The following is excerpted from the question-and-answer section of the transcript.
(Questions from industry analysts are provided in full, but answers are omitted - download the transcript to see the full question-and-answer session)
Question: Harlan Sur - J.P. Morgan Securities LLC - Analyst
: Oftentimes for myself, the sell-side analysts that cover NVIDIA, especially when it comes to the vertical industry segments like healthcare, your
customer base, your partner base is so diverse, large pharma companies, small tech bio companies, educational institutions, research organizations.
Your platform approach has meant full stack solutions for most programs, big or small, on-prem, hybrid, cloud-based, on the hardware side, DGX,
compute on-prem, DGX Cloud, et cetera.
And then on top of that, you've got your software stacks, right? You've got base command, enterprise AI, software stacks. You've got NIMs. And
then you have your different vertical industry sort of frameworks like Clara, BioNeMo, MONAI, Holoscan. I think we often wonder, how does someone
like yourself managing the vertical industries, like how do you map all of these monetization opportunities to your hardware and software programs,
right?
So can you give us a sense for the mix of your business? Is it mainly subscription cloud-based type of engagements on the hardware side? Or are
most of your customer engagements on-prem hardware-based systems? And what is the subscription license attach of your software and off-the-shelf
frameworks?
Question: Harlan Sur - J.P. Morgan Securities LLC - Analyst
: There has been a lot of discussions back at the earnings call, back at, as you mentioned, CES about the opportunities in agentic AI and multi-agent
systems that address the challenges of workforce shortages, rising healthcare costs. You announced here, right, your efforts with IQVIA to accelerate
research using AI agents. Like what else is NVIDIA doing in this fast-growing subsegment of digital health agents?
Question: Harlan Sur - J.P. Morgan Securities LLC - Analyst
: One of the big unveils at your developers conference last year called GTC was physical AI. You touched upon it in your presentation. Jensen talked
about it at the recent Consumer Electronics Show. Models that perceive, understand, interact with the physical world with one of the use cases
being to train AI robots, right? Omniverse is the team's platform to simulate virtual physical roles that adhere to the laws of physics and is used to
train robots.
We saw the add-on capabilities with the announcement of Cosmos. Again, you talked about it, right, again, focused on physical AI. We can extend
this to healthcare where robots can be used to assist in complex surgery, medical procedures. Training these robots in a virtual environment reduces
risk, as you mentioned, associated with real-world trials.
It seems like you guys have actually adopted Omniverse Cosmos like framework, but whereas Jensen will talk about Omniverse and Cosmos,
building simulation, automotive simulation and so on, right? What's the framework for building Omniverse and Cosmos from a healthcare perspective?
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JANUARY 13, 2025 / 5:45PM, NVDA.OQ - NVIDIA Corp at JPMorgan Healthcare Conference
Question: Harlan Sur - J.P. Morgan Securities LLC - Analyst
: Well, we're just about out of time. Kimberly, thank you for your participation. We look forward to monitoring the execution of the team.
Question: Harlan Sur - J.P. Morgan Securities LLC - Analyst
: Thank you very much.
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