Syslogic develops rugged embedded systems based on Intel Core Raptor Lake for demanding industrial and edge applications. As an Intel Gold Partner, Syslogic combines in-depth processor expertise with industrial-grade system design. The result: high-performance platforms engineered for reliability and long-term deployment.
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Intel® Core Raptor Lake
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Railway + Transportation
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Intel® Core Raptor Lake
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Built on Intel Core Raptor Lake processors (13th generation Intel Core i), Syslogic’s embedded computers deliver high-performance computing for demanding industrial and edge applications. Intel Core Raptor Lake platforms leverage Intel’s performance hybrid architecture, combining powerful Performance-cores with Efficient-cores to optimize workload distribution and enable both peak performance and energy-efficient operation in rugged embedded systems.
Configurations such as the Intel® Core™ i7-1370PRE feature 6 Performance-cores (up to 4.8 GHz) and 8 Efficient-cores (up to 3.7 GHz), providing exceptional multi-threading capabilities for compute-intensive workloads. Intel Core Raptor Lake embedded computers support PCI Express Gen 4, up to USB 4, and modern memory technologies, enabling fast data throughput, flexible expansion, and responsive system behavior. Integrated high-performance graphics further support demanding visualization tasks, multi-display HMI applications, and edge AI processing — all within fanless industrial box PCs and robust edge systems designed for extended temperature ranges from –40°C to +70°C.
Typical applications for Intel Core Raptor Lake embedded computers include industrial automation, machine vision, transportation systems, edge AI, and smart infrastructure. With support for Microsoft® Windows 11 IoT Enterprise and Windows 10 IoT Enterprise, developers benefit from a mature software ecosystem, long-term compatibility, and seamless integration into existing industrial and IoT environments. Combined with Syslogic’s industrial-grade design, ruggedized construction, and long-term availability strategy, Intel Core Raptor Lake platforms provide a powerful and reliable foundation for next-generation industrial solutions.
Syslogic’s Intel Core Raptor Lake embedded computers are engineered for reliable operation in demanding industrial environments. Fanless cooling, rugged aluminum housings, and industrial-grade components ensure stable performance under vibration, temperature extremes from –40°C to +70°C, and exposure to dust and moisture.
Based on Intel Core Raptor Lake processors (13th generation Intel Core i), these systems deliver exceptional computing performance through Intel’s hybrid architecture, combining performance-cores and efficient-cores. This enables powerful yet efficient industrial computers for edge computing, machine vision, and data-intensive applications — all within compact, fanless designs.
Syslogic ensures long product lifecycles through strategic component selection, strict change management, and a fixed Bill of Materials. This minimizes redesign efforts and provides long-term planning reliability for industrial and OEM projects.
Whether you require a high-performance embedded computer for edge AI, machine vision, or data-intensive industrial applications, Intel Core Raptor Lake platforms deliver the processing power needed for advanced workloads. Configurations such as the Intel® Core™ i7-1370PRE, with its hybrid architecture of Performance-cores and Efficient-cores, enable optimized real-time processing, parallel workloads, and AI-driven applications at the edge. Our experts will help you select the ideal rugged embedded system tailored to your performance requirements and deployment environment.
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Intel Core Raptor Lake is the 13th generation of Intel Core i processors, designed to deliver high-performance computing for demanding applications. Based on Intel’s performance hybrid architecture, Intel Core Raptor Lake combines high-performance cores (P-cores) with efficient cores (E-cores) to optimize workload distribution.
For embedded systems, Intel Core Raptor Lake enables powerful x86 platforms that support real-time processing, edge AI, and data-intensive industrial workloads. Processors such as the Intel® Core™ i7-1370PRE integrate up to 6 Performance-cores and 8 Efficient-cores, delivering strong multi-threading performance in rugged embedded environments.
Intel Core Raptor Lake processors are designed for high-performance embedded and industrial applications requiring advanced compute capabilities.
Raptor Lake key advantages:
These capabilities make Intel Core Raptor Lake ideal for industrial PCs, edge AI systems, machine vision platforms, and high-end embedded computers.
Compared to earlier Intel Core generations, Intel Core Raptor Lake introduces an enhanced hybrid architecture with more Efficient-cores and improved scheduling between core types. This results in better multi-threading performance and higher overall efficiency.
In embedded applications, Intel Core Raptor Lake offers improved processing power, higher memory bandwidth, and faster I/O capabilities. Compared to low-power platforms such as Intel Atom architectures, Raptor Lake targets significantly higher performance levels, making it suitable for demanding edge computing and AI-driven workloads.
The Intel® Core™ i7-1370PRE is specifically designed for embedded and industrial use cases. It features 6 Performance-cores (up to 4.8 GHz) and 8 Efficient-cores (up to 3.7 GHz), enabling optimized performance for both real-time tasks and parallel workloads.
Combined with extended temperature support and long-term availability, the i7-1370PRE is well suited for rugged embedded systems operating in harsh environments. It provides the computing power required for edge AI, machine vision, and industrial automation while maintaining reliability in continuous operation.
Embedded systems based on Intel Core Raptor Lake support a wide range of operating systems thanks to the mature x86 ecosystem. Common options include:
This ensures seamless integration into existing industrial IT and OT infrastructures with long-term software compatibility.
