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What Do I Do If Deploying a Service Failed Due to Insufficient Quota?
Updated on 2023-01-11 GMT+08:00
What Do I Do If Deploying a Service Failed Due to Insufficient Quota?
During service deployment, error message "A maximum of XXX real-time services are allowed" is returned, indicating that the quota is insufficient.
A maximum of 20 real-time services can be deployed by a user generally. Perform the following operations to resolve this issue:
- Delete malfunctional services.
- Delete services that are not used for a long time.
- Submit a service ticket to apply for a larger quota.
Parent topic: Real-Time Services
Real-Time Services FAQs
- What Do I Do If a Conflict Occurs in the Python Dependency Package of a Custom Prediction Script When I Deploy a Real-Time Service?
- How Do I Speed Up Real-Time Prediction?
- Can a New-Version AI Application Still Use the Original API?
- What Is the Format of a Real-Time Service API?
- How Do I Check Whether an Error Is Caused by a Model When a Real-Time Service Is Running But Prediction Failed?
- How Do I Fill in the Request Header and Request Body of an Inference Request When a Real-Time Service Is Running?
- Why Cannot I Access the Obtained Inference Request Address from the Initiator Client?
- What Do I Do If Deploying a Service Failed Due to Insufficient Quota?
- Why Did My Service Deployment Fail with Proper Deployment Timeout Configured?
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