- The annual GTC conference at NVIDIA concluded on Friday after a week of exclusive paintings and events.
- The most prominent technology exhibition for a week of developments in artificial intelligence, robots and quantum computing.
- Here are five main points that you should take away if you miss the GTC celebrations this week.
Super Bowl of Tech was held this week in San Jose, where he drew fans from all over the world to marvel at progress throughout the industry that was shown during the annual GTC conference in NVIDIA.
While NVIDIA GTC-i.e. a shortcut to the GPU-Technology Conference since 2009, has hosted the event over the past and a half decade to highlight not only the progress of semiconductors, accelerating computing, artificial intelligence, but also robots, self-auto and technology that is heading in the future such as quantitative calculation.
“People have noticed that the feeling of GTC has already changed,” CEO Jensen Huang said at a press conference on Thursday.
It is right, the event He has It changed.
If you are not able to attend GTC this year, here is what you missed.
Artificial intelligence is a great work now, the risks are higher
In GTC Keynote last year, Huang mentioned the word “revenue” once. This year was mentioned 10 times. The message was that it was time for everyone in Amnesty International’s ecosystem – not only NVIDIA – to earn money.
In his main speech, Huang emphasized the development of NVIDIA from the Kaqat company to the Amnesty International Infrastructure Company that sells “artificial intelligence factories”.
As described, artificial intelligence factories produce intelligence, and the most productive factory should be the most successful. Huang said the quality of the artificial intelligence factory for each company will have a significant impact on its total revenue. This applies to any industry, whether it is traditional in “technology” or not.
“Every industry is here. Every country is here, and every company here is because we have become a founding company through which other companies are built,” Huang told reporters on Thursday.
Nvidia in the middle of the environmental system of Amnesty International
Since NVIDIA technology allows most innovation in artificial intelligence today, it also puts the tape of what is possible – how connected engineers can apply their imagination. The next round of the architectural engineering of the chips that Huang described in its main title a small prize from the audience in the room due to energy and performance demands.
The cloud companies and artificial intelligence developers at the BI conference told the ecosystem that still surrounds its head about what the tremendous developments in the performance of the chips will mean for what the developers can build and what other players need in the infrastructure ecosystem. For this reason, Huang explained, the company announced several generations simultaneously.
“Now anyone can plan,” he said at a press conference on Thursday. “On the old days, you are building chips. Someone buys a slice, puts them in the computer, sells a computer. What we are doing now is to build an infrastructure that has been published hundreds of billions of dollars at the same time, so you can do good planning for work.”
He chose the rhythm of innovation of artificial intelligence
There was a urgency in the San Jose Conference Center halls, probably due to bottled tables and long lines. But the pace of creating the artificial intelligence model has also accelerated, and in side conversations, press conferences and paintings that were refrained were that every new model lasts about six months.
Dion Harris, director of Nvidia, chief manager of Nvidia Computing Computing and Ai Factory Solutions, Business Insider said that one of the most important stakeholders who spend time with them in his daily work is the advanced researchers. They are closer to what will happen after that and they can lead more valuable, for example, than the artificial intelligence factory model, in the future.
Robots are coming, but they haven’t yet been here
The exhibition hall was distinguished by a variety of self -driving robots and cars to confirm what Huang said in the keyword.
Huang described robots as alternative to human work in a lack of offer, and the key that can make every self -driving car and basic technology in taking physical action on a lot of intelligence that we can create today.
“Artificial intelligence and physical robots move very quickly, everyone, pay attention to this space. This is likely to be the largest industry ever,” Huang said in his main speech.
It is important that the automatic future be Nafidia as the benefit of artificial intelligence to understand the material universe and take measures in three dimensions that will require a huge amount of account. and If the Titan supplier remains the computing power that is today, it is expected to upload the NVIDIA file further because it becomes the basis of a new industry. But many of the robots offered in the comfortable center emerging in their capabilities or are still under development.
NVIDIA has announced a new open -source thinking model aimed at speeding up the development stages on Tuesday. The new model can make robots able to adapt to the various tasks and environments immediately.
“This will make it applicable,” Lipparidian Priest, Vice President of NVIDIA, told omniverse and simulation. “We can finally build an industry around it.”
Quantum computing is officially on the scene
Once it is considered a far technique (even by Huang himself, who recently suggested that we are 20 years of technology “very useful”, ” Send the shares landingThe quantum computing of the GTC has been justified for this year.
NVIDIA hosted its first day of the quantity, dedicated to the presentation of the prosperous technology that researchers say can help in discovering new drugs and developing new chemical compounds, or Break the encryption methodsOther results.
Huang started the quantity day by announcing his mistake just months before welcoming three paintings from CEOs from various quantum computing companies to explain the reason why quantum treatment is the next limits for the technology sector.
Although progress in this field was historically slow due to the deep technical problems in correcting errors and expansion, GTC showed this year the momentum that was built behind the scenes of giants such as Microsoft, Amazon Web Services and Google, as well as less known players such as D-Wave, IonQ and Rigetti.
Huang said on the stage that this was the first quantitative day for many to come in GTC, which indicates that the NVIDIA conference will provide space for new developments in this field.
“Next year we have some quantum illustrations in GTC,” Huang said on Thursday.
