12-07-2024 | Congatec | Industrial
congatec has released new high-performance COMs with i.MX 95 processors from NXP that expand its extensive module portfolio with low-power NXP i.MX Arm processors. In doing so, it underlines its strong partnership with NXP. Customers benefit from straightforward scalability and reliable upgrade paths for existing and new energy-efficient edge AI applications with high-security requirements.
In these applications the new modules deliver the advantages of up to three times the GFLOPS computing performance compared to the previous generation with i.MX8 M Plus processors. The new neural processing unit from NXP called 'eIQ Neutron' doubles the inference performance for AI-accelerated machine vision. Also, the hardware-integrated EdgeLock secure enclave simplifies the implementation of in-house cyber security measures.
The new SMARC modules are created for an industrial temperature range of -40C to +85C, are robust in mechanical terms and optimised for cost- and energy-efficient applications. The integrated high-performance eIQ Neutron NPU allows AI-accelerated workloads to be performed even closer to the local device level. Specific applications for the new SMARC modules can be found in AI-accelerated low-power applications in sectors such as industrial production, machine vision and visual inspection, rugged HMIs, 3D printers, robotics controllers in AMR and AGV, as well as medical imaging and patient monitoring systems. Other target applications include passenger seat back entertainment in buses and aircraft, along with fleet management in transportation, and construction and farming applications.
The company also offers an extensive hardware and software ecosystem and comprehensive design-in-services for simplified and accelerated application development. These include, among other things, evaluation- and production-ready application carrier boards and custom-tailored cooling solutions. In terms of services, congatec offers comprehensive documentation, training and signal integrity measurements for application development.