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So you mentioned Vertex AI and you mentioned some of the awesome advancements you've made. How about we actually show our customers and partners the power of Vertex AI with NetApp Google Cloud Volumes. And to show you that, shall we do that? Let's show you that . Let's bring up Eiki Hrafnsson, VP of Engineering in NetApp Cloud Engineering team. This is a live demo. There's no, you know, fake stuff here. So Eiki. How about it? Welcome. Thank you. Thanks, George. I'm excited to show you all the incredible things you can do today with Vertex AI and NetApp Volumes. So let's pick a volume and get started. All right. Up in the corner here I see my volume. I see the internal IP address that it has and that it's an NFS share. It has some folders on it, a bunch of files. They're basically unstructured data. Now this is a demo about the generative AI capabilities of Vertex AI when mixed with NetApp Volumes. So let's look at a use case that's simple but real world. Let's imagine that we work at the marketing department of an enterprise company. We were just tasked with creating a product landing page that's supposed to be ready yesterday. Now we can have a look at all of the data that we have here and try and read through all them. But luckily, we have an AI that can sift through all of our data and find the relevant things. So let's ask Vertex AI about this topic here. Tell me about Google Cloud NetApp Volumes. The product page is about NetApp Volumes, and almost instantly Vertex AI finds all the relevant files that you can see down here. It generated a summary based on a topic on our private data, not publicly available information, and it even told us which pages it used to generate its responses. In addition to that, it's giving me key insights of each relevant file, and with a click or a prompt, I can even generate some more. Like I want to see the summary of all the relevant files here, or tell me which people are mentioned within these files. This is all possible by vectorizing our unstructured data that's sitting on NetApp Volumes. And in this case, we have both the data and the vector database indices on the volume itself, ensuring privacy for our data in the cloud. Now back to our goal here. We could go ahead and generate some more information with prompts. Or we could read all of these files and try to generate the product page. But we could also just chat with our data. So let's do that. Cool. Let's open up a chat here. I've created some suggestions just to get the conversation going, so I want to ask it first to give me two line summary of Google Cloud NetApp Volumes that I can use on a web page. Instantly replies great, that looks good. Let's do some more. What are the key features of Google Cloud NetApp Volumes? Yep. Took a second. Key benefits. These are all typical things you would find on a product landing page. And the last one. What are the top five reasons to use Google Cloud NetApp Volumes? Awesome. So we are getting all of these responses from the AI. But I want to pull it all together with some code. So let's ask Vertex AI if it can create that page for me. Can you? Can you create an HTML product page... with your responses? Cool. So. It's going to be pretty boring if I don't have an image. So let's use the Vertex AI vision API to generate an image, and I'll give it a prompt here. Let's give it the prompt cloud. Let's say cloud data storage. Artwork. Okay, cool. The HTML is back. I can have a look at that. Yep. It's using all of the things that I asked it for key benefits. Top five reasons. Great. And it's generated an image for me. That looks cool. I want to add that image somewhere in here. So I'll add it after the first headline there. So I'll ask Vertex AI if you can do that for me. Can you add the generated image below the first Headline in the page? Okay. Now. When working with code, you can both use the text model or the code chat model. It really just depends on the complexity of what you're working with. So once it generates that, I'll see if it works. Yep. Look at that. It's added the image file right after the first headline. But this is live so bear with me. Let's save this response to a file and then see what it looks like. Boom. Is that just like magic? That's pretty amazing. Well, what we've seen here, what we've seen here is the power of Vertex AI. with NetApp Volumes. We've seen vector embedding and search, conversational large language models, image generation, code generation, all on our unstructured data right on top of NetApp Volumes. What about that QR code on the top right?Hey, proof's in the pudding. If you scan that QR code, you're going to see the page that we just generated. Everything was live. Awesome. Thank you so much. It's really powerful to bring together the most advanced AI capabilities in the world, with the best unstructured data management capabilities in the world to help you make breakthrough advances so easy and simple. I would ask all of you, talk to your Google team, talk to your NetApp sales team, and let's find a way to use the power of Vertex together with your unstructured data.
George and Thomas Kurian sit down to talk about the partnership between NetApp and Google Cloud, and the cooperation on projects like Vertex AI leveraging the capabilities of Google Cloud NetApp Volumes for data storage.