# Huggingface on Databricks

**URL:** <https://discuss.huggingface.co/t/huggingface-on-databricks/11614>\
**Category:** Intermediate\
**Created:** [November 12, 2021, 3:31am UTC](https://discuss.huggingface.co/t/huggingface-on-databricks/11614 "2021-11-12T03:31:32Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![slowcheetah](https://avatars.discourse-cdn.com/v4/letter/s/858c86/32.png) [@slowcheetah](https://discuss.huggingface.co/u/slowcheetah)\
**Post date:** [November 12, 2021, 3:31am UTC](https://discuss.huggingface.co/t/huggingface-on-databricks/11614/1 "2021-11-12T03:31:32Z")

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I have a multiple GPU cluster (driver + 2x worker; each with 2 GPUs i.e. a total of 6 GPUs) setup on Databricks. I want to have distributed training and inference running on this cluster. Using the distributed modules, I am able to leverage only the GPUs on the driver node.

Is there any way I can make use of all the 6 GPUs (I don’t have terminal access to the cluster)?

Thanks in advance.