From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Edge computing and cloud-based generative AI

Edge computing and cloud-based generative AI

From the course: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Edge computing and cloud-based generative AI

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- [Instructor] Edge computing and cloud-based generative AI represent optimal tools to boost generative AI capabilities while providing enhanced comprehensive system performance. This combination of technologies is able to provide the best of local computing with the power of leveraging remote cloud servers. Edge computing uses democratized infrastructure for computation where data processing takes place closer to both the data source and endpoint device without solely depending on centralized cloud servers. When using edge computing technology, local processing accelerates data transmission times and diminishes latency. This is needed in cases that leverage generative AI, such as autonomous vehicles or industrial automation, which is useful for IOT device. Cloud platforms provide a wide range of services on a large scale with high flexibility, which makes it ideal for training those complicated models with extended data sets that grow in size. In other words, cloud-based systems…

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