# ask-ai

Linton Ye

02/20/2024, 9:17 PM
hardware requirement for running agent?


02/20/2024, 9:17 PM
The documentation does not specify exact hardware requirements for running a Dagster agent, as the requirements can vary based on the workload and the complexity of the pipelines being executed. However, it is generally recommended to allocate sufficient resources to ensure that the agent can handle the orchestration of pipeline runs without running into resource constraints. For the
services, which are part of the Dagster instance, there was a discussion where a user inquired about the recommended resources. The user mentioned that a Fargate instance with 1 CPU and 2 GB of memory for each service did not seem to be enough, as some groups took a long time to appear in the UI compared to local execution. Unfortunately, this question was left unanswered in the discussion, so we do not have a documented recommendation for these services. When configuring hardware for a Dagster agent, consider the following factors: 1. The size and complexity of the pipelines being executed. 2. The expected load in terms of the number of pipeline runs and concurrent executions. 3. The resource requirements of the tasks within your pipelines, especially if they involve heavy computation or data processing. It's important to monitor the performance and resource utilization of your Dagster agent in your specific environment and adjust the hardware allocation accordingly. If you encounter performance issues, you may need to scale up the resources or optimize your pipelines to run more efficiently. For a more tailored recommendation, you might want to reach out to the Dagster community or support channels with details about your specific use case and workload.