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• ul”, smallCategoryLastLi: “.category-nav-small-menu > ul > li:last-of-type” }, largeSelectors: { largeContainer: “.breadcrumb01-large.breadcrumb-large-1, .breadcrumb02-large.breadcrumb-large-1”, largeContainer2: “.breadcrumb01-large.breadcrumb-large-2, .breadcrumb02-large.breadcrumb-large-2”, largeAncestors: “.breadcrumb02-large-ancestor”, largeExpand: “.breadcrumb02-large-expand” }, view01: “.breadcrumb01-view”, ghf: “.ghf-header-component”, ghfView: “.ghf-header01-view”, ghfBreadcrumb: ‘.ghf-header01-breadcrumbs’, newGHF: ‘#ghf-header’, newGHFBreadcrumb: “#ghm-breadcrumb”, globalNavLogoAnchor: “#globalnav-header-inner > a”, globalNavLogoImg: “#globalnav-header-inner > a img”, breakpointAux: UW.breakpoint.getScreenSize(), cafeHeader: “.cafe-nav-container”, cafeHeaderView: “.cafe-nav-container-inner”, cafeHeaderBreadcrumb: “.cafe-nav-breadcrumb”, heroComponent: “.hero .content.pagebed”, columnControlComponent: “#tt-content .column .row” }, _create: function () { var self = this, largeLogoWidth = parseInt($(self.options.globalNavLogoImg).css(“width”)); self.ghf = $(self.options.ghf + ‘,’ + self.options.cafeHeader); self.ghfView = $(self.options.ghfView + ‘,’ + self.options.cafeHeaderView); self.cafeHeader = $(self.options.cafeHeader); self.newGHF = $(self.options.newGHF); self.newGHFBreadcrumb = $(self.options.newGHFBreadcrumb); self.ghfBreadcrumb = $(self.options.ghfBreadcrumb + ‘,’ + self.options.cafeHeaderBreadcrumb); self.largeContainer = $(self.options.largeSelectors.largeContainer); self.largeContainerWrapper = self.largeContainer.wrap(“”).parent(); self.largeContainerClone = $(self.options.largeSelectors.largeContainer2); self.largeContainerCloneWrapper = self.largeContainerClone.wrap(“”).parent(); self.heroComponent = $(self.options.heroComponent); self.columnControlComponent = $(self.options.columnControlComponent).eq(0); self.largeContainerWrapper.remove(); self.largeContainerCloneWrapper.remove(); if(self.newGHF.length > 0) { self.largeContainer.addClass(“ghf-breadcrumb”); self.largeContainerClone.addClass(“ghf-breadcrumb-bottom ghfn-breadcrumb-bottom”); self.newGHFBreadcrumb.html(self.largeContainerWrapper); if(self.heroComponent.length > 0) { // if Hero component present self.heroComponent.prepend(self.largeContainerCloneWrapper); // add Breadcrumb inside Hero self.largeContainerCloneWrapper.css({“position” : “absolute”, “top”: 0}); } else { // else add inside column control div self.largeContainerClone.addClass(“pagebed”); self.columnControlComponent.prepend(self.largeContainerCloneWrapper); } } if(self.ghf.length > 0 || document.getElementById(“unified-masthead”)) { self.largeContainer.addClass(“ghf-breadcrumb hide-large”); self.largeContainerClone.addClass(“ghf-breadcrumb-bottom”); self.ghfBreadcrumb.html(self.largeContainerWrapper); if(self.heroComponent.length > 0) { // if Hero component present self.largeContainerCloneWrapper.css({“position” : “absolute”, “top”: 0}); self.heroComponent.prepend(self.largeContainerCloneWrapper); // add Breadcrumb inside Hero } else { // else add inside column control div self.largeContainerClone.addClass(“pagebed”); self.columnControlComponent.prepend(self.largeContainerCloneWrapper); } } else { self.largeLogoAnchor = $(self.options.globalNavLogoAnchor); self.largeLogoAnchor.after(self.largeContainerWrapper); self.largeContainer.css(“left”, (largeLogoWidth+10)); } self.smallCategoryNav = $(self.options.smallSelectors.smallCategoryNav); if (self.smallCategoryNav.length > 0) { self.smallCategoryLastLi = $(self.options.smallSelectors.smallCategoryLastLi); self.smallBack = $(self.options.smallSelectors.smallBackTo); self.smallAncestors = $(self.options.smallSelectors.smallAncestors); self.smallBack.remove(); self.smallCategoryNavUl = $(self.options.smallSelectors.smallContainer); self.smallCategoryNavUl.append(self.smallBack); for(var i = self.smallAncestors.length – 1; i >=0; i–) { self.smallAncestorNext = self.smallAncestors[i]; if(i != self.smallAncestors.length – 1) { $(self.smallAncestorNext).addClass(“indented-li”); $(self.smallAncestorNext).find(“a”).css(“padding-left”, (self.smallAncestors.length – 1 – i)*18); } self.smallAncestorNext.remove(); self.smallCategoryNavUl.append(self.smallAncestorNext); } self.smallHome = $(self.options.smallSelectors.smallHome); $(self.smallHome).addClass(“indented-li”); $(self.smallHome).find(“a”).css(“padding-left”, self.smallAncestors.length*18); $(self.smallHome).find(“a”).attr(“href”, UW.url.protocol+”//”+UW.url.host); self.smallHome.remove(); self.smallCategoryNavUl.append(self.smallHome); self.smallCategoryNavUl.remove(); self.smallCategoryLastLi.after(“
• ]]>

“).html(self.smallCategoryNavUl); } self._eventsBindings(); }, _isInTopOfBrowser: function() { var self = this; return $(window).scrollTop() 0) { $(window).bind(‘scroll’, function(){ if(!self._isSmallBP(UW.breakpoint.getScreenSize())) { if (self._isInTopOfBrowser()) { self.cafeHeader.removeClass(“ghf-collapsed”); } else { self.cafeHeader.addClass(“ghf-collapsed”); } } }); } } }; breadcrumb._create(); } })();

Dell AI Solutions

Power your advantage with the broadest Generative AI Portfolio.1

Intel® Innovation Built-in =e[t])return t;return”xsmall”}(),n={xxlarge:1600,xlarge:1600,large:1280,medium:980,small:768,xsmall:640}[a],isIE11=!!window.MSInputMethodContext&&!!document.documentMode;for(let e=0;e

• • Bring AI to your data

    Dell Technologies accelerates your journey from possible to proven by leveraging innovative technologies, a comprehensive suite of professional services, and an extensive network of partners.

  • Al-ready portfolio

    Deliver the best AI performance2 and simplify sourcing, deployment, and management of AI infrastructure with cutting edge technology designed for the Generative AI era.

  • • An Open Ecosystem of Partners

      Embrace broader toolsets and data sources across your AI workflows.

• • Validated Designs for AI

    Dell Technologies Validated Designs are tested and proven configurations designed from the start to dynamically fit needs based on specific use cases. 

  • Solution	Purpose	Benefits	Use Cases
    AI for Virtualized Environments Solution Brief Validated Design	Make running AI alongside traditional workloads easier with a joint solution from NVIDIA and VMware, using multi-instance GPUs.	Seamlessly integrate accelerated AI workloads with existing enterprise applications. Avoid creating separate AI-specific systems.	Software defined workloads. Dense Virtualization and AI workloads, HPC and performance workloads, private cloud environments.
    AI MLOps with cnvrg.io Solution Brief Validated Design	Standardize ML pipelines for a seamless transition from research to production with the Dell Validated Design for AI, developed in collaboration with cnvrg.io.	Quickly deploy optimized hardware and software stacks. Streamline ML pipelines for faster development and smoother production transitions. Confidently deploy an engineering-tested Machine learning operations (MLOps) solution.	AI workloads focused on Machine Learning, and AI Operations, Data analytics.
    Automatic Machine Learning Solution Brief Validated Design	Automate AI model training with Dell Validated Design for AI — Automatic Machine Learning (AutoML) to streamline algorithm selection, feature generation, hyperparameter tuning, iterative modeling, and model assessment.	Simplify AI model training for data scientists. Speed up AI transition to production with streamlined MLOps. Confidently deploy an engineering-tested MLOps solution.	AI workloads focused on Machine Learning, and AI Operations, Data analytics.
    Conversational AI Solution Brief Validated Design	Simplify and accelerate the adoption of advanced virtual assistants with Dell Validated Design for AI — Conversational AI optimized to facilitate seamless interaction between computers and humans through conversation.	Easily create conversational user interfaces and virtual assistants. Utilize pre-trained virtual assistants for conversational AI use cases. Enable business users and non-developers with no-code capabilities to build AI assistants.	Conversational and support use cases: (human resources, employee workspaces, banking, healthcare, search assistance, etc.)
    Generative AI: Inferencing (with NVIDIA) Solution Brief Validated Design	Simplify large language model (LLM) inferencing with a scalable and modular architecture to support various use cases.	Quickly implement pre-trained GenAI models. Generate outputs and value with a Dell and NVIDIA joint architecture.	Content Creation, Support Assistants, Natural Language Search, Process Automation, and more.
    Generative AI: Model Customization and Tuning (with NVIDIA) Solution Brief Validated Design	Learn how to re-train existing (pre-trained) GenAI models for specific use cases.	Improve GenAI model performance by customizing and fine-tuning it according to your data and use cases. Implement a joint architecture from Dell and NVIDIA.	Content Creation, Support Assistants, Natural Language Search, Process Automation, and more.
    Red Hat OpenShift AI on APEX Cloud Platform for Red Hat OpenShift Solution Brief Validated Design	Optimize and extend on-premises OpenShift deployments on the Dell APEX Cloud Platform using this DVD developed with Red Hat.	Deploy digital assistants with Large Language Models (LLM) and a Retrieval Augmented Generation (RAG) framework. Accelerate time-to-value with deep integrations and intelligent automation. Deliver performance, security, and linear scalability with bare-metal architecture.	AI workloads focused on Generative AI,  Machine Learning, and AI Operations, Data analytics. Private cloud and on-premises, dense computation and AI workloads, HPC, data centers.

  • • Take a deep dive into the world of Generative AI adoption with our exclusive virtual event series.

    • How would Dell AI Solutions work for your business?

• • What is the difference between Artificial Intelligence and Generative AI?

    Artificial Intelligence applies advanced analysis and logic-based techniques to interpret events and automate decisions, whereas Generative AI extracts more value for businesses by leveraging large data sets to generate new content, such as text, images, audio, video, synthetic data, and software code. 

• • Why is data important for Artificial Intelligence and Generative AI?

    Data fuels Artificial Intelligence and Generative AI, and its quantity and quality directly impacts the results generated. 

• • How can organizations benefit from using Generative AI?

    Generative AI has the potential to change the way organizations operate, transforming them in ways that we are only beginning to imagine. Business and IT leaders are just starting to take advantage of its many benefits including heightened productivity, cost reduction, innovation, and customer satisfaction.

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