congatec launches 10 new COM-HPC and COM Express Computer-on-Modules with 12th Gen Intel Core processors
[Partner Content] congatec introduces the 12th Generation Intel Core mobile and desktop processors on 10 new COM-HPC and COM Express Computer-on-Modules.
congatec – a leading vendor of embedded and edge computing technology – introduces the 12th Generation Intel Core mobile and desktop processors (formerly code named Alder Lake) on 10 new COM-HPC and COM Express Computer-on-Modules. Featuring the latest high performance cores from Intel, the new modules in COM-HPC Size A and C as well as COM Express Type 6 form factors offer major performance gains and improvements for the world of embedded and edge computing systems. Most impressive is the fact that engineers can now leverage Intel’s innovative performance hybrid architecture. Offering of up to 14 cores/20 threads on BGA and 16 cores/24 threads on desktop variants (LGA mounted), 12th Gen Intel Core processors provide a quantum leap [1] in multitasking and scalability levels. Next-gen IoT and edge applications benefit from up to 6 or 8 (BGA/LGA) optimized Performance-cores (P-cores) plus up to 8 low power Efficient-cores (E-cores) and DDR5 memory support to accelerate multithreaded applications and execute background tasks more efficiently.
In addition, the mobile BGA processors with, up to 96 Execution Units of the integrated Intel Iris Xe GPU have been estimated to deliver extraordinary improvements of up to 129% [2] in graphics performance for immersive user experience and can also process parallelized workloads faster, such as artificial intelligence (AI) algorithms, as compared to the 11th Gen Intel Core processors.
Optimized for highest embedded client performance, the graphics of the LGA processor based modules delivers now up to 94 % faster performance and its image classification inference performance has nearly tripled with up to 181% higher throughput [3]. In addition the modules offer massive bandwidth to connect discrete GPUs for maximum graphics and GPGPU based AI performance. Compared to the BGA versions, these and all other peripherals benefit from doubled lane speed as they come with ultra-fast PCIe 5.0 interface technology in addition to PCIe 4.0 off the processor. Furthermore, the desktop chipsets provide up to 8x PCIe 3.0 lanes for additional connectivity and the mobile BGA variants also offer up to 16x PCIe 4.0 lanes off the CPU and up to 8 PCIe 3.0 lanes off the chipset.
Target industrial markets for both BGA and LGA variants can be found wherever high end embedded and edge computer technology is deployed. This includes, for example, edge computers and IoT gateways incorporating multiple virtual machines for smart factories and process automation, AI based quality inspection and industrial vision, real-time collaborative robotics, and autonomous logistics vehicles for warehouses and shipping. Typical outdoor applications include autonomous vehicles and mobile machines, video security and gateway applications in transportation and smart cities, as well as 5G cloudlets and edge devices requiring AI supported packet inspection.
In addition, the mobile BGA processors with, up to 96 Execution Units of the integrated Intel Iris Xe GPU have been estimated to deliver extraordinary improvements of up to 129% [2] in graphics performance for immersive user experience and can also process parallelized workloads faster, such as artificial intelligence (AI) algorithms, as compared to the 11th Gen Intel Core processors.
Optimized for highest embedded client performance, the graphics of the LGA processor based modules delivers now up to 94 % faster performance and its image classification inference performance has nearly tripled with up to 181% higher throughput [3]. In addition the modules offer massive bandwidth to connect discrete GPUs for maximum graphics and GPGPU based AI performance. Compared to the BGA versions, these and all other peripherals benefit from doubled lane speed as they come with ultra-fast PCIe 5.0 interface technology in addition to PCIe 4.0 off the processor. Furthermore, the desktop chipsets provide up to 8x PCIe 3.0 lanes for additional connectivity and the mobile BGA variants also offer up to 16x PCIe 4.0 lanes off the CPU and up to 8 PCIe 3.0 lanes off the chipset.
Target industrial markets for both BGA and LGA variants can be found wherever high end embedded and edge computer technology is deployed. This includes, for example, edge computers and IoT gateways incorporating multiple virtual machines for smart factories and process automation, AI based quality inspection and industrial vision, real-time collaborative robotics, and autonomous logistics vehicles for warehouses and shipping. Typical outdoor applications include autonomous vehicles and mobile machines, video security and gateway applications in transportation and smart cities, as well as 5G cloudlets and edge devices requiring AI supported packet inspection.
