Intel unveils 9 Meteor Lake-PS processors that are designed for edge computing

Intel recently announced new LGA 1851-ready Core Ultra Meteor Lake-PS processors at the Vision 2024 event. These processors come with Arc graphics and a Neural Processing Unit (NPU) for AI workloads tailored for edge computing.

The Meteor Lake-PS processors are designed for consumers in education, retail, kiosk, industrial, and smart point-of-sale systems for brick-and-mortar stores.

With over 90,000 deployments globally, edge computing is a colossal market for Intel, and with these new processors, the company is trying to solidify its position further.

These edge-focused Meteor Lake CPUs use the new LGA 1851 socket, which feels like it is setting the stage for a revolution in desktop computing. This socket will also be used in the upcoming Core Ultra 200 Arrow Lake-S processors, scheduled for release later this year.

Intel has unveiled nine new Meteor Lake-PS processors so far, comprising five 15W chips and four 45W processors.

The lineup in the 15W TDP category includes Core Ultra 3, Core Ultra 5, and Core Ultra 7 variants, which will have core counts ranging from 8 to 12.

All the processors feature two P-cores alongside E-cores and LPE-cores. Based on the SKU, CPU boost clocks reach up to 4.9GHz.

The Meteor Lake-PS 45W processor lineup offers enhanced capabilities and core counts ranging from 14 to 16 cores, suitable for people who need higher performance.

The Core Ultra 5 models in this category come with 4 P-Cores, 8 E-Cores, and 2 LPE-Cores. However, the Core Ultra 7 models feature 6 P-Cores, 8 E-Cores, and 2 LPE-Cores.

In addition, the CPU boost clock is between 4.5GHz and 5.0GHz, depending on different SKUs to fulfill workload requirements.

With the integration of Arc graphics and a dedicated NPU for AI workloads, Meteor Lake-PS processors are definitely a step forward in computational versatility.

This will empower users across various industries to leverage edge computing power to make decisions faster and gain operational efficiency.

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