you know what we're doing here in this special address is give is just giving you a glimpse of all the great work that you have done with us you know it's really about the work that we're that you were doing that we ideally helping you enable this is really about um working with companies working with government agencies to help the US lead in AI to help democ AI we can't stop trying to find ways to improve our planet and Humanity performance is going to continue to need to go up I'm just here to tell you
that we're designing our systems with not just performance in mind but with Energy Efficiency in mind it's going it's going to mean that we're going to need data centers that understand this accelerated Computing infrastructure um it's going to mean that we understand and approach things not just from a ship level but from a full stack level because we don't just try to optimize the chip we're no longer just optimizing the GPU we're optimizing the system we look at a full full stack approach of how the system operates the environment in which that system operates and
the software stack that runs in the system and with that in mind that's how we spent years developing our blackw platform the amount of technology in here is just it's it's a Marvel of engineering um all of these all of these components um you know we we purposely build these racks of computing trays we we we make sure that those racks of computing trays work together and on top of that platform I mentioned fullstack platform you know this is this is not the this is the AI super cluster platform the real platform and the Cuda
a libraries our software acceleration libraries and then to further Advance work in AI um in physical AI we hon our two main platforms Nvidia AI Enterprise with our microservices our large language models and Omniverse our digital twin you know where we use the virtual world to improve the physical world we've achieved 100% 100,000x reduction in energy over the last 10 years 100,000x and that's on the impressing side so the generation of tokens is on the uh industry side on the training side I think we reduced energy consumption by 200x but Blackwell is coming it's in
production and of biggest and best systems are uh uh will be shipping here in this next quarter we're moving from instruction Le Computing to intention Le Computing and that software has to be new um we have to be able to to talk to our computers to ask questions um this is this is going to be the second part of what's going to drive this Industrial Revolution probably one of the most important parts um we've got years of skills here and the amount of energy we have more software people in Nvidia working here um than we
do Hardware people for this reason um the instead of the computer being a tool that you use to get stuff done the computer is now going to be able to generate intelligence generate skills so let's take an example of a manufacturing floor you might have vory AI agent that's constantly moding to your inventory it notices that you got excess capacity but your floor is not taking advantage of that excess capacity they're working on a plan to produce X number of widgets today that AI agent can communicate with the factory floor agent that factory factory floor
agent can help accelerate the continued building versus sending people home early or whatever continue to build which then communicates with the purchasing AI agent to re be replenishing the materials at a rate and you can do in minutes what used to take days so this this era of agentic AI is really going to transform a lot of different Industries we've already seen examples of some horizontal use cases uh where digital avatars are used um to improve the way we talk to customers to improve the way we uh enable our employees um to be more productive
we've seen some great examples in the past um on uh content generation whether it be um texts images videos now um a lot of great work in product R&D not just in healthcare what we show there but three that you see there are three uh three things that I want to talk about in a minute and we can use that use that AI agent since it is proactive since it's not waiting for you to prompt it to see if you have an issue we can use that AI agent to let you know you have an
issue that you have a vulnerability we want to enable you all to incorporate your data because you know you're you're not going to optimize your supply chain on chap GPT alone you're probably going to take a smaller model you're going to find tune it you're going to find tune it maybe in your particular industry and you're going to f tune it for your particular corporation because you have different semantics different lingo right training the AI makes sure that you expose it to the way that your company or your organization is able to interpret it that
reduces hallucinations right that that makes it tailored but you still don't stop there you don't look back and train it you've got to continually expose it to new data new intelligence that data is intelligence and Company people's people are intelligence so really happy to announce our nage and blueprints um it's a way to connect your data fly will your data fly well to a bunch of different reference workflows we're not an application company we provide reference examples based on some of the most um often asked workflows that our customers that you bring to us some
of the biggest pain points and some of the ones we care about the most improving customer satisfaction employees satisfaction getting smarter better safer products to Market helping companies cure some really really horrible diseases and protecting our government IP our personal IP and having a strong AI ecosystem to lead the world he looks real he's not real but James a blueprint that's available on build. nvidia.com is going to tell us a little bit more about all the blueprints that we have agses mod devent impr en when you transmit data it's encrypted mostly safe mostly safe but
llms are plain Tex you're going to train an llm or small language mod slm it's plain text everything you said is in plain text that knowledge is in plain text Nvidia is the only provider to implement confidential Computing to protect those llms and that's the only way protecting your crown jewel um to deliver secure and trustworthy AI um people could try to uh the encryption codes on where data is moving but I think we all can imagine it's much easier to read a word file than it is a you know an encrypted file you know
primarily to date we've really affected the IT industry we've affected the electron part of this and the next step is to affect the proton part of this the physical world we know that robots can help save lives do jobs to make it safer for manufacturing employees to work um they can be they could be assistant to people with disabilities um we know um multiple organizations are are um talking about the need that we'll have A4 million do four million jobs created in the next several years we're not sure where that Workforce could come from some
of it might come from the jobs that are are too dangerous with robots some of it and I hope a lot of it comes from our ability to upscale our current Workforce what if we could train a robot on the manufacturing process in the virtual world train them in the virtual world train it at scale don't train one one autonomous machine one car one robot one at a time in the physical world train millions of them train millions of them virtually using that agentic AI knowledge that they need to have to reason and learn train
them in the second computer to simulate how they operate throwing out a multitude of conditions bad and good and when we have success we take that neural net and we put it in a third computer we put it in the car we put it in the submersible we put it in the Drone we put it in the human humanoid so Omniverse is our way um really to test and optimize uh people's design and all the operational processes that go to producing this these physical AIS it's a virtual treating G real world Radio Networks 5G 6G
um we're now using Nvidia aerial ran um to improve both the transmission the location of powers and the utilization of how these networks um exist we're announcing that se is releasing their first real-time search for fast radio burst you're probably saying what are fast radio burst se's mission is dedicated for searching for life in the universe you know they use our hollan Edge platform that third computer they use that third computer to listen to signals from deep space fast radio bursts are one of those kinds of signals but they happen so fast they happen in
fractions of a millisecond fractions of a second so the only way they they know they happen is they go back to this stored telescope array data they see it happen but it's long gone it's long gone we have no idea really where it came from and so the ability to spot these things in real time is really accelerating our ability to find the source identify the source analyze these frequencies you can assume what these frequencies might be but the amazing thing about them is not that there are radio frequencies coming from distant galaxies that the
energy coming from these distant galaxies are brighter than some of the galaxies in our universe a fast radio burst of milliseconds is producing energy that's greater than the energy produced by some of our galaxies so really excited about that as a space guy I'm excited about that you might be saying so what but it's a massive application um to help us understand not just about our planet but what might be out there what might be out there as we go beyond Mars
