From the course: Cloud Architecture: Core Concepts

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Cloud architecture and AI

Cloud architecture and AI

From the course: Cloud Architecture: Core Concepts

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Cloud architecture and AI

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- [Instructor] Cloud computing architecture plays a vital role in designing and deploying AI systems by providing scalable, flexible, and cost effective infrastructure. Many organizations choose AI systems in the cloud because the cloud providers offer a prebuilt AI ecosystem that is ready to go on demand. Building AI in the cloud allows organizations to leverage vast amounts of data and computational resources while ensuring agility and efficiency in AI application development. The architecture begins with the compute layer where AI models are trained and deployed. Cloud platforms like AWS, Azure and Google Cloud provide powerful resources such as GPUs, TPUs, and serverless computing to handle the intensive processing demands of machine learning and deep learning tasks. These resources allow organizations to train complex AI models at scale, reducing processing time while managing costs effectively. The data layer is critical in AI development as cloud storage systems like object…

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