Community & Support
Learn
Marketplace
Discussions
Categories
Discussions
General
Platform
Academic
Partner
Regional
Explore Siemens Communities
User Groups
Documentation
Events
Altair Exchange
Share or Download Projects
Resources
News & Instructions
Programs
YouTube
Employee Resources
This tab can be seen by employees only. Please do not share these resources externally.
Groups
Join a User Group
Support
Home
Discussions
Community Q&A
How can I change the maximum memory setting for RM Server on Azure?
Drhelp
My first post here and new to RM.
How can I change the maximum memory setting for RM Server?
I'm using it on Azure and it keeps running out of memory because the configured max limit is 2GB but the licence limit is over 60GB. I thought I found a solution online but it seems to only apply to RM Server installed on pc/mac. Pls help!
Find more posts tagged with
AI Studio
Server
AWS Azure
Accepted answers
Sharan_Gadi
Hello RMUser, With our latest version 9.5 we have a nice docker management tool to make any changes to the configuration file. You can increase the maximum memory by modifying the following parameter SERVER_MAX_MEMORY as shown in attached image and just click apply configuration.
For any versions lower than 9.5 , please perform following steps:(I am not sure what version of RM you are currently using)
1. Login to the Rapidminer server using putty or any other GUI tools like MobaXterm.
2. cd /rapidminer/docker/rapidminer-home:/persistent-rapidminer-home/configuration folder
3. Edit the max-memory.conf file from 2048MB to how much memory you would like to allocate. We usually recommend around 7GB of memory to be allocated to run the server without any issues.
4. Run the following commands to stop and remove containers, networks , images and volumes.
docker-compose down
5. Run the following command to start and create containers, networks, images and volumes.
docker-compose up
Please let us know if you have any questions and if you can open a support ticket with us, we can help you over a webex session as well.
Thanks
RapidMiner Support.
All comments
Sharan_Gadi
Hello RMUser, With our latest version 9.5 we have a nice docker management tool to make any changes to the configuration file. You can increase the maximum memory by modifying the following parameter SERVER_MAX_MEMORY as shown in attached image and just click apply configuration.
For any versions lower than 9.5 , please perform following steps:(I am not sure what version of RM you are currently using)
1. Login to the Rapidminer server using putty or any other GUI tools like MobaXterm.
2. cd /rapidminer/docker/rapidminer-home:/persistent-rapidminer-home/configuration folder
3. Edit the max-memory.conf file from 2048MB to how much memory you would like to allocate. We usually recommend around 7GB of memory to be allocated to run the server without any issues.
4. Run the following commands to stop and remove containers, networks , images and volumes.
docker-compose down
5. Run the following command to start and create containers, networks, images and volumes.
docker-compose up
Please let us know if you have any questions and if you can open a support ticket with us, we can help you over a webex session as well.
Thanks
RapidMiner Support.
Drhelp
Thanks
Sharan_Gadi
. I was using 9.4. I upgraded to 9.5 as the solution for that version seemed straightforward and it was! It was also a nice introduction to the
docker management tool, which I was unaware of. Thanks!
Melihck
Hi there, I am using 9.9 version of RM AI HUB on Azure.
But when I tried to change allocated memory via "public-ip:5080" got an "invalid configuration" error.
@Sharan_Gadi
do you have an idea, how can I solve this?
Thanks in advacne.
Sharan_Gadi
Hi
@Melihck
,
Looks like there is a synchronization issue between the deployment manager and the actual compose files. You can also make these changes to the docker compose files once you login into the terminal/server and modify the .env file under /rapidminer folder.
Following are the properties :
SERVER_MAX_MEMORY=2048M JOBAGENT_CONTAINER_MEMORYLIMIT=2048
After you make changes - you can restart the instance from Azure portal to take effect.
Thanks
Quick Links
All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)
Groups