A broadcasting firm wants to examine a large number of images for specific events, seeking to scale based on audience interest while reducing on-site overhead. Which choice best meets these needs?
Use a managed service designed for dynamic workloads
Rely on container-based tasks in a localized environment
Build a dedicated cluster with GPU acceleration for multiple image transformations
Implement a small on-site setup with localized event processing
A remotely managed option designed for dynamic workloads accommodates unpredictable fluctuations in image volume while lowering on-premises complexity. Building a local cluster involves higher resource usage. Container-based setups require deeper oversight. A small local setup addresses fewer demands and might not support sudden growth.
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