What causes AWS_RESOURCE_QUOTA_EXCEEDED?

The AWS account vCPU quota for the requested instance family (e.g., p3, r5) has been reached. The maximum number of running EC2 instances in the region has been hit. Elastic Network Interface (ENI) quota has been exhausted in the VPC. A newly created AWS account has restrictive default quotas that were not pre-increased. A large workload scale-up event consumed quota that other jobs expected to be available

How do I fix AWS_RESOURCE_QUOTA_EXCEEDED?

Open the AWS Service Quotas console and check the current usage vs. limit for the affected resource type. Submit a quota increase request in the AWS Service Quotas console — this typically takes 24-72 hours. In the interim, use alternative instance types that may have available quota (e.g., r5 instead of r4). Terminate unused EC2 instances or stop idle Databricks clusters to free quota. Consider spreading workloads across multiple AWS regions to avoid per-region quota limits

High severitycluster

Power BI Refresh Error:
AWS_RESOURCE_QUOTA_EXCEEDED

What does this error mean?

A Databricks cluster could not be launched because an AWS service quota was exceeded. Common limits include vCPU quotas per instance family, EC2 elastic network interfaces, or Elastic IP addresses.

Common causes

1The AWS account vCPU quota for the requested instance family (e.g., p3, r5) has been reached
2The maximum number of running EC2 instances in the region has been hit
3Elastic Network Interface (ENI) quota has been exhausted in the VPC
4A newly created AWS account has restrictive default quotas that were not pre-increased
5A large workload scale-up event consumed quota that other jobs expected to be available

How to fix it

1Open the AWS Service Quotas console and check the current usage vs. limit for the affected resource type
2Submit a quota increase request in the AWS Service Quotas console — this typically takes 24-72 hours
3In the interim, use alternative instance types that may have available quota (e.g., r5 instead of r4)
4Terminate unused EC2 instances or stop idle Databricks clusters to free quota
5Consider spreading workloads across multiple AWS regions to avoid per-region quota limits

Frequently asked questions

How quickly can AWS quota increases be approved?

Standard quota increases are usually approved within a few hours to days for compute resources. For large increases, open a support case to expedite. Plan ahead for peak workload scaling.

Which quota is most commonly exceeded with Databricks?

Running On-Demand vCPUs per instance family (especially GPU and memory-optimized instances) and Elastic Network Interfaces per region are the most common limits hit by Databricks workloads.