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When building edge AI solutions for its customers, Antmicro usually creates dedicated operating system images, tailored for a customer’s particular product to ensure better security and control. Since such systems are often...
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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...
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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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AI algorithms often require significant processing power typically associated with data centers. However, privacy concerns, latency and security considerations, together with increased compute capabilities of edge devices,...
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Antmicro’s engineering team is involved in numerous machine vision projects, ranging from biometrics and security, through industrial process control to drones and autonomous vehicles. These usually rely on an edge AI platform...
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The demand for deploying machine learning models, especially state-of-the-art deep neural networks on edge devices is rapidly growing. Edge AI allows to run inference locally, without the need for a connection to the cloud...
