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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...
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Open source tools and workflows are becoming increasingly capable in the field of ASIC and FPGA development and implementation, especially in niche applications not addressed by the mainstream, proprietary alternatives. Open source PDKs such as the SkyWater...
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As part of the effort to introduce open source tools and building blocks to ASIC development, together with other CHIPS Alliance members, Antmicro has been supporting the Multi-Project-Wafer (MPW) shuttle program, using the first open source 130nm PDK run...
