Hybrid AI: Bringing Cloud and Edge Together to Scale Applications Fast

Cloud-native development is helping modern applications connect front-end business logic at the edge with cloud infrastructure. At the same time, AI is becoming foundational to applications everywhere that link sensing, automation, data analysis, and real-time decision-making. As more operational environments at the edge seek to add intelligence, it is changing the dynamics of how software is developed, distributed, and operated at scale. Developers need to be ready to take advantage of this trend, with proficiency in both cutting-edge cloud- and edge-native development practices, along with a keen understanding of how to integrate AI into applications across a software-defined cloud-to-edge infrastructure. As a leader in both cloud-native development and seamless edge intelligence, Intel has worked for years with innovative partners to make smart “edge-to-cloud” applications a reality. And as simple, powerful open-source AI frameworks remove vendor lock-in across the industry, the tools, resources, and support Intel provides make it faster to deploy AI from data ingest to model inference across our widely-available platforms. Intel’s extensive work in driving standards and optimizing the entire application pipeline enables developers to get to market more efficiently and deliver modern applications at a lower cost of ownership across many industries. From Kubernetes to Kafka to FIDO to OpenVINO, Intel provides a fast, efficient, affordable path to innovative services and experiences that run cloud to edge.