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Multi-Workloads End-to-End QnA and Object Detection Implementation on Intel® Core™ Ultra Processors

Last Updated: Mar 12, 2025

With the increase of processing capability year over year as well as additional compute accelerators like the Neural Processing Unit (NPU), a single system is now capable of running multiple end-to-end workloads like QnA (Question and Answer), video surveillance analytics, and retail applications. Intel® Core™ Ultra Processors have up to 14 CPU cores with 20 threads as well as additional 2 low-power efficient cores that can be allocated to each of the workloads using containerization. The CPU is suitable for low latency workloads, the integrated GPU (iGPU) is for high throughput tasks, and the NPU is targeted for low power sustain workloads.

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