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As more AI processes run directly on users’ devices, there’s growing demand for notebooks with the right specs to handle them. The Snapdragon^® processors you’ll find in PCs from Dell Technologies, HP, Lenovo, and Microsoft Surface feature a powerful NPU that makes it all possible.Rewriting text with Copilot, suppressing background noise during calls, extending laptop battery life all rely on the NPU inside the processor to perform smoothly. By choosing a laptop with a Snapdragon processor, you ensure your customer is ready for the AI applications they need today and the innovations coming tomorrow.

Understanding on-device AI with Snapdragon

Snapdragon powered laptops bring AI directly to the device, enabling faster and more efficient user experiences without relying on the cloud. Central to this is the Neural Processing Unit, or NPU: a dedicated processor designed specifically for AI workloads. Instead of running AI tasks on the CPU or GPU, the NPU handles processes such as background noise reduction, image enhancement and real time language translation more efficiently.

This also enables tools such as Copilot and Gemini to run AI features locally on the device, enhancing responsiveness while reducing reliance on cloud processing.

For your customer, this means improved performance, lower power consumption and enhanced privacy, as sensitive data can be processed locally on the device while maintaining responsiveness across everyday applications.

The Snapdragon Difference

Applications benefit from Snapdragon’s heterogeneous system on chip architecture, where CPU, GPU and NPU operate as a coordinated compute platform rather than separate components. The Oryon CPU handles application logic and system control, while the Adreno GPU accelerates parallel workloads such as graphics and data processing. At the same time, the Hexagon NPU executes AI inference workloads, such as neural network operations, with significantly higher efficiency.

This distribution of tasks allows applications to run AI features in parallel without blocking core system processes, reducing latency and improving responsiveness. The shared memory architecture and coordinated scheduling ensure optimal workload placement, resulting in higher performance per watt, lower thermal impact and consistent user experience, even under sustained AI workloads.

Discover more on the Qualcomm AI Developer Blog

Meet on-device Context AI by Snapdragon

Built for the tools that matter most

From productivity to creativity, Snapdragon® processors are optimized for the applications your customers depend on, so every experience just works. Faster, smoother, and built for the new world of AI.

Below, discover just a sample of the apps that are optimized to run on AI PCs with a SnapDragon®-processor: