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This week on Dev Kit Weekly, we’re going to be reviewing and raffling this AAEON de next-TGU8 single board computer. Industry wants AI. Industry also has to deal with harsh environments and limited resources, which keep ruggedness and power-efficiency at the top of the design criteria whether a platform is artificially intelligent or not. And at that intersection lies AAEON’s* de next-TGU8 SBC. Measuring just 86 mm x 55 mm, the AAEON de next-TGU8 SBC is the industry’s smallest form factor board hosting an Intel® Core™ i-level processor. And the Tiger Lake UP3 processors’ performance pays off in this small package, optimizing the de next-TGU8’s for tasks like local execution of AI workloads and real-time, deterministic decision-making required to build out the intelligent industrial edge. The de next-TGU8 is compatible with tools like the Intel OpenVINO Toolkit that optimizes neural network algorithms for fast inferencing on CPUs, GPUs, and other Intel processing units. OpenVINO works with models developed in frameworks like TensorFlow 2, Caffe, MXNet, and ONNX-compatible environments to streamline the development and deployment of edge AI systems. You can also work with it through the Intel Dev Cloud. It even comes with an open Model Zoo that provides several pre-trained models and demos that can be downloaded from Github, including examples of time forecasting and object detection that may be particularly interesting to industrial systems engineers working on AI projects. The single board computer is in pre-production, but if you’d like to purchase your own, you can request a quote through the product page on the AAEON website. Or, if you feel like playing games, you can always enter the raffle to win this board here for absolutely free. And if you are our lucky winner, we’ll even ship it to you anywhere in the world (also for free). So, good luck in this week’s raffle, but all you AI developers out there should keep in mind that we have a strict no-artificially intelligent raffle winners policy here on Dev Kit Weekly so no tricky entry attempts, please. Also follow us on social for more content! Instagram: / embeddedcomputingdesign Twitter: / embedded_comp Facebook: / embedded.computing.design Linkedin: / embedded-computing-design