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deep-learning

EDGE AI, OPEN SOURCE TOOLS

BENCHMARKING DEEP NEURAL NETWORKS ON NVIDIA JETSON AGX ORIN WITH KENNING

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Benchmarking on NVIDIA Jetson AGX Orin illustration 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...
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...
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...
EDGE AI, OPEN MACHINE VISION

INTRODUCING MODULAR RUNTIME FLOWS TO KENNING

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Diagram depicting Kenning deployment flow Kenning is Antmicro’s library aiming to simplify the workflow with machine learning applications on edge devices. It is used for testing and deploying ML pipelines on a variety of embedded platforms regardless of the underlying...
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