Hybrid Mobile Processors with Integrated AI Acceleration

The Intel Core Ultra Series 3 processors extend the mobile x86 platform with a hybrid CPU architecture and dedicated on-chip AI acceleration, addressing notebooks, AI PCs, and embedded edge systems with defined power envelopes.

Architecture and platform relevance
With the introduction of the Intel Core Ultra Series 3, Rutronik adds a mobile processor generation designed to balance performance density and energy efficiency across consumer, professional, and industrial deployments. The platform combines heterogeneous CPU cores with a discrete neural processing block, reflecting increasing demand for local inference in both mobile computing and the industrial edge.

The processors are built around a hybrid architecture that integrates Performance cores (P-cores), Efficiency cores (E-cores), and Low-Power Efficiency cores (LP-E cores). Depending on configuration, the CPUs scale up to 16 cores, enabling parallel workloads while maintaining controlled power consumption in compact systems.

Differentiation by application segment
Intel positions the Series 3 across clearly separated usage profiles. Core Ultra 5, 7, and 9 variants are intended for mainstream notebooks and business-class AI PCs, combining single- and multicore performance with integrated graphics suitable for productivity and content creation. Selected SKUs integrate Intel Arc graphics, enabling GPU-accelerated workloads without discrete GPUs.

Higher-tier Core Ultra X7 and X9 processors target premium mobile systems and advanced edge nodes. These variants combine up to 16 CPU cores with up to 12 Xe graphics cores and deliver AI acceleration performance of up to 50 TOPS through the integrated NPU. This configuration supports sustained multitasking in mobile workstations, gaming-capable laptops, and high-end edge platforms used in vision systems, robotics, and human–machine interfaces.

Integrated AI processing and edge suitability
A defining technical element of the Series 3 is the inclusion of a dedicated Neural Processing Unit alongside CPU and GPU resources. The NPU is designed to execute AI workloads such as image analysis, speech recognition, and local inference models with lower power consumption than general-purpose compute units. This architecture supports AI PC use cases and enables distributed processing within a digital supply chain, where latency-sensitive decisions are handled locally rather than in centralized data centers.

For the first time in this processor class, selected Series 3 devices have been tested and certified for embedded and industrial use cases. This qualification extends applicability beyond consumer notebooks to industrial edge deployments that require predictable behavior, defined thermal limits, and long-term availability.

Memory, connectivity, and power characteristics
The platform supports high-bandwidth memory configurations, including DDR5 up to 7,200 MT/s and LPDDR5X up to 9,600 MT/s, enabling data-intensive workloads in mobile and embedded designs. Connectivity options include Thunderbolt 4 and Thunderbolt 5, with aggregate bandwidths up to 120 Gbit/s, as well as Wi-Fi 7 for low-latency wireless communication.

Processor Base Power is specified at 25 W, with Maximum Turbo Power scaling up to 80 W depending on system design and cooling capability. This range allows OEMs to tailor systems from thin-and-light notebooks to performance-oriented mobile workstations.

Availability and ecosystem context
The Intel Core Ultra Series 3 processors are available through Rutronik’s distribution channels and are positioned for deployment across mobile computing, AI PCs, and embedded edge systems. By combining heterogeneous compute, integrated AI acceleration, and modern I/O, the platform addresses requirements emerging from AI-enabled applications and the evolving automotive data ecosystem without reliance on external accelerators.

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