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LLamaSharp currently supports efficient execution of AI models on CPU and GPU. With the introduction of Neural Processing Units (NPUs) in new Surface devices (e.g., Surface Pro 11 and Surface Laptop 7 powered by Snapdragon X Elite), adding NPU support could significantly improve the performance and speed of AI model execution.
Objective:
Leverage NPU hardware acceleration for faster AI model inference.
Enhance user experience for Surface device owners with NPU capabilities.
Technical Details:
Target Platform: New Surface devices with NPU (e.g., Qualcomm Snapdragon X Elite).
Benefits: NPUs are optimized for matrix operations and deep learning tasks, offloading compute from CPU/GPU.
API & Usage
No response
How to implement
No response
The text was updated successfully, but these errors were encountered:
Background & Description
LLamaSharp currently supports efficient execution of AI models on CPU and GPU. With the introduction of Neural Processing Units (NPUs) in new Surface devices (e.g., Surface Pro 11 and Surface Laptop 7 powered by Snapdragon X Elite), adding NPU support could significantly improve the performance and speed of AI model execution.
Objective:
Leverage NPU hardware acceleration for faster AI model inference.
Enhance user experience for Surface device owners with NPU capabilities.
Technical Details:
Target Platform: New Surface devices with NPU (e.g., Qualcomm Snapdragon X Elite).
Benefits: NPUs are optimized for matrix operations and deep learning tasks, offloading compute from CPU/GPU.
API & Usage
No response
How to implement
No response
The text was updated successfully, but these errors were encountered: