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Key Components and Best Practices"],":type":"snowflake-site/components/title-v2"},"subheadline":{"id":"subheadline","text":"\u003Cp\u003ELearn about AI infrastructure, its key components, solutions and best practices to build scalable, secure and efficient AI infrastructure ecosystems.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"position":"center",":type":"snowflake-site/components/hero-system","appliedCssClassNames":"snowflake-hero-system-background-grad-white"},"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-4af0197d97",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","related_content":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-bd200e0ac1",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-container snowflake-responsive-container-inner-padding-small",":items":{"flexible_column_cont":{"id":"flexible-column-container-e8bec3a4af","type":"2-column-25-75","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"medium","bottomPadding":"medium","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"propertiesCSSClasses":"use-case-body","backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-abda68a773",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"text":{"id":"text-dfc4b4b3b3","additionalClasses":"page-toc","text":"\u003Cul\u003E\r\n\u003Cli data-anchor=\"overview\"\u003EOverview\u003C/li\u003E\r\n\u003Cli data-anchor=\"what\"\u003EWhat is AI infrastructure?\u003C/li\u003E\r\n\u003Cli data-anchor=\"a\"\u003EHow does AI infrastructure work?\u003C/li\u003E\r\n\u003Cli data-anchor=\"use\"\u003EKey components of artificial intelligence infrastructure\u003C/li\u003E\r\n\u003Cli data-anchor=\"benefits\"\u003EBenefits of AI infrastructure\u003C/li\u003E\r\n\u003Cli data-anchor=\"how\"\u003EHow to build an effective AI infrastructure: 6 expert tips\u003C/li\u003E\r\n\u003Cli data-anchor=\"ai\"\u003EExamples of AI infrastructure\u003C/li\u003E\r\n\u003Cli data-anchor=\"conclusion\"\u003EConclusion\u003C/li\u003E\r\n\u003Cli data-anchor=\"faq\"\u003EAI infrastructure FAQs\u003C/li\u003E\r\n\u003Cli data-anchor=\"customer\"\u003ECustomers using the AI Data Cloud\u003C/li\u003E\r\n\u003Cli data-anchor=\"resources\"\u003ERelated resources\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"experiencefragment":{"id":"experiencefragment-6abcd567bc","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons-no-title/jcr:content","configured":true,"xfModelPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons-no-title.xfmodel.json",":type":"snowflake-site/components/experiencefragment","appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"}},":itemsOrder":["text","experiencefragment"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"fundamentals-main-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-large",":items":{"container_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"overview",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-717a380316","additionalClasses":"headline-decoration","type":"heading2","lines":["Overview"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-e4f715031d","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/\"\u003EArtificial intelligence\u003C/a\u003E doesn’t exist in a vacuum. It requires a massive infrastructure behind it to make it all work — hardware, software, networking and more. Today, deploying and managing the infrastructure to power AI is an industry all to itself, as experts constantly work to develop the most effective foundations for the scalable, efficient and secure deployment of artificial intelligence solutions.\u003C/p\u003E\r\n\u003Cp\u003EHaving the right AI infrastructure is critical for the support of all stages of the AI lifecycle, whether it’s training \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/generative-ai/\"\u003Egenerative AI\u003C/a\u003E models, managing \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/machine-learning/\"\u003Emachine learning\u003C/a\u003E workflows or powering \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/business/enterprise/\"\u003Eenterprise AI\u003C/a\u003E ecosystems. In this article, we’ll explore how teams design AI infrastructures and how to put them to use in your organization to improve your AI initiatives.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container_copy_copy__480869401":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__373061683":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1444615495":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__222865509":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__455068363":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__659376865":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1500909857":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1978652079":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"rel",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"container_copy_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"what",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-df19c8e8df","additionalClasses":"headline-decoration","type":"heading2","lines":["What is AI infrastructure? "],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-9e0fe94edb","text":"\u003Cp\u003EPut simply, AI infrastructure is the sum of all hardware, software and networking components teams require to support AI workloads. AI infrastructure is more than just servers and GPUs and the algorithms running on them. It’s the entirety of these things and much more, all working together as a cohesive whole.\u003C/p\u003E\r\n\u003Cp\u003EIn addition to the above, AI infrastructure requires things such as specialized storage devices, Kubernetes management platforms, security protocols and high-speed networking interconnects. All of these are components of AI infrastructure — and all are necessary pieces of the puzzle. If one element is missing or underperforming, the entire AI ecosystem may not function at its maximum efficiency (if it functions at all). The more robust the AI infrastructure environment is, the \u003Ca href=\"https://www.snowflake.com/en/blog/ensure-ai-roi-by-understanding-its-tei/\"\u003Emore efficiently and effectively teams can train and deploy models\u003C/a\u003E.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"a",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-86cdd8afff","additionalClasses":"headline-decoration","type":"heading2","lines":["How does AI infrastructure work?"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-4f88657933","text":"\u003Cp\u003EAI infrastructure is the basis for AI operations, with its components working together behind the scenes to deliver scalable AI solutions. The vast majority of AI infrastructure implementations are cloud-based or are deployed as a service rather than existing on-premises.\u003C/p\u003E\r\n\u003Cp\u003EBuilding an AI infrastructure gets started a lot like any major IT project, beginning with hardware provisioning and planning. Decision-makers must select hardware with care, ensuring that it has the power and scalability to support the intense workloads that will be placed upon it. The next step is to select a software framework that supports the building, training and deployment of your \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/machine-learning/models/\"\u003EAI models\u003C/a\u003E.\u003C/p\u003E\r\n\u003Cp\u003EFrom here, the infrastructure platform is able to \u003Ca href=\"https://www.snowflake.com/en/blog/ai-ready-data-enterprise/\"\u003Eingest data that will be used for training and model development\u003C/a\u003E; managing this data is another key task of AI infrastructure managers. Finally, with the infrastructure in place, teams are ready to train, validate and deploy these AI models in the field.\u003C/p\u003E\r\n\u003Cp\u003EWe’ll talk more about each of these steps in the next section.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1444615495":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"use",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-a9b6bf4eae","additionalClasses":"headline-decoration","type":"heading2","lines":["Key components of artificial intelligence infrastructure"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-c42a72a350","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EAI infrastructure is composed of five key elements. Here’s a look at how each of them contributes to a whole that is greater than the sum of its parts, working together to form an effective AI ecosystem.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E1. Hardware accelerators\u003C/h4\u003E\r\n\u003Cp\u003EThe core differentiating feature of AI infrastructure is the use of GPUs (graphics processing units) and/or TPUs (tensor processing units) that can handle the massive parallel processing tasks endemic to AI workloads. These processors must be installed on high-performance servers loaded with memory, so they’re capable of supporting the large amount of data moving back and forth during training and inference.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E2. Storage solutions\u003C/h4\u003E\r\n\u003Cp\u003EThe vast amounts of data used for training AI models have to be stored somewhere, which means AI infrastructure must be designed either with large on-premises file servers or (more commonly) highly available cloud-based storage. Not only must this storage be large enough to accommodate these large volumes of data, it must also be accessible at the fastest speeds. Data stored on tape drives and the like is incompatible with AI infrastructure.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E3. Networking and connectivity\u003C/h4\u003E\r\n\u003Cp\u003EAs data moves back and forth among devices, the AI infrastructure must support this movement with minimal latency and the highest levels of throughput. Today’s AI infrastructures rely on some of the most advanced network topologies ever created.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E4. Software frameworks and tools\u003C/h4\u003E\r\n\u003Cp\u003EDevelopers require software frameworks to create their AI models. This includes a range of packages that developers use to develop AI algorithms, such as TensorFlow, PyTorch, LlamaIndex, CrewAI and LangChain. Each framework has a different focus and includes the resources needed to create a specific type of AI algorithm, along with the tools for managing and cleaning the data used in these processes.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E5. Orchestration and management platforms\u003C/h4\u003E\r\n\u003Cp\u003EOrchestration and management platforms are software systems that control the deployment of completed AI models into production. These systems include automated routines that eliminate much of the need for manual server configuration and related management activities.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1978652079":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"benefits",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-e704b6950b","additionalClasses":"headline-decoration","type":"heading2","lines":["Benefits of AI infrastructure"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-fdeadfc508","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EHow does AI infrastructure benefit your organization in day-to-day operations? These five advantages are key:\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EAccelerated model development and deployment\u003C/h4\u003E\r\n\u003Cp\u003EAI models can be developed on traditional hardware platforms, but this is usually slow, inefficient work. Highly scalable AI infrastructure can commandeer the resources it needs to power through the vast amounts of data processing required to complete a model quickly and get it into production.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EImproved scalability for large data sets and models\u003C/h4\u003E\r\n\u003Cp\u003EScaling a traditional IT infrastructure means adding stacks of storage devices and hiring the staff needed to manage them. Just as AI infrastructure can scale its processing power to meet your needs, it can also scale storage space, letting you easily add capacity for all the data your AI models will need as your operation grows.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EEnhanced security for sensitive data\u003C/h4\u003E\r\n\u003Cp\u003EAI infrastructure platforms are designed with security in mind from the outset. While traditional infrastructure may require constant patching with security updates, AI infrastructure is designed to withstand all types of attacks at every stage of the AI lifecycle. This also helps maintain \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/ai-governance/ai-compliance/\"\u003Ecompliance\u003C/a\u003E with regulations focused on AI and the data it uses.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ECost efficiency through optimized resource use\u003C/h4\u003E\r\n\u003Cp\u003EBetter scalability means fewer wasted resources and lower costs because you only pay for the resources you use. This in turn improves the ROI of your AI program while making expenses more predictable.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ESupport for advanced AI applications such as generative models\u003C/h4\u003E\r\n\u003Cp\u003EBuilding your own AI applications such as generative AI models is a complex endeavor that you can’t easily achieve within the confines of a traditional IT framework. Put simply: If you really want to explore the potential of AI, you will need an AI infrastructure on which to do it.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__455068363":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12","card_v2":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"how",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-49ced2207c","additionalClasses":"headline-decoration","type":"heading2","lines":["How to build an effective AI infrastructure: 6 expert tips"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-0da6be2753","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EReady to get started building your own AI infrastructure? Here are six key steps to get you on the right path:\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E1. Assess current needs and future growth plans\u003C/h4\u003E\r\n\u003Cp\u003ENo successful AI initiative has ever been launched without a solid understanding of what the organization needs now and where it wants to go. This initial planning step also includes setting budgets in addition to determining the specific problems you are hoping to address with AI.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E2. Choose suitable hardware accelerators and storage options\u003C/h4\u003E\r\n\u003Cp\u003EOnce you know the problem(s) you are hoping to solve, your provider can help guide you to the hardware and storage options that would be best for your specific use cases. For example, experts generally consider GPUs better for gen AI training, while TPUs are often a better fit for machine learning tasks.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E3. Select compatible software frameworks and orchestration tools\u003C/h4\u003E\r\n\u003Cp\u003EDifferent AI frameworks excel at different tasks; you can’t just pick one and expect it to handle all your AI needs out of the box. Selecting the ideal framework and its related orchestration system is a key decision that requires the input of seasoned experts who understand the nuances of each available option.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E4. Implement security protocols from the start\u003C/h4\u003E\r\n\u003Cp\u003EDon’t get caught playing catch-up on security. Your service provider will have countless security resources available for you from the start. Make sure you understand how they work and that they are properly implemented.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E5. Test scalability under real workloads\u003C/h4\u003E\r\n\u003Cp\u003EScalability and performance under load can and should be stress-tested before a model is put into production. Spin up workloads that approximate what you expect real-world demand to look like — and then some, perhaps, to see how your AI infrastructure performs. If you’ve done all of the above properly, it should have no trouble managing very heavy workloads without choking.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E6. Continuously monitor and optimize performance\u003C/h4\u003E\r\n\u003Cp\u003EYour AI workloads will not live in isolation; teams must constantly monitor them as they undergo real-world usage. If performance begins to lag, that’s your cue to reevaluate the infrastructure decisions that you’ve made and consider changes to improve performance and efficiency.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"},"card_v2":{"id":"card-v2-025fd36aa0","configurationStatus":{"configured":true,"message":""},"text":{"id":"text","text":"\u003Cp\u003EFor organizations whose enterprise data lives in SAP, that integration challenge is central. See how Snowflake and SAP help solve it.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"horizontal","title":{"id":"title","type":"heading4","lines":["SAP and Snowflake: Powering Enterprise AI with Unified Data and Context"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/sap-enterprise-ai-unified-data-context/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Download ebook now"},"image":{"id":"image","isLcpImage":true,"lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--a9657870-3866-43df-8ab1-41d880f47d76/snowflake-sap-cover.png?quality=85&preferwebp=true","alt":"Cover of a Snowflake and SAP report titled Snowflake and SAP: Powring Enterprise AI with Unified Data Context","width":"1313","height":"851",":type":"snowflake-site/components/image"},"type":"content-card",":type":"snowflake-site/components/card-v2"}},":itemsOrder":["title_v2","text","card_v2"]},"container_copy_copy__222865509":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"ai",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-a558086d85","additionalClasses":"headline-decoration","type":"heading2","lines":["Examples of AI infrastructure"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-8a892d0b01","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003ECurious how AI infrastructure works in the real world? Consider these examples:\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EDeep learning with high-performance systems\u003C/h4\u003E\r\n\u003Cp\u003EAutonomous vehicles are the perfect example of \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/machine-learning/deep-learning/\"\u003Edeep learning\u003C/a\u003E being applied on high-performance systems, as automobiles have zero margin for error when it comes to safety. In self-driving cars, data is continuously collected from thousands of vehicles for training on \u003Ca href=\"https://www.snowflake.com/en/artificial-intelligence/machine-learning/neural-network/\"\u003Eneural networks\u003C/a\u003E, driving continuous improvement.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EScaling AI on cloud\u003C/h4\u003E\r\n\u003Cp\u003EConsider a financial fraud detection system, which relies on high-speed, cloud-based infrastructure to capture anomalous events in real time. The infrastructure must be able to scale with consumer spending, capturing transactions seamlessly, whether it’s a slow Tuesday morning or the start of the holiday rush.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EEnterprise AI for insights\u003C/h4\u003E\r\n\u003Cp\u003EOnline sellers crunch the numbers constantly to determine what’s trending and what’s running cold. This kind of analysis is an ideal use case for enterprise AI infrastructure, with rapidly produced insights allowing sellers to change course with a moment’s notice.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__659376865":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"conclusion",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-9857094628","additionalClasses":"headline-decoration","type":"heading2","lines":["Conclusion"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-36cc6e5d18","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EA scalable, secure and integrated infrastructure is essential for supporting successful AI initiatives at the enterprise level. By combining flexible technology platforms with strong security measures and streamlined workflows, organizations are able to embark on rapid experimentation, streamlined model deployment and effective management of those models — ultimately fostering innovation, enhancing operational efficiency and helping maintain compliance.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1500909857":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","simple_snowflake_acc":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"faq",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-1865367e2d","additionalClasses":"headline-decoration","type":"heading2","lines":["AI infrastructure FAQs"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"simple_snowflake_acc":{"id":"simple-snowflake-accordion-d594718726","showDivider":false,"accordionItemsList":[{"title":"What is the difference between AI infrastructure vs. IT infrastructure?"},{"title":"What are the seven main areas of AI?"},{"title":"Who builds AI infrastructure?"}],":type":"snowflake-site/components/simple-snowflake-accordion","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","simple_snowflake_acc"]},"container_copy_copy__480869401":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"customer",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-8067becdd1","additionalClasses":"headline-decoration","type":"heading2","lines":["Customers Using the AI Data Cloud"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"flexible_column_cont":{"id":"flexible-column-container-c7a385c617","type":"2-column-even","alignColumns":"match-height","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-d3168cae46",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"card_v2":{"id":"card-v2-0b39729a04","configurationStatus":{"configured":true,"message":""},"text":{"id":"text","text":"\u003Cp\u003EWith Snowflake as its foundation for agentic AI, Simon Data helps marketers boost revenue by delivering contextual personalization at scale — all without moving data or impacting governance.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"vertical","title":{"id":"title","type":"heading4","lines":["Simon Data Evolves Marketing with Composable AI Agents Built on Snowflake Cortex AI"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"/en/customers/all-customers/case-study/simon-ai/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Read more"},"image":{"id":"image","isLcpImage":false,"lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--f918755e-93fb-45e4-92fd-4adf33955e62/simon-data-customer-card%25402x.jpg?quality=85&preferwebp=true","alt":"simon data logo","width":"1680","height":"720",":type":"snowflake-site/components/image"},"type":"content-card",":type":"snowflake-site/components/card-v2"}},":itemsOrder":["card_v2"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-0ca2134540",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"card_v2_copy":{"id":"card-v2-0b32c6009c","configurationStatus":{"configured":true,"message":""},"text":{"id":"text","text":"\u003Cp\u003EPenske turned to Snowflake’s AI platform to easily and securely harness the power of generative AI — delivering operational efficiency and improving associate safety and retention across two product lines.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},"layoutStyle":"vertical","title":{"id":"title","type":"heading4","lines":["Penske Drives Excellence and Efficiency with Gen AI Using Snowflake Cortex"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/customers/all-customers/case-study/penske/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Read more"},"image":{"id":"image","isLcpImage":false,"lazyEnabled":true,"src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--935d815b-86aa-4a03-867e-4b79c85f3c11/penske-customer-card.jpg?quality=85&preferwebp=true","alt":"penske logo","width":"2520","height":"1080",":type":"snowflake-site/components/image"},"type":"content-card",":type":"snowflake-site/components/card-v2"}},":itemsOrder":["card_v2_copy"]},"isBlogPage":false,"isActiveTOC":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["title_v2","flexible_column_cont"]},"container_copy_copy__373061683":{"gridClassNames":"aem-Grid aem-Grid--12 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