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Describe the bug
Docker images freeze on Amazon Linux 2023 AMI (with 30 Gb of space) for marqo:2.0.0 and marqo:latest
To Reproduce
Steps to reproduce the behaviour:
Go to AWS
Lunch EC2 t2 micro instance with Amazon Linux 2023 AMI
SSH into instance
Install docker and try to run marqo:2.0.0 or marqo:latest
Expected behaviour
Vector database up and running
Actual result
Stoped at step "Marqo is deploying the application and waiting for the response from document API to start..." and nothing is happening for 3 hours
Screenshots
If applicable, add screenshots to help explain your problem.
Desktop (please complete the following information):
OS: AWS Linux 2023 AMI
Docker image Version 2.0.0 and latest
Additional context
The text was updated successfully, but these errors were encountered:
Hey Arseniy, thanks for reaching out. The absolute minimum amount of RAM you can use to run marqo is 8GB. We have a ticket out so that marqo will have a more helpful error in this case: #796
The least expensive instance you can use to run marqo is an r7g.medium, but I would recommend a g4dn.xlarge for the best performance. If you want to get this into production, the marqo kubernetes apps or marqo cloud are the best options.
Describe the bug
Docker images freeze on Amazon Linux 2023 AMI (with 30 Gb of space) for marqo:2.0.0 and marqo:latest
To Reproduce
Steps to reproduce the behaviour:
Expected behaviour
Vector database up and running
Actual result
Stoped at step "Marqo is deploying the application and waiting for the response from document API to start..." and nothing is happening for 3 hours
Screenshots
If applicable, add screenshots to help explain your problem.
Desktop (please complete the following information):
Additional context
The text was updated successfully, but these errors were encountered: