Throttling

Adjusting the rate of API requests helps manage resource usage and control expenses while ensuring system reliability.

##Term
Throttling (ˈθrɒt-lɪŋ)

##Definition
Throttling is the technique of deliberately reducing or capping the number of API requests to an AI system. This helps prevent the system from being overloaded and keeps the associated costs under control.

###Where you’ll find it
In AI applications, throttling settings can usually be found in the API or server management panel. It's often part of cloud-based AI services where users can adjust settings based on their subscription level or plan.

###Common use cases

  • To avoid excessive charges by keeping API requests within the limits of a paid plan.
  • To ensure fair resource distribution among multiple users on the same platform.
  • To maintain optimal performance and stability of AI systems by preventing unnecessary strain.

###Things to watch out for

  • Setting throttling too low might lead to delays in data processing, affecting application performance.
  • Users need to actively monitor their usage to ensure settings match their needs.
  • Changes in API usage patterns can require adjustments to throttling settings to balance performance and costs.

###Related terms

  • API Management
  • Rate Limiting
  • Resource Allocation
  • Cost Management
  • System Performance

Pixelhaze Tip: Always start with a higher throttle setting and gradually adjust it downward based on actual usage and system response. This proactive approach can help optimize both performance and cost without hitting extreme throttling that could disrupt service.
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