v1.124.0
Highlights
Happy New Year, and welcome to the release v1.124.0 of Immich. After a long break, we are back! Along with many new contributors. This release adds many enhancements and bug fix...
High performance self-hosted photo and video management solution
Does it mean I would do the first import on desktop, including ML, then I could switch the resulting data (via e.g Docker) to a RPi5 if I get <100 new photos per day?
I’m not sure I understand. Whatever machine is hosting the Immich server will be doing all the processing. Uploading to there will go as fast as your internet connection/storage speed can go, and ML processing will be based on the processing power of the server. You can also manage the ML tasks if you want (Administration > Jobs and/or Settings).
Whatever machine is hosting the Immich server will be doing all the processing
By default yes but it’s possible to do remote ML, cf https://immich.app/docs/guides/remote-machine-learning so my “ideal” setup would be all on RPi5 BUT initial ML tasks (because it’s going to be > 100GB of photos at first) either directly on my PC with GPU or remotely (cf guide).
Does it mean I would do the first import on desktop, including ML, then I could switch the resulting data (via e.g Docker) to a RPi5 if I get <100 new photos per day?
I’m not sure I understand. Whatever machine is hosting the Immich server will be doing all the processing. Uploading to there will go as fast as your internet connection/storage speed can go, and ML processing will be based on the processing power of the server. You can also manage the ML tasks if you want (Administration > Jobs and/or Settings).
By default yes but it’s possible to do remote ML, cf https://immich.app/docs/guides/remote-machine-learning so my “ideal” setup would be all on RPi5 BUT initial ML tasks (because it’s going to be > 100GB of photos at first) either directly on my PC with GPU or remotely (cf guide).