck, shuttle will be a datacenter. Every one of those datacenters, the application plane, which is the self-driving car plane, and the control plane, that will be isolated. It’ll be secure. It’ll be functionally safe. You need something like BlueField. I believe that every single edge instance of computing, whether it’s in a warehouse, a factory — how could you have a several-billion-dollar factory with robots moving around and that factory is literally sitting there and not have it be completely tamper-proof? Out of the question, absolutely. That factory will be built like a secure datacenter. Again, BlueField will be there.

Everywhere on the edge, including autonomous machines and robotics, every datacenter, enterprise or cloud, the control plane and the application plane will be isolated. I promise you that. Now the question is, “How do you go about doing it? What’s the obstacle?” Software. We have to port the software. There’s two pieces of software, really, that need to get done. It’s a heavy lift, but we’ve been lifting it for years. One piece is for 80% of the world’s enterprise. They all run VMware vSphere software-defined datacenter. You saw our partnership with VMware, where we’re going to take vSphere stack — we have this, and it’s in the process of going into production now, going to market now … taking vSphere and offloading it, accelerating it, isolating it from the application plane.

Nvidia has eight new RTX GPU cards.

Above: Nvidia has eight new RTX GPU cards.

Image Credit: Nvidia

Number two, for everybody else out at the edge, the telco edge, with Red Hat, we announced a partnership with them, and they’re doing the same thing. Third, for all the cloud service providers who have bespoke software, we created an SDK called DOCA 1.0. It’s released to production, announced at GTC. With this SDK, everyone can program the BlueField, and by using DOCA 1.0, everything they do on BlueField runs on BlueField 3 and BlueField 4. I announced the architecture for all three of those will be compatible with DOCA. Now the software developers know the work they do will be leveraged across a very large footprint, and it will be protected for decades to come.

We had a great GTC. At the highest level, the way to think about that is the work we’re doing is all focused on driving some of the fundamental dynamics happening in the industry. Your questions centered around that, and that’s fantastic. There are five dynamics highlighted during GTC. One of them is accelerated computing as a path forward. It’s the approach we pioneered three decades ago, the approach we strongly believe in. It’s able to solve some challenges for computing that are now front of mind for everyone. The limits of CPUs and their ability to scale to reach some of the problems we’d like to address are facing us. Accelerated computing is the path forward.

Second, to be mindful about the power of AI that we all are excited about. We have to realize that it’s a software that is writing software. The computing method is different. On the other hand, it creates incredible new opportunities. Thinking about the datacenter not just as a big room with computers and network and security appliances, but thinking of the entire datacenter as one computing unit. The datacenter is the new computing unit.

Bentley's tools used to create a digital twin of a location in the Omniverse.

Above: Bentley’s tools used to create a digital twin of a location in the Omniverse.

Image Credit: Nvidia

5G is super exciting to me. Commercial 5G, consumer 5G is exciting. However, it’s incredibly exciting to look at private 5G, for all the applications we just looked at. AI on 5G is going to bring the smartphone moment to agriculture, to logistics, to manufacturing. You can see how excited BMW is about the technologies we’ve put together that allow them to revolutionize the way they do manufacturing, to become much more of a technology company going forward.

Last, the era of robotics is here. We’re going to see some very rapid advances in robotics. One of the critical needs of developing robotics and training robotics, because they can’t be trained in the physical world while they’re still clumsy — we need to give it a virtual world where it can learn how to be a robot. These virtual worlds will be so realistic that they’ll become the digital twins of where the robot goes into production. We spoke about the digital twin vision. PTC is a great example of a company that also sees the vision of this. This is going to be a realization of a vision that’s been talked about for some time. The digital twin idea will be made possible because of technologies that have emerged out of gaming. Gaming and scientific computing have fused together into what we call Omniverse.

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Source: https://venturebeat.com/2021/04/17/jensen-huang-interview-from-the-grace-cpu-to-engineers-metaverse-of-the-omniverse/

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