# Serve containerized model using Ray Serve?

**URL:** <https://discuss.ray.io/t/serve-containerized-model-using-ray-serve/11353>\
**Category:** Ray Serve\
**Created:** [July 12, 2023, 1:00am UTC](https://discuss.ray.io/t/serve-containerized-model-using-ray-serve/11353 "2023-07-12T01:00:01Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![manasamalleshappa](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/manasamalleshappa/32/4737_2.png) [@manasamalleshappa](https://discuss.ray.io/u/manasamalleshappa)\
**Post date:** [July 12, 2023, 1:00am UTC](https://discuss.ray.io/t/serve-containerized-model-using-ray-serve/11353/1 "2023-07-12T01:00:01Z")

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I did get the sense from the documentation that model can be loaded to memory and serve deployment can be created for this case, but just wanted to check if it’s possible to serve custom containerized model?