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Dell AI Solutions
Power your advantage with the broadest Generative AI Portfolio.1
Intel® Innovation Built-in
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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.
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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.
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PowerEdge Servers for AI
With GenAI, turn ideas to action faster using our AI-optimized PowerEdge Servers with efficient power and cooling technology.
- PowerEdge XE servers offer superior acceleration and diverse GPU options.
- PowerEdge R760xa boasts high PCIe card density.
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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.
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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.
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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.
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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.
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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.
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An Open Ecosystem of Partners
Embrace broader toolsets and data sources across your AI workflows.
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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.
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Dell Generative AI Solutions
Dell helps you streamline planning, deployment and testing for various GenAI use cases with scalable components that can be tailored to your specific needs. With proven and documented solutions by Dell Technologies experts and partners, you can get up and running faster.
Dell AI solutions for inferencing LLMs on-premises can be up to 75% more cost effective than the public cloud.3
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Use Inferencing with a Pre-Trained Model for Faster Results
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.
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Customize a Pre-Trained Model
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.
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Train a Model From Scratch
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.
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Retrieval-Augmented Generation (RAG) for Enhancing Model Output
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.
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Customer Showcase
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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.
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TRANSPORTATION
Duos Technologies
Duos Technologies improves railroad safety running AI algorithms at the Edge on PowerEdge servers.
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MEDIA & ENTERTAINMENT
CyberAgent
CyberAgent develops Japanese Generative AI to transform digital advertising service.
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MEDIA & ENTERTAINMENT
Taboola
Using AI to deliver relevant and precisely targeted content.
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SCIENTIFIC RESEARCH
KeyGene
KeyGene builds a safer, more sustainable future for agriculture.
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HIGHER EDUCATION
Cambridge University
Dell Technologies and Intel power United Kingdom's fastest AI supercomputer.
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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.
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Resources
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FAQs
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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.
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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.
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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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