• Dell Artificial Intelligence Solutions

    Dell AI Solutions

    Power your advantage with the broadest Generative AI Portfolio.1

    Intel® Innovation Built-in
    • 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.

    • Dedicated to designing solutions and staying on the leading edge of new and emerging technologies, the Lab can help you keep pace with the constantly evolving landscape.

    • Leverage this network of resources based on the wide-ranging experience of technology developers, service providers and industry subject matter experts.

    • Download guides, white papers, solution briefs and blogs for data-centric workloads, HPC, containers, VDI, Safety and Security, AI, and data analytics.

    • PowerEdge Servers for AI

      With GenAI, turn ideas to action faster using our AI-optimized PowerEdge Servers.

      • PowerEdge XE servers offer superior acceleration and diverse GPU options.
      • PowerEdge R760xa boasts high PCIe card density.
    • Storage for AI

      Protect your data and handle massive amounts of unstructured data with a flexible and scalable storage solution.

      • Purpose-built to handle large volumes of data with exceptional performance.
      • Optimize your AI foundation with a scalable data platform.
      • Realize ROI for AI and GenAI investments.
    • Data Management for AI

      Unlock your data from edge, to core, to multicloud, to drive your analytics, AI, and GenAI workloads.

      • Simplify locating, accessing, and processing data across environments.
      • Enable quicker access to data to speed model tuning and business outcomes.
      • Leverage a turnkey experience that simplifies purchase, deployment, and lifecycle management.
    • PCs and Workstations for AI

      Harness the power of AI with new PC architecture.

      • Experience AI-accelerated content creation, photo enhancement, video editing and more.  
      • Simplify AI development, from prototyping, fine-tuning and deployment of GenAI workloads with Precision workstations.
    • APEX for Generative AI

      Unlock the capabilities of multicloud design and AI seamlessly with the convenience of customized subscriptions and as-a-Service solutions powered by Dell APEX.

      • Subscribe to the products you need with greater simplicity, agility, and control.
      • Choose your preferred GenAI product, easily configure its capabilities, and specify your needed services.
    • Professional Services for AI

      Accelerate the power of AI for your data.

      • Create and validate your GenAI roadmap while delivering innovation with an established GenAI platform.
      • Accelerate time to value for prioritized business needs.
      • Advance GenAI capabilities throughout your organization.

      • An Open Ecosystem of Partners

        Embrace broader toolsets and data sources across your AI workflows.

      • Bringing Generative AI to your organization

        Discover how your business can leverage the potential of GenAI through Dell insights, solutions, and strategies for harnessing its transformative capabilities.

      • Validated and Reference Designs for GenAI

        Dell helps you streamline planning, deployment, and testing, to support various GenAI use cases with scalable components that can be tailored to your specific needs. Dell Validated Designs have the additional benefit of being pre-tested, modular solutions that are co-validated by Dell Technologies experts and partners. 

      • Validated Design for Inferencing

        Inferencing involves utilizing pre-trained AI models to produce predictions, make decisions, or generate outputs based on input data. This process is essential for the practical implementation of GenAI, enabling real-time content generation and responses.

        Generative AI: Inferencing (with NVIDIA)

        Addresses inferencing challenges such as latency, responsiveness, and computational demands helping transform enterprise data into high value, smarter outcomes. 

      • Validated Design for Model Customization and Tuning

        Fine tuning is the process in which businesses can add domain-specific data from their vertical into a pre-existing large language model (LLM) enabling it to perform deeper specialized dives into information pertinent to the business.

        Generative AI: Model Customization and Tuning (with NVIDIA)

        Lowers costs around optimization with proven guidance on re-training existing GenAI models for your use cases and examples of standard customization techniques such as transfer learning and prompt tuning.

      • Reference Design for Model Training

        Training a model from scratch is your best choice if your industry is highly specialized and has a considerably unique vocabulary - such as legal, medical, or scientific – or your business requires a high level of privacy where intermingling publicly and privately sourced data is forbidden.

        Generative AI: Model Training (with NVIDIA)

        Delivers guidance on how to create a language model based on your own data that understands and can generate content relevant to your specific industry.

      • Reference Design for Retrieval-Augmented Generation (RAG)

        Large Language Models (LLMs) can deliver human-like responses, but they need accurate information to base their answers on. RAG is a technique to ingest information and deliver more precise and trustworthy answers for LLMs with facts fetched from external sources.

        Generative AI: Retrieval-Augmented Generation (with NVIDIA)

        Simplifies deployment of a full-stack architecture using NVIDIA Microservices and a scalable information embedding and retrieval framework for language models.


      • Customer Showcase

      • STATE & LOCAL GOVERNMENT

        City of Amarillo

        City of Amarillo works with Dell Professional Services to make community services more accessible with a multilingual digital assistant.

      • TRANSPORTATION

        Duos Technologies

        Duos Technologies improves railroad safety running AI algorithms at the Edge on PowerEdge servers.

      • MEDIA & ENTERTAINMENT

        CyberAgent

        CyberAgent develops Japanese Generative AI to transform digital advertising service. 

      • MEDIA & ENTERTAINMENT

        Taboola

        Using AI to deliver relevant and precisely targeted content.

      • SCIENTIFIC RESEARCH

        KeyGene

        KeyGene builds a safer, more sustainable future for agriculture.

      • HIGHER EDUCATION

        Cambridge University

        Dell Technologies and Intel power United Kingdom's fastest AI supercomputer.


    • 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.
      • Choose your next steps


    • FAQs

    • 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.

  • Questions?
    We're here to help.
    From offering expert advice to solving complex problems, we've got you covered.
    • 1Based on Dell analysis, August 2023.  Dell Technologies offers solutions to support AI workloads across 12 product and service categories

      2Based on Dell analysis of publicly available performance results for AI Image Classification on comparable 8-way GPU servers retrieved from www.mlperf.org on June 27, 2023. Dell PowerEdge XE9680 with NVIDIA® H100 Tensor Core GPUs achieved a score of 13.466 on the MLPerf™ Training v3.0. for AI image classification benchmark in the Available on premise category of Closed Division which is faster than the results achieved by GIGABYTE G593-SD0 server: 13.500; Supermicro AS-8125GS-TNHR and SYS-821GE-TNHR servers, respectively: 13.603 and 13.501; and NVIDIA dgxh100_ngc23.04: 13.601; and Preview category results for Quanta_Cloud_Technology D74H-7U_preview server: 13.721; Azure ND_H100_v5 server: 13.819. Result verified by MLCommons Association. The MLPerf™ name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

      3 Based on Dell analysis, November 2023. Dell Optimizer not available in OptiPlex 3000 series, Latitude Chromebook Enterprise, and Linux-based devices. Feature availability and functionality may vary by model. For more details visit: https://www.delltechnologies.com/asset/en-us/solutions/business-solutions/technical-support/dell-optimizer-features-availability-matrix.pdf.external

      *Dell PowerEdge XE9680 exceeds Supermicro SuperServer SYS-821GE-TNHR performance in four out of the six key AI application benchmarks.

           Based on Dell analysis of publicly available performance results for AI Image Classification on comparable 8-way GPU servers retrieved from www.mlperf.org on June 27, 2023. Dell PowerEdge XE9680 with NVIDIA® H100 Tensor Core GPUs achieved a score of 13.466 on the MLPerf™ Training v3.0. for AI image classification benchmark in the Available on premise category of Closed Division which is faster than the results achieved by GIGABYTE G593-SD0 server: 13.500; Supermicro AS-8125GS-TNHR and SYS-821GE-TNHR servers, respectively: 13.603 and 13.501; and NVIDIA dgxh100_ngc23.04: 13.601; and Preview category results for Quanta_Cloud_Technology D74H-7U_preview server: 13.721; Azure ND_H100_v5 server: 13.819.  Result verified by MLCommons Association. The MLPerf™ name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

      **Dell PowerEdge XE9680 outperformed Supermicro SuperServer SYS-821GE-TNHR and AS-8125GS-TNHR in training AI models for Natural Language Processing .

          Based on Dell analysis of publicly available performance results retrieved from www.mlperf.org on June 27, 2023 for Dell PowerEdge XE9680 with NVIDIA® H100 Tensor Core GPUs which achieved a score of 13.466 on the MLPerf™ Training v3.0 for Image Classification;16.846 on Speech Recognition; 19.985 on Object Detection, heavy-weight; and 5.363 on NLP benchmarks in the Available on premise category of Closed Division which is faster than the results achieved by Supermicro SYS-821GE-TNHR server: 13.501 on Image Classification; 17.919 on Speech recognition; 21.493 on Object Detection, heavy-weight; and 5.383 on NLP. Result verified by MLCommons Association. The MLPerf™ name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

      ***Dell PowerEdge XE9680 outperformed Supermicro SuperServer AS-8125GS-TNHR in six categories when comparing single-node machine learning model training runs.

            Based on Dell analysis of publicly available performance results retrieved from www.mlperf.org on June 27, 2023 for Dell PowerEdge XE9680 with NVIDIA® H100 Tensor Core GPUs which achieved a score of 13.466 on the MLPerf™ Training v3.0 for Image Classification;16.846 on Speech Recognition; and 5.363 on NLP benchmarks in the Available on premise category of Closed Division which is faster than the results achieved by Supermicro AS-8125GS-TNHR and SYS-821GE-TNHR servers, respectively: 13.603 and 13.501 on Image Classification, 19.235 and 17.919 on Speech recognition, and 5.389 and 5.383 on NLP. Result verified by MLCommons Association. The MLPerf™ name and logo are trademarks of MLCommons Association in the United States and other countries. All rights reserved. Unauthorized use strictly prohibited. See www.mlcommons.org for more information.

      ****A broader portfolio of AI solution, services and consumption models compared to Supermicro. Based on a Principled Technologies research paper commissioned by Dell Technologies, "Finding the path to AI success with the Dell AI portfolio. A comparison of the Dell AI portfolio vs. similar offerings from Supermicro", February 2024. Actual results may vary. Full Paper