Summary of COMPUTER-ON-MODULES TARGET IOT GATEWAY, AI EDGE COMPUTING
congatec announced 20 new Computer-on-Modules based on Intel 11th Gen Core processors for IoT, including Intel Core vPro, Intel Xeon W-11000E, and Intel Celeron. The modules offer up to 20 PCIe Gen4 lanes, up to 8 cores, 128 GB DDR4 SO-DIMM, integrated AI accelerators, and enhanced graphics for multi-display and massive video stream processing. Target applications include IIoT gateways, AI edge computing, medical imaging, machine vision, autonomous systems, and factory automation, leveraging Intel OpenVINO and support for up to four 4K displays and 8K HDR video.
Parts used in theComputer-on-Modules:
- 11th Gen Intel Core processors (including Intel Core vPro)
- Intel Xeon W-11000E processors
- Intel Celeron processors
- 10nm SuperFin technology CPU package
- Platform Controller Hub (PCH) package
- COM-HPC Client modules
- COM Express Type 6 modules
- PCIe Gen 4.0 lanes (up to 20)
- DDR4 SO-DIMM RAM (up to 128 GB)
- Integrated AI accelerators
- Intel UHD graphics
- Intel OpenVINO toolkit (software support)
congatec – a leading vendor of embedded and edge computing technology – introduces 20 new Computer-on-Modules following the launch of Intel’s 11th generation Core processor for IoT. Featuring 11th Gen Intel Core vPro, Intel Xeon W-11000E, and Intel Celeron processors, the new modules target the most demanding IoT gateway and edge computing applications.
Built on Intel’s 10nm SuperFin technology in a two-package design with dedicated CPU and platform controller hub (PCH) the new flagship COM-HPC Client and COM Express Type 6 modules impress with a new bandwidth benchmark of up to 20 PCIe Gen 4.0 lanes for massive connected real-time IIoT gateway and intelligent edge computing workloads. To process such massive workloads, the new modules boast up to 128 GB DDR4 SO‑DIMM RAM, integrated AI accelerators and up to 8 high-performance CPU cores that achieve up to 65% gain [1] in multi-thread performance and up to 32% gain [2] in single-thread performance. Moreover, visualization, auditory and graphics intensive workloads are enabled with a boost of up to 70% compared to predecessors [3], enhancing performance for these immersive experiences even more.
Flagship applications that directly benefit from these GPU enhancements can be found in surgery, medical imaging and e-health edge applications as congatec’s new platform supports 8K HDR videos for optimum diagnostics. Combined with the platform’s AI capabilities and the comprehensive Intel OpenVINO toolkit, doctors can gain easy access and insights into deep learning based diagnostic data. But this is just one benefit of the integrated Intel UHD graphics, which also supports up to four 4K displays in parallel. In addition, it can process and analyze up to 40 HD 1080p/30fps video streams in parallel for 360 degree views in all directions. These AI infused massive vision capabilities are also important for many other markets, including factory automation, machine vision for quality inspection in manufacturing, safe spaces & cities, as well as collaborative robotics and autonomous vehicles in logistics, agriculture, construction, and public transport, to name just a few.
Source: COMPUTER-ON-MODULES TARGET IOT GATEWAY, AI EDGE COMPUTING
- What processors do the new Computer-on-Modules use?
The modules use 11th Gen Intel Core (including Intel Core vPro), Intel Xeon W-11000E, and Intel Celeron processors. - How much RAM do the modules support?
The modules support up to 128 GB DDR4 SO-DIMM RAM. - How many PCIe Gen4 lanes are available?
The flagship modules provide up to 20 PCIe Gen 4.0 lanes. - Can these modules handle multiple high-resolution displays?
Yes, the integrated Intel UHD graphics support up to four 4K displays in parallel and 8K HDR video. - Are AI capabilities integrated in the modules?
Yes, the modules include integrated AI accelerators and support the Intel OpenVINO toolkit. - What video stream processing can the modules perform?
They can process and analyze up to 40 HD 1080p/30fps video streams in parallel. - What applications are targeted by these modules?
Target applications include IIoT gateways, AI edge computing, medical imaging and e-health, factory automation, machine vision, safe spaces and cities, collaborative robotics, and autonomous vehicles. - What manufacturing technology are the CPUs built on?
The CPUs are built on Intel 10nm SuperFin technology in a two-package design with a dedicated PCH.
