Your AI workloads belong at the edge. But managing and securing edge computing infrastructure is already hard enough, especially at scale, without adding models and AI engines to the mix. Palette EdgeAI is the answer. Edge AI is one of the hottest trends in IT. Gartner predicts that by 2027, 65% of edge workloads will include machine learning and deep learning. But managing edge infrastructure and Kubernetes software stacks is challenging, especially with AI engines and models to deploy too. How do you: Palette EdgeAI helps you deploy and manage the complete stack, from the edge OS and Kubernetes infrastructure, to the models powering your innovative AI apps. EdgeAI enables you to: You have questions. We have answers. Deploy and onboard new edge devices in remote locations, without IT experts on site?￭ Patch and update the entire stack to push newmodel versions and security updates?￭ Maintain the security of edge hardware, and the data on it — which may include proprietary models and sensitive user data?￭ Deploy and onboard Deploy and manage your AI stacks to edge locations at scale, from easy hardware onboarding options to repeatable blueprints that include your chosen AI engine.￭ Update your edge models frequently without risk of downtime, with easy repo integration and safe, version-controlled updates and rollbacks.￭ Secure critical intellectual property and sensitive data, with a complete security architecture from silicon to app, including immutability, secure boot, SBOM scans and air-gap mode. If you want to find out more, make sure to check out our "Why Palette" page for more reasons to choose Palette. From there you can arrange a personal demo and learn more about EdgeAI. Whether you want maximum flexibility, observability at scale, risk-free rolling upgrades or Edge-optimizedK8s distro, we have got you covered. Visit our website and start straight away.