# Source: https://docs.fireworks.ai/faq-new/models-inference/what-factors-affect-the-number-of-simultaneous-requests-that-can-be-handled.md

# Source: https://docs.fireworks.ai/faq-new/deployment-infrastructure/what-factors-affect-the-number-of-simultaneous-requests-that-can-be-handled.md

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fireworks.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# What factors affect the number of simultaneous requests that can be handled?

The request handling capacity is influenced by multiple factors:

* **Model size and type**
* **Number of GPUs** allocated to the deployment
* **GPU type** (e.g., A100 vs. H100)
* **Prompt size** and **generation token length**
* **Deployment type** (serverless vs. on-demand)