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Working with hundreds of open source projects, Antmicro finds itself running countless CI systems, many of which are public-facing CIs using GitHub Actions. For some large-scale CI projects which require significant processing resources, we have been developing...
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When deploying consumer-facing products which process multi-sensor data in the field it’s almost impossible to predict all possible scenarios. But massively scalable, reliable and deterministic testing in simulation can get you much closer to that ideal...
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Due to Antmicro’s focus on the development of latest generation edge AI processing technologies, many of the company’s projects involve vision, video processing, and AI/AR, i.e. applications that push the boundaries of data processing capabilities.
The...
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Many of Antmicro’s commercial projects are based on the company’s open hardware boards for the NVIDIA Jetson ecosystem, with the NVIDIA Jetson Nano/Xavier NX baseboard leading the way as the most notable example. The most recent addition to the Jetson family...
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Antmicro’s Linux-based embedded device development projects often contain many moving parts, including custom hardware (often in multiple revisions), kernels with custom driver configurations, secure boot and OTA update systems as well as user space / application...
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Antmicro’s Kenning framework, introduced during our work on the VEDLIoT edge AI research project, is being used in various local AI processing projects to create deployment flows and runtimes for Deep Neural Network applications on a variety of target hardware...
