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  • 14 hours ago
Nvidia VP of Solutions Architecture and Engineering Marc Hamilton told Fortune Brainstorm AI how the tech giant is using AI coding assistants "to be more productive."

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00:00We, of course, have hundreds of internal agentic models that we run in our AI factory.
00:06Any employee can go in and create one.
00:09However, Jensen said, when we started our own internal agentic AI factory,
00:14he said, there's three things that we're going to focus on as priorities.
00:19And those three things were actually things that are very important to NVIDIA.
00:22The first was to use our AI factory to aid code development.
00:27You heard Cursor talk about that.
00:30NVIDIA, of course, sometimes best known for our chips.
00:33We, of course, have the majority of our engineers, more than half of our engineers, are software developers.
00:38And they're all today using some sort of coding assistant to be more productive.
00:43So that's the first thing we decided to work on.
00:45The second was, of course, our hardware.
00:48We're actually developing our own agents to aid our chip designers,
00:53as well as working with our partners, Cadence, Synopsys, and others.
00:57And then finally, you know, that rack of GB300, that's 1.2 million parts.
01:04That's a huge supply chain challenge.
01:08So we're applying agentic AI to our supply chain,
01:11working with our ERP provider, SAP,
01:15which, of course, is rolling out Juul and new AI capabilities.
01:18And again, all the way down to homegrown tools.
01:21And all the way down to homegrown tools.
01:23And again, all the way down to homegrown tools.
01:24So that's what we want.
01:25We're doing this.
01:26And then we're going to do this.
01:27So that's what we're doing.
01:28But we're doing that anytime you're doing,
01:28we're going to get a chance to do this.
01:29It's not just a good thing.
01:31That's what we're doing.
01:32We're going to get a chance to do this.
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