AI for Medical Imaging Platforms
Integrate modules with Intel Core Ultra Series 3 architecture to unlock real-time image enhancement, automated segmentation, and AI-assisted probe positioning without extra hardware.
COMs with Intel Core Ultra Series 3 Processors
Execute demanding AI workloads locally without extra hardware by using Computer-on-Modules with Intel Core Ultra Series 3.
Beyond Science Fiction
Achieve scalability, IP protection, and faster time-to-market for RAS platforms with a modular design approach.
congatec Adds AI to Ultrasound Systems
Deliver versatile AI performance in a compact modular footprint to protect existing investments and discover what this means for your next design decision.
COMs with Intel Core Ultra Series 3 Processors
Execute demanding AI workloads locally without extra hardware by using Computer-on-Modules with Intel Core Ultra Series 3.
NPU-Accelerated Edge Vision
Embedded vision integration is critical to the success of AI-enabled systems, whether in AMRs, AGVs, quality inspection systems, or collaborative robotics. Preconfigured embedded hardware and software vision building blocks make it easy for developers to quickly create custom solutions.
aReady.IOT vereinfacht die Entwicklung
Erfahren Sie, wie anwendungsfertige Software-Bausteine die IIoT-Konnektivität und -Bereitstellung optimieren. Mit unseren vorintegrierten, modularen Lösungen überwinden Sie die Komplexität, beschleunigen die Markteinführung und können sich ganz auf die Wertschöpfung mit Ihrer Kern-Anwendung konzentrieren.
AI for Medical Imaging Platforms
Integrate modules with Intel Core Ultra Series 3 architecture to unlock real-time image enhancement, automated segmentation, and AI-assisted probe positioning without extra hardware.
Introduction to workload consolidation
Leveraging multicore processors and virtualization, you can consolidate multiple tasks onto a single platform, where each task operates securely and independently from each other. This is an effective way to reduce costs and complexity in embedded applications.
How to design robotic brains
The economic value of the industrial robotics market is growing rapidly and is expected to reach $US 214.60 billion, with a 22.80% compound annual growth rate (CAGR) by 2030. This will be driven, in part, by the integration of new technologies like artificial intelligence (AI), which is expected to contribute $US 44.5 billion to this figure.
Adapting industrial edge servers to evolving markets
Data processing is surging in sectors like manufacturing, energy, and smart cities, creating a booming market for edge servers. According to Global Market Insights, this will create a $29 billion opportunity for near- and far-edge computing solutions by 2025
Ensuring cybersecurity at the industrial edge
Cyber attacks against industrial operations increased by 140% in 2022. Preventing such attacks is non-negotiable, but it can be a significant challenge for industrial operators.
System consolidation in autonomous mobile robots
Software functions define the capabilities of autonomous robots. Consolidating all functions on one system can help to make your designs more powerful, cost effective, and resilient. Learn what is possible and what to consider in our whitepaper.
Etteplan Evaluation Platform leverages congatec Computer-on-Modules (COMs)
Etteplan Develops Next-Generation, All-in-One Evaluation Platform to Accelerate Customers’ Product Development
COM-HPC Intel Xeon D Solution Brief
Three new computer-on-modules for high performance computing (COM-HPC) products from congatec bring the power of a server from the data center to the edge, including industrial environments and outdoor applications.
Solution Brief: COM-HPC for Medical Applications
congatec’s COM-HPC module delivers the design flexibility and high performance needed to power AI, graphics, and other data-intensive applications driving modern healthcare systems.
Intel Xeon D Prozessoren auf COM-HPC Server-on-Modules
Mit der Vorstellung von Intel Xeon D Prozessoren auf COM-HPC Server-on-Modules können Edge-Serverinstallationen erstmals aus den Zwängen der engen thermalen Restriktionen von klimatisierten Serverräumen ausbrechen und endlich überall installiert werden, wo massiver Datendurchsatz bei möglichst geringen Latenzen gefordert ist – bis hin zu deterministischer Echtzeit.
