From the course: Advanced Data Processing: Batch, Real-Time, and Cloud Architectures for AI
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Hybrid computing
From the course: Advanced Data Processing: Batch, Real-Time, and Cloud Architectures for AI
Hybrid computing
- [Instructor] In this chapter, we will look at building AI using hybrid computing environments. Let's begin with a review of hybrid computing. What is hybrid computing? It is about combining different types of computing environments, like on-premise infrastructure, cloud computing, and edge devices to create a single end-to-end application. It's one logical application leveraging multiple environments. What are some popular use cases where hybrid computing is used? Edge applications use hybrid computing to run local code on edge devices, while also centrally managing them in the cloud. Smart homes and cities run on multiple devices and are also centrally connected to control centers. Legacy applications running on on-premise infrastructure may integrate to newer applications running in the cloud. In cases where data privacy is needed, parts of the application accessing sensitive data runs on-premise while the rest of the application stack may run in the cloud. Generative AI is…
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