Why does Google Vertex AI throw timeout errors during large batch inference jobs

Question

With the help of code example tell me Why does Google Vertex AI throw timeout errors during large batch inference jobs?

Answer 1

Google Vertex AI may throw timeout errors during large batch inference jobs due to resource limitations, request size, or network issues. The timeout could occur if the request takes longer than the allowed time or if the batch size is too large for the allocated resources. Here is the code snippet you can refer to:

In the above code we are using the following key points:

• Reduce batch size to avoid timeout.
• Increase timeout in the configuration if applicable.
• Ensure adequate resource allocation for large jobs.