{"id":79551,"date":"2023-05-30T12:40:53","date_gmt":"2023-05-30T09:40:53","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=79551"},"modified":"2025-09-11T11:42:14","modified_gmt":"2025-09-11T08:42:14","slug":"intel-demonstrates-ai-coprocessor-in-meteor-lake","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/intel-demonstrates-ai-coprocessor-in-meteor-lake\/","title":{"rendered":"Intel Demonstrates AI Coprocessor in Meteor Lake"},"content":{"rendered":"

Intel demonstrated the 14th-generation Meteor Lake mobile processor at Computex 2023 on two working laptops. A key feature of the chip is the dedicated neural engine Versatile Processing Unit (VPU), according to ComputerBase<\/a>.<\/p>\n

Meteor Lake is a client CPU of the new generation with a disaggregated chiplet design. The company showcased the processor (designated as Intel 0000) with 16 cores and support for 22 threads.<\/p>\n

According to Wccftech<\/a>, it operates in a configuration with six high-performance cores, eight efficiency cores, and two dedicated to the SoC<\/span>. The final CPU version will belong to the Meteor Lake-P series.<\/p>\n

The chip runs at 0.37 GHz with a base frequency of 3.1 GHz. It is equipped with 1.6 MB of L1 cache, 18 MB of L2 cache and 24 MB of L3 cache.<\/p>\n

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Intel Meteor Lake specifications. Data: Intel.<\/figcaption><\/figure>\n

The VPU is based on Movidius’ third-generation technology, which Intel acquired in 2016. It is designed to accelerate Meteor Lake’s performance in tasks related to AI algorithms and machine learning models.<\/p>\n

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Meteor Lake with VPU. Data: Intel.<\/figcaption><\/figure>\n

In addition, the VPU will be capable of supporting generative AI models, including Stable Diffusion. While such algorithms can run on any compute device with sufficient memory, leveraging CPU\/GPU\/APU capabilities will significantly accelerate neural networks.<\/p>\n

Intel has forged partnerships with GIMP and Adobe to add neural-engine support to their products.<\/p>\n

The Meteor Lake capabilities demo shows image generation using Stable Diffusion through the GIMP editor. A plugin was used to upscale the result. Both technologies rely on Intel’s OpenVINO deep-learning library.<\/p>\n

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