• 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.

    • Simplified

      Speed up time-to-results by combining strategic guidance and roadmaps with proven and validated solutions.

    • Faster AI models

      Tailored

      Get the most value of your data with infrastructure designed for your business needs.

    • Trusted

      Build your AI future on a secure foundation, protecting your data and intellectual property.

    • Al-ready portfolio

      Deliver the best AI performance2 and simplify sourcing, deployment, and management of AI infrastructure designed for the Generative AI era – with technology, innovation, and Dell Technologies advantages to deliver smarter, faster outcomes.

    • Validated Designs for AI

      Accelerate time-to-value with solutions designed for AI and GenAI.

      • Expedite deployment and reduce risk with engineering-validated solutions designed and tested for your use case needs. 
      • Run modern applications anywhere, anytime by leveraging flexible platforms and scalable infrastructure in a multicloud ecosystem.

    • 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.

    • Precision Workstations

      AI platforms and solutions you need for faster, more intelligent outcomes. 

      • Tailored to simplify fine-tuning, development, and deployment of GenAI workloads, and to accelerate rapid prototyping.
      • Ideal for sandbox environments and a cost-effective alternative for domain and enterprise-based large language models (LLMs).

    • 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.

      • 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 Designs for GenAI

        Dell Validated Designs are pre-tested, modular solutions that are co-validated by Dell Technologies experts and partners. They streamline planning, deployment, and testing, supporting various GenAI use cases with scalable components that can be tailored to your specific needs.

      • 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. Leveraging pre-trained models can help deliver results faster and cost-effectively.

        Generative AI Validated Design with NVIDIA for Inferencing

        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 with NVIDIA for Model Customization and Tuning

        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.

      • Customer Showcase

      • CyberAgent

        CyberAgent develops Japanese Generative AI to transform digital advertising service. 

      • PathAI

        PathAI leverages advanced technology to support pathology and help enhance treatments and outcomes.

      • KeyGene

        KeyGene builds a safer, more sustainable future for agriculture.

      • Cambridge University

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

      • NHN Cloud

        NHN Cloud selects Dell Technologies to power South Korea’s AI Data Center.

      • University of Limerick

        Dell Technologies and University of Limerick join forces to advance predictive and diagnostic cancer research.

    • 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 Description Resources
      AI for Virtualized Environments VMware-enabled AI with NVIDIA AI Enterprise on Dell infrastructure.
      AI MLOps with cnvrg.io Standardize machine learning pipelines with cnvrg.io to minimize friction for data science and engineering teams from research to production.
      Automatic Machine Learning Automate algorithm selection, feature generation, hyperparameter tuning, and model assessment to ease and speed time to AI.
      Conversational AI

      Deliver extraordinary, effective, and efficient AI-enabled customer and employee experiences on voice and digital channels (including chatbots and virtual assistants).
      Generative AI with NVIDIA for Inferencing Quickly get up and running with a pre-trained model and start producing outputs and value with a joint architecture from Dell Technologies and NVIDIA.
      Generative AI with NVIDIA for Model Customization and Tuning Learn how to re-train an existing GenAI model for your own use cases, with examples of standard customization techniques such as transfer learning and prompt tuning.

       
      NVIDIA Fleet Command By deploying this design, IT admins can take secure, remote control, simplifying deployment and powering resilient AI across the network in minutes.
      Red Hat OpenShift AI on APEX Cloud Platform for Red Hat OpenShift Implement a digital assistant by leveraging a Large Language Model (LLM) and the Retrieval Augmented Generation (RAG) framework.

    • AI Anywhere on
      Data Everywhere

      Virtual Experience: Our vision for data and AI.

    • 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.

      *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.