When deploying AI services in the cloud, what is the significance of edge computing, especially concerning IoT devices?
- Enhanced cloud scalability
- Improved model complexity
- Increased cloud cost
- Reduced latency
Edge computing significantly reduces latency for AI services in IoT. Processing data closer to the source (IoT device) minimizes the time it takes for results, critical in real-time applications.
Loading...
Related Quiz
- A startup wants to ensure that their application's codebase is always in a deployable state. They are looking for a practice that emphasizes automated testing and continuous feedback. Which approach should they adopt?
- Paravirtualization differs from full virtualization in that:
- ________ clouds are best suited for sectors like government, healthcare, or banking, where several entities have similar cloud needs but want to remain distinct from the public cloud.
- The servers and data storage systems that make up the backbone of a cloud computing system are collectively referred to as the:
- For complex cloud architectures, which feature of cloud monitoring tools is crucial for understanding the interplay between different services?