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lXLBTBBil2U | Jensen this is such an honor thank you for being here I'm delighted to be here thank you in honor of your return to Stanford I decided we'd start talking about the time when you first left you joined LSI logic and that was one of the most exciting companies at the time you're building a phenomenal reputation with some ... |
lXLBTBBil2U | thought you know why don't we build a company uh to go solve problems that a normal computer that is powered by general purpose Computing can't and and so that that became the company's Mission uh to go to go build a computer uh the type of computers and solve problems that normal computers can't and to this day uh we... |
lXLBTBBil2U | that was you know a highly specific title for a very niche market and it seems like he wrote it for like you know 14 people and I was one of them and and so I I bought the book I I should have known right away that that it was a bad idea because that you know Gordon is super super smart and super smart people have a l... |
lXLBTBBil2U | can make up a great interview you could even have a bad interview but you can't run away from your past and so have a good past you know try to have a good past and and and in a lot of ways I was serious when I said I was a good dishwasher I was probably Denny's best dishwasher um I I planned my work I was organized y... |
lXLBTBBil2U | and commercialize and then you have this Market that doesn't exist that was that intersection was the founding of our company and and I still remember uh when when Don at the end of my presentation uh you know Don was still kind of he he said you know know one of the things he said to me which made a lot of sense back... |
lXLBTBBil2U | go invent this new market and uh it's the reason why we were early in autonomous driving it was the reason why we're early in deep learning it was the reason why we're early and just about all these things including uh computational drug disc drug design and and Discovery um all these different areas we're trying to c... |
lXLBTBBil2U | couple hundred dollar I bought three books I took it back to the office and I said guys I found it our future and I handed out I had three versions of it handed out had a big nice centerfold you know the centerfold is the opengl pipeline which is the computer Graphics Pipeline and um uh and I handed it to uh the same ... |
lXLBTBBil2U | the company today and just reset ourselves you know because the world has changed and U the way we wrote software in the past was monolithic and it's designed for supercomputers but now it's disaggregated it's you know so on so forth and how we think about software today how we think about computers today how we think... |
lXLBTBBil2U | I and so CG was was super cool we wrote textbooks about it we started teaching people how to use it we developed tools and such um and then several several researchers discovered it uh many of the researchers here students here at Stanford was using it um many of the the engineers that that then became uh engineers at... |
lXLBTBBil2U | 're not interesting markets it's not sustainable and Nvidia went through about a decade where we were investing in this future and the markets didn't exist there was only One Market at the time was computer Graphics uh for 10 15 years the markets that fuels Nvidia today just didn't exist and so so how do you continue u... |
lXLBTBBil2U | problems uh we want to be sustainable and therefore the markets have to exist at some point but you you want you want to decouple the result from um uh from evidence that you're doing the right thing okay and so so so that's how you that's how you kind of solve this problem of investing into something that's very very... |
lXLBTBBil2U | non-existent or maybe very very far out even if you believed in it uh we we ask ourselves you know is this worthy work to do um does this Advance a field of science somewhere that matters notice this is something that I I've been talking about you know since the very beginning of time uh we ex we we find inspiration u... |
lXLBTBBil2U | you know successfully enough that it was you know this might take us somewhere and then we reasoned about the structure of deep learning and you know we're computer scientists and we understand how things work and and so we we uh we convinced ourselves this could change everything and and um and anyhow that but that's... |
lXLBTBBil2U | you know right and so you just got to check it off and and you go back to your core um and then go back to work and and then every conversations go back to the core uh keep the company focused back on the core do you believe in it did something change the stock price changed but did something else change the physics c... |
lXLBTBBil2U | you still got to explain it face face all these people and you know what they're thinking you know you you know some of them are probably thinking we're doomed uh some people are probably thinking you're an idiot and some people are probably thinking you know something else and so I um there are a lot of things that p... |
lXLBTBBil2U | is that's beneath me um now I'm not doing it I'm not doing it uh only because because of uh you know whether it's beneath me or not beneath me U if you send me something and you want my input on it and I can be of service to you and in my in my review of IT share with you how I reason through it uh I've made a contrib... |
lXLBTBBil2U | after I I work on things like that um I'm surrounded by by a lot of great people a CEO should have the most direct report rep s um uh by definition because the people that reports to the CEO requires the least amount of management it makes no sense to me that CEOs have so few people reporting to them except for one fa... |
lXLBTBBil2U | and so I have to create a circumstance where you understand the context which means you have to be informed and the best way to be informed is for there to be as little layers of information mutilation right between us and so that's the reason why it's very often that I'm reasoning through things like in an audience l... |
lXLBTBBil2U | um what happened was we have a we now have the ability to have software that can understand something they they can understand why you know what is first of all we digitized everything that was you know like for example Gene sequencing you digitized genes but what does it mean that sequence of genes what does it mean ... |
lXLBTBBil2U | reasoned through it uh what did I see how interesting what can it do very cool but then most importantly what does it mean what does it mean what does it mean to every single layer of computing because you know we're in the world of computing and so what it means is that that the way that we um process information fun... |
lXLBTBBil2U | transformation information transporting as we used to um uh what's going to be more what's going to be less uh what kind of applications you know etc etc so you can go through the entire industrial spread and ask yourself what's going to get disrupted what's going to get be different what's going to get NED you know s... |
lXLBTBBil2U | whatsoever and so you had to go back to First principles just ask yourself what kind of Machinery what what is the input what is the output what are the properties of this environment you know what what is the what is the what is the forest that this animal has to live in what is this characteristics is it stable most... |
lXLBTBBil2U | the event that after you done um everybody says you know the world was better because you were here and so I think that that to me um I live I live my life kind of like this I go forward in time and I Look Backwards so you asked me a question that's exactly from a from a computer vision pose perspective exactly the op... |
lXLBTBBil2U | on through my head as you say what challenges the list that flew by my head was so so large uh that that I was trying to figure out what to select um now the honest truth is is that when you ask that question most of the challenges that showed up for me were technical challenges and the reason for that is because that... |
lXLBTBBil2U | figure something out you ask yourself well if got do that why can't I do that and so I'm excited about those kind of things um and so that challenge is kind of a happy challenge uh some of the some of the other challenges some of the other challenges of course are industrial and geopolitical and they're social and and... |
lXLBTBBil2U | right now things are floating in space and doing things and they don't they don't obey the laws of physics um how do that requires technology Guard railing requires technology fine-tuning requires technology alignment requires technology safety requires technology the reason why planes are so safe is because you know ... |
lXLBTBBil2U | that already have products and services um to also enhance their regulation in context of in the context of AI okay but I left out this one very big one which is this the social implication of AI and how do you how do you deal with that I don't have great answers for that um but you know enough people are talking abou... |
DiGB5uAYKAg | For nearly four decades Moore’s Law has been the governing dynamics
of the computer industry which in turn has impacted every industry. The exponential performance increase
at constant cost and power has slowed. Yet, computing advance has gone to lightspeed. The warp drive engine is accelerated computing
and the energy... |
DiGB5uAYKAg | fireside chat I’m having with Ilya Sutskever co-founder of OpenAI, the creator of ChatGPT. We have 650 amazing talks from the brightest minds in academia and the world’s largest industries: There are more than 70 talks on Generative AI alone. Other great talks, like pre-trained multi-task models for robotics… sessions... |
DiGB5uAYKAg | in a sea of content we’re announcing the next generation and the perfect setting for any story. I am a creator. Building 3D experiences from snapshots and adding new levels of reality to our virtual selves. I am a helper. Bringing brainstorms to life sharing the wisdom of a million programmers and turning ideas into v... |
DiGB5uAYKAg | more floating-point operations
than to train AlexNet. The result this time – ChatGPT, the AI heard around the world. A new computing platform has been invented. The iPhone moment of AI has started. Accelerated computing and AI have arrived. Acceleration libraries are at the core of accelerated computing. These librari... |
DiGB5uAYKAg | is the best way to reclaim power and achieve sustainability and Net Zero. NVIDIA is partnering with the global quantum
computing research community. The NVIDIA Quantum platform consists of libraries and systems for researchers to advance quantum programming models, system architectures, and algorithms. cuQuantum is an... |
DiGB5uAYKAg | case of vector databases is large language models to retrieve domain-specific or proprietary facts that can be queried during text generation. We are introducing a new library, RAFT,
to accelerate indexing, loading the data and retrieving a batch of neighbors for a single query. We are bringing the acceleration of RAFT... |
DiGB5uAYKAg | . AT&T is tapping into NVIDIA accelerated computing and AI
for sustainability, cost savings, and new services. cuOpt can also optimize logistic services. 400 billion parcels
are delivered to 377 billion stops each year. Deloitte, Capgemini, Softserve, Accenture, and Quantiphi are using NVIDIA cuOpt to help customers op... |
DiGB5uAYKAg | process 300,000 videos per day. Microsoft uses CV-CUDA and VPF to process visual search. Runway is a super cool company that uses
CV-CUDA and VPF to process video for their cloud Generative AI video editing service. Already, 80% of internet traffic is video. User-generated video content is driving significant growth a... |
DiGB5uAYKAg | robotic-assisted surgery. Today, Medtronic announced that its next-generation GI Genius system, with AI for early detection of colon cancer is built on NVIDIA Holoscan and
will ship around the end of this year. The chip industry is the foundation of nearly every industry. Chip manufacturing demands extreme precision, ... |
DiGB5uAYKAg | equations
of the behavior of light passing through optics and interacting with photoresists. Computational lithography is the largest computation
workload in chip design and manufacturing consuming tens of billions of CPU hours annually. Massive data centers run 24/7 to create reticles
used in lithography systems. The... |
DiGB5uAYKAg | And the mandate to decrease carbon emissions is fundamentally at odds with the need to increase data centers. Cloud computing growth is power-limited. First and foremost, data centers must accelerate every workload. Acceleration will reclaim power. The energy saved can fuel new growth. Whatever is not accelerated will... |
DiGB5uAYKAg | and scientific computing applications. We tested Grace on a popular Google benchmark, which tests how quickly cloud microservices communicate and the Hi-Bench suite that tests Apache Spark
memory-intensive data processing. These kinds of workloads are foundational for cloud datacenters. At microservices, Grace is 1.3X... |
DiGB5uAYKAg | . I hand-delivered the world’s first DGX to OpenAI. Since then, half of the Fortune 100 companies
have installed DGX AI supercomputers. DGX has become the essential instrument of AI. The GPU of DGX is eight H100 modules. H100 has a Transformer Engine designed to process models
like the amazing ChatGPT, which stands for... |
DiGB5uAYKAg | Microsoft Azure, Google GCP, and Oracle OCI to bring NVIDIA DGX AI supercomputers to every company, instantly, from a browser. DGX Cloud is optimized to run NVIDIA AI Enterprise, the world’s leading acceleration library suite for end-to-end development and deployment of AI. DGX Cloud offers customers the best of NVIDI... |
DiGB5uAYKAg | . The generated text is beyond impressive. ChatGPT can compose memos and poems, paraphrase a research paper, solve math problems, highlight key points of a contract,
and even code software programs. ChatGPT is a computer that not only
runs software but writes software. Many breakthroughs led to Generative AI. Transform... |
DiGB5uAYKAg | Some companies need to build custom models, with their proprietary data, that are experts in their domain. They need to set up usage guardrails
and refine their models to align with their company’s safety, privacy, and security requirements. The industry needs a foundry, a TSMC,
for custom large language models. Today... |
DiGB5uAYKAg | the-art pre-trained foundation models. With the NeMo service, organizations can easily customize a model with p-tuning to teach it specialized skills like summarizing financial documents creating brand-specific content and composing emails with personalized writing styles. Connecting the model to a proprietary knowledg... |
DiGB5uAYKAg | the application. This can be a photorealistic image, a high-resolution video,
or a detailed 3D geometry. Generated assets can be imported into editing tools or into NVIDIA Omniverse to build photorealistic virtual worlds, metaverse applications, and digital twin simulations. With NVIDIA Picasso services running on NVI... |
DiGB5uAYKAg | disease targets design novel molecules or protein-based drugs, and predict the behavior of the medicines in the body. Insilico Medicine, Exscientia, Absci, and Evozyme, are among hundreds of new AI drug discovery start-ups. Several have discovered novel targets or drug candidates and have started human clinical trials... |
DiGB5uAYKAg | saving teams valuable time and money so they can focus on discovering life saving medicines. The new AI drug discovery pipelines are here. Sign up for access for NVIDIA BioNeMo Service. We will continue to work with the industry
to include models into BioNemo that encompass the end-to-end workflow of
drug discovery an... |
DiGB5uAYKAg | relighting, making eye contact, transcription, and real-time language translation. Most cloud videos today are processed on CPUs. One 8-GPU L4 server will replace over a hundred dual-socket CPU servers for processing AI Video. Snap is a leading user of NVIDIA AI for computer vision
and recommender systems. Snap will us... |
DiGB5uAYKAg | , all from the cloud. Let's take a look. Runway is making amazing AI-powered video editing and image creation tools accessible to everyone. Powered by the latest generation of NVIDIA GPUs running locally or in the cloud, Runway makes it possible to remove an object from a video with just a few brush strokes. Or apply ... |
DiGB5uAYKAg | NVLINK is up to 10X faster. H100 can reduce large language model processing costs
by an order of magnitude. Grace Hopper is our new superchip that connects Grace CPU and Hopper GPU over a high-speed 900 GB/sec coherent chip-to-chip interface. Grace Hopper is ideal for processing giant data sets like AI databases for ... |
DiGB5uAYKAg | ’s look at how Amazon uses Omniverse to automate, optimize, and plan its autonomous warehouses. Amazon Robotics has manufactured and deployed the largest fleet of mobile industrial robots in the world. The newest member of this robotic fleet is Proteus, Amazon's first fully autonomous warehouse robot. Proteus is built ... |
DiGB5uAYKAg | for USD, which serves as a common language that lets teams collaborate to create virtual worlds and digital twins. Omniverse is physically based, mirroring the laws of physics. It can connect to robotic systems and operate with hardware-in-the-loop. It features Generative AI to accelerate the creation of virtual world... |
DiGB5uAYKAg | , and simulate real driving scenarios. Omniverse’s generative AI reconstructs
previously driven routes into 3D so past experiences can be reenacted or modified. Working with Idealworks, BMW uses Isaac Sim
in Omniverse to generate synthetic data and scenarios to train factory robots. Lotus is using Omniverse to virtual... |
DiGB5uAYKAg | everyone! Planner 1:Hi Milan – great to see you, we’re in the middle of an optimization loop for our body shop. Would you like to see? Milan: Thanks – I’m highly interested. And I’d like to invite a friend. Planner 1: Sure. Jensen: Hey Milan! Good to see you. Milan: Jensen, welcome to our virtual planning session. Jen... |
DiGB5uAYKAg | Today we are announcing three
systems designed to run Omniverse. First, we’re launching a new generation of workstations powered by NVIDIA Ada RTX GPUs and Intel's newest CPUs. The new workstations are ideal for doing ray tracing, physics simulation, neural graphics, and generative AI. They will be available from Boxx... |
DiGB5uAYKAg | Then when ready to iterate or view
their integrated model in Omniverse, can simply open a web browser and log in. As projects and teams scale, Omniverse Cloud helps optimize cost by provisioning compute resources and licenses as needed. And new services and upgrades are automatically
provided with real time updates. W... |
DiGB5uAYKAg | model breakthrough. The DGX H100 AI Supercomputer
is in production and available soon from an expanding network of OEM and cloud partners worldwide. The DGX supercomputer is going beyond
research and becoming a modern AI factory. Every company will manufacture intelligence. We are extending our business model with NVI... |
cEg8cOx7UZk | welcome back everyone after the short break I know that many of you are looking forward to hearing from our next speaker Jensen Wong Jensen is at The Cutting Edge of artificial intelligence and all of the innovation technology and human capital that is needed to support it my good friend and Seer colleague John Chauvin... |
cEg8cOx7UZk | that the more famous the speaker the shorter the appropriate introduction and if I was to follow that rule I would stop right now and say Jensen Wong but I'm not going to do that um so the Oxford English Dictionary defines the American dream believe it or not it does that and it says that it's a situation where everyb... |
cEg8cOx7UZk | be congratulated on that let me just say uh he's received a lot of awards a lot of recognition Enid has received a lot of awards a lot of recognition but I should have a short introduction so I'm about to quit I'm just going to talk about one award last month he was elected as a member of the National Academy of engin... |
cEg8cOx7UZk | in technology that has occurred in the last 76 years to to hint at my age yeah um well first first of all the the transistor was obviously a great invention but what was the greatest capability that enabled was software the ability for humans to express our ideas algorithms uh in a repeatable way computationally repea... |
cEg8cOx7UZk | the cost of computing your your cost by a million times then people buy less of it and it's exactly the opposite we saw that if we could reduce the marginal cost of computing down to approximately zero we might use it to do something insanely amazing large language models to literally extract all of digital human know... |
cEg8cOx7UZk | that big long page of proteins what's the meaning of that and so we're on the cusp of all this this is just this is the miracle of of what happened and so I would it's a longwinded answer of saying John that you're absolutely right that that that that AI which was enabled by this form this new form of computing we cal... |
cEg8cOx7UZk | alone cost more than the chip this h100 the cables of connecting all those old computers that's the that's the incredible thing that we did we reinvented Computing and as a result Computing marginal cost of computing went to zero that's what I just explained we took this entire data center We Shrunk it into this one c... |
cEg8cOx7UZk | and uh from all the interactions that it's just continuously improving itself the learning process and the Train the the training process and the inference process the training process and the deployment process application process will just become one well that's exactly what we do you know we don't have like between... |
cEg8cOx7UZk | all just about everything that we do and so we're we're going to take the marginal cost of computing down to approximately zero as a result we'll do a lot more computation that causes me as you probably know there have been some recent stories that Nvidia will face more competition in the inference Market than it has ... |
cEg8cOx7UZk | is too high for the for the customers and and so a lot of a lot of competitors tend to say you know we're not into we're not into training we're into inference inference is incredibly hard let's think about it for a second the the the the response time of inference has to be really high but this is the this is the eas... |
cEg8cOx7UZk | and I show them not only what my current chip is I show them what my next chip is and I'll show them what my chip after that is and so and the reason for that is because because look if you don't if you don't make an attempt at uh uh explaining why you're good at something they'll never get a chance to to buy your you... |
cEg8cOx7UZk | you know we're we're a great standard we're in every single Cloud we're in every single computer company and so our company's architecture has become a standard if you will after some 30 somewhat years and and so that's that's really our advantage if a customer can can um do something specifically that's more cost eff... |
cEg8cOx7UZk | questions he says no I didn't look at the questions cuz I wanted to be spontaneous besides I might start thinking about it and then uh that that would be bad so we're just kind of winging it here um both of us um so I was asking when when do you think and of course it when do you think we will achieve artificial gener... |
cEg8cOx7UZk | mentioned before genes and amino acids and proteins and cells which leads to organs and you know so on so forth and so we would like to uh multim modality second is um uh greater and greater reasoning capabilities a lot of a lot of the things that we already do uh reasoning skills are encoded in common sense you know ... |
cEg8cOx7UZk | question question and answer some of it say here's a problem go work on it for a while okay tell me tomorrow and it it it does the the largest amount of computation it can do U by tomorrow you you could also say I'm going to give you this problem U you know spend $1,000 on it but don't spend more than more than that a... |
cEg8cOx7UZk | sure and and um uh but we're we're all endeavoring to make it you know better and better so I'm going to ask two more questions and I'm going to turn it over because I think there's lots of uh good questions out there the first one I was going to ask about is could you just dive a little deeper into what you see as ai... |
cEg8cOx7UZk | to understand the meaning of biology does that make sense if we can understand the meaning of biology as you guys know once we understand the meaning of almost any information that it's in the world the computer science in the world of computing amazing engineers and amazing scientists know exactly what to do with it ... |
cEg8cOx7UZk | and to to this day I use the word the phrase pain and suffering inside our company with great Glee and the reason and I mean that you know boy this is going to cause a lot of pain and suffering and I mean that in a happy way um because because you want to train you want to refine the character of your company you want... |
cEg8cOx7UZk | was designed for agility for information to be to flow as quickly as possible uh for people to be empowered by what they are able to do not what they know um and uh I and so that that's the architecture of our company um I don't remember your question but but oh oh oh oh oh oh oh I got it I got it I got it I got it uh... |
cEg8cOx7UZk | and so as soon as she finds me something that doesn't make me itch if you look at my closet the whole closet is a shirt because she doesn't want to shot for me again and so so that's why uh this is all she bought me and this is all I'm wearing and if I if I don't like the answer I can go shopping otherwise I could wea... |
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