Dell Pro AI Studio

Bring AI to your Dell PC

Deploy and scale on-device AI solutions using Dell AI PCs to lower cloud dependency, strengthen data privacy, and maintain enterprise-grade security.
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Empower workforces with on-device AI

Revolutionize productivity with scalable, intelligent, device-driven solutions.
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Turn every Dell AI PC into a personal productivity engine
Equip employees with intelligent, on‑device AI that accelerates everyday workflows, automates routine tasks, and adapts to how they work—without relying on the cloud.

Scale AI confidently across your organization
Standardize on Dell AI PCs to deliver consistent, device‑driven AI experiences at scale, with manageability that helps IT roll out, update, and govern AI tools with ease.

Keep data on the device, not in the cloud
Run AI workloads directly on the Dell AI PC to help reduce shadow AI use and keep sensitive company information on the device, improving privacy and control.
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Streamline AI development for developers

Bring on-device AI to your fleet faster and simpler than ever before.
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Reduce complexity with validated frameworks
Our pre-validated AI models and customized runtime packages are optimized for diverse-silicon fleets allowing you to accelerate your workflow and cut through the complexity of on-device AI app development. Focus on innovation, not troubleshooting, with solutions optimized for speed and performance from the start.

Fast-track development with the right tools
Industry-standard model interfaces to both on-device and remote AI, while Dell agent frameworks expedite development. Enjoy development flexibility and deployment efficiency, allowing you to go from prototype to production with ease.
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Stronger data privacy and fleet control for IT

Unify fleet control, data security, and compliant on‑device AI with easy lifecycle management.
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Keep data private
On-device AI keeps data local and ensures control over keeping company information private.

Standardize secure, compliant AI across every device
Prevent use of non-compliant AI with IT-approved apps that use secure AI models that automatically solve for mixed silicon environments, making overall AI lifecycle management easy.

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Roll out secure, privacy‑first AI to every device today

Explore our AI solutions, agent framework and resources designed to make deploying and managing on-device AI applications for your business simpler, faster and more secure.
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Drive on-device AI innovation with Dell Services

Not ready to explore things on your own? We’re here to assist.
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Actionable AI strategy
Get started with a customized plan designed to deliver measurable outcomes.

Accelerated success
We build and test your on-device AI solution using best practices and validated models with speed and efficiency.

Expert deployment
Our team of experts handle deployment, optimization and configuration so you can focus on innovation with confidence.

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Frequently Asked Questions

AI applications created with Dell’s pre-converted AI models and/or the Dell agent framework can be run on-device on select Dell AI PCs running any version of Microsoft Windows 11 Pro or higher. The AI model used in the app will determine the silicon requirements. AI models designed to run on NPUs 40 TOPs or greater. Select models can also be run on NVIDIA RTX Pro Blackwell and Ada GPUs, beginning at 2000+. The devices will also need to be running .NET Desktop Runtime 8 and ASP.NET Core Runtime 8.x.

Dell accelerates the development cycle by providing pre-converted AI models with associated runtime components and Dell’s proprietary AI framework that manages model execution and interaction with an OpenAI compliant API, allowing organizations to move from prototype to production much faster.

By processing data directly on your PC, on-device AI cuts down on cloud usage and data transfer costs that usually require a monthly fee. On-device AI saves you money while providing privacy, compliance, and scalability.

Memory requirements will vary depending on the AI model used. Please see the respective model card to ensure your device has enough memory to support the model in which the application was built.

The logic will not allow the application to load. Non-compatible devices can access a cloud-based version of the app, however the benefits of cloud/infrastructure cost savings won’t be realized, and, unless a private infrastructure-based cloud is used, both speed and data privacy may be compromised.

In general, language models will consume roughly 1 GB of memory per billion parameters with typical quantization preparation for NPUs. Multiple models may be loaded in parallel on a system up to system memory limits without substantial inference performance impact; concurrent inference execution of loaded models will split available accelerator resources.

Dell ensures governance and security through multi-tiered testing of our pre-converted AI models for vulnerabilities and file integrity, using tools like Palo Alto Network’s Prisma AIRS to detect threats. On-device inferencing keeps data private and local. IT admins maintain control by deciding app access and ensuring data stays on user devices. They can deploy custom, compliant AI apps to prevent shadow AI usage.

There are no costs or fees associated with leveraging our models and tools, nor is anything pre-installed.

Files and resources can be found on GitHub and Dell.com.

Absolutely. We offer OpenAI compatible REST API, enabling applications to toggle between cloud and local inference effortlessly. This flexibility allows for optimized performance based on specific use cases.

On-device apps are the perfect solution when internet connectivity or reliability are a concern, or when data security or privacy are paramount. The on-device AI apps you deploy inference directly on the PC, so no internet connectivity is needed, nor does any data leave the device.