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NVIDIA & Eli Lilly: The AI Revolution in Drug Discovery | Jensen Huang & David Ricks
NVIDIA· 2026-02-02 17:26
Hello. It's great to see all of you. You know, once a year I get the benefit of thanking all of you for the incredible work that you do.As you know, we pioneered a new way of doing computing called accelerated computing. And we've been working on this for now 33 years. The big idea, the big idea is that if you could co-design, meaning if you understood the problems you're trying to compute for, and you developed the entire stack, meaning the algorithms, the computers, and the processors within it that if yo ...
Future of GPU Computing
NVIDIA· 2026-01-30 20:32
And I think the big price that we are both after is in the future when GPUs can be applied not just to specialized inference on top of foundation models but also to things like data computation which is what we specialize in. So I think we're very much in the early innings of how are GPUs how is accelerated computing going to impact a lot of things that Snowflake does. [music]. ...
3 Pillars of Infrastructure
NVIDIA· 2026-01-30 20:32
From my perspective, there are three things th at make this infrastructural cycle different: number one is the fact that there has been seamless adoption, number two is high utilization and number three is the amount of funding and the amount of very well financed capital that is going into this infrastructure. ...
AI Stakes in Healthcare
NVIDIA· 2026-01-30 20:32
I think there's the [music] training of the models, but there's also all things related to inference. And that's where Nvidia stack [music] um is a boon for us because fitting into the workflow means that there's uptime, you [music] know, concerns, there's latency concerns in addition to all the concerns around accuracy, >> right. Inference is a very complex problem actually.>> Yeah, exactly. And you don't get [music] a retry, you know, with with patient care especially like the stakes are high enough that ...
Open-Source AI Momentum
NVIDIA· 2026-01-30 20:32
A change in the environment [music] that's happened over this past year that a lot of folks in our portfolio um are [music] taking advantage of is increasing availability of competitive open-source models. ...
Reimagining the Future of Financial Services with AI Factory
NVIDIA· 2026-01-30 17:36
The financial industry is undergoing a fundamental transformation. Every financial decision is becoming smarter because it's powered by AI that learns, reasons, and acts like never before. This new industrial revolution of intelligence is being built, refined, and deployed at scale on a new kind of digital infrastructure, the AI factory.These factories are helping to shape the world's financial future by manufacturing intelligence from data to improve every financial service. Breakthrough AI technologies ar ...
140 Years of Innovation: Jensen Huang Congratulates Mercedes-Benz
NVIDIA· 2026-01-29 18:00
Hello, everyone. I'm delighted to be here with my friend, Ola, to celebrate this Mercedes special anniversary event. For 140 years, Mercedes-Benz has set the standard in the automotive market, building cars defined by exquisite craftsmanship and safety engineering.Five years ago, NVIDIA began working with Mercedes-Benz to help carry that legacy into the AI era. But achieving this future requires the combined strength of both our companies. Excellence in deep learning and robotics, as well as in safety engin ...
Perfecting the Factory
NVIDIA· 2026-01-29 00:30
together with Nvidia and the Omniverse uh tool uh you of course build the factory in the virtual world before you even pour one bit of concrete. So you can have actually produced cars in the virtual world completely before you build the factory then you can debug it digitally using AI tools. So once you actually get into the hardware, uh it's almost like it's perfect and that will make it also faster and less expensive to build. ...
One Brain for Any Robot
NVIDIA· 2026-01-29 00:27
We are building a general purpose brain for robotics. When I say general purpose, it often gets discounted. It's a general AI model.But it's a general model across robot hardware. You put the same brain on a human-like robot, humanoids. Same brain on a doglike robot, quadripeds. Same brain on an arm, on an AMR base, in a factory.So why do we go so general. There are two reasons we do it. First is if you think of robotics as an area, what comes first to your mind. If you think of language models, you think o ...