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The second generation Intel Arrow Lake (Core Ultra) already supports an AI NPU and is integrated into Linux.

Support for Intel’s next generation Arrow Lake NPU has already been integrated into Linux. This is an important milestone for AI integration in CPUs, as it also allows Linux users to take advantage of the AI capabilities of the new CPUs without additional hardware. Arrow Lake’s NPU is a dedicated AI engine optimized for tasks such as speech recognition, image processing and machine learning. It is integrated into the CPU so it can be used without additional hardware. Intel has released the appropriate PCI IDs required by Intel’s IPVU driver on Linux to support Arrow Lake’s NPU. This means that Linux users will be able to use the NPU for AI applications as soon as the CPUs hit the market.

Source: Intel

The importance of NPU integration in Linux

The integration of Arrow Lake’s NPU into Linux is an important step for Intel, as it makes the AI capabilities of the new CPUs available to a wider range of users. Linux is the most widely used operating system for servers, cloud computing and embedded systems. The integration of Arrow Lake’s NPU with Linux enables developers to build and run AI applications in these important areas.

Source: Intel

 

Intel is not the only manufacturer integrating AI capabilities into its CPUs. AMD has taken a similar approach with its XDNA platform. Integrating a dedicated AI engine into CPUs is an important step for AI development. It makes AI performance accessible to a wider range of users and enables developers to integrate AI applications into their products.

Arrow Lake CPUs coming in the second half of 2024

Intel Arrow Lake CPUs are expected to hit the market in the second half of 2024. They will feature a new core architecture as well as many changes from the first-generation Core Ultra family, codenamed Meteor Lake. The lineup will be available for both desktop and mobility platforms and will be based on the next 20A process node. These CPUs will enable a new generation of AI applications relevant to a wide range of applications, from facial recognition to autonomous driving.

Source: Intel

Source: Phoronix

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