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edge-ai

EDGE AI, OPEN SOURCE TOOLS

COMPARING OPTIMIZED MODELS USING RECENT DEVELOPMENTS IN KENNING

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Comparing models with Kenning illustration 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...
OPEN HARDWARE, EDGE AI, OPEN MACHINE VISION

BUILDING NEXT-GEN AI PRODUCTS WITH NVIDIA JETSON AGX ORIN

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NVIDIA Jetson AGX Orin with the Antmicro accessory adapter and SDI-MIPI bridge NVIDIA’s edge computing hardware has been a part of Antmicro’s open hardware platform development throughout all of its generations. This legacy of facilitating proof-of-concept prototyping using open source designs has resulted...
OPEN HARDWARE, EDGE AI

OPEN SOURCE AMD XILINX KRIA ULTRASCALE+ SOM BASEBOARD

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Picture of the Kria K26 SoM devboard Antmicro’s experience with AI vision solutions spans across FPGA, embedded GPU and dedicated ASIC accelerators, around which we had built many open source hardware projects. Besides our hugely successful open NVIDIA Jetson...
EDGE AI, OPEN SOURCE TOOLS

DEPLOYMENT PIPELINES AND ENHANCED MODULARITY IN KENNING

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Diagram depicting the optimization process The field-deployed device systems Antmicro helps its customers build increasingly often use neural networks for tasks such as understanding voice commands, detecting, tracking and telling apart objects in video, or recognizing...
EDGE AI, OPEN SOURCE TOOLS

REPRODUCIBLE CROSS-PLATFORM EDGE AI SYSTEMS WITH YOCTO

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Image illustrating reproducible systems Antmicro has been working with a large number of customers implementing AI software on embedded systems, helping utilize all the advantages of an open source-based approach. To achieve this we created a complete methodology...
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