# Are worker and worker\_node used interchangeably? **URL:** \ **Category:** Ray Clusters\ **Created:** [August 7, 2024, 1:23pm UTC](https://discuss.ray.io/t/are-worker-and-worker-node-used-interchangeably/15486 "2024-08-07T13:23:27Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![Shuying](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/shuying/32/6406_2.png) [@Shuying](https://discuss.ray.io/u/Shuying)\ **Post date:** [August 7, 2024, 1:23pm UTC](https://discuss.ray.io/t/are-worker-and-worker-node-used-interchangeably/15486/1 "2024-08-07T13:23:27Z")
**How severe does this issue affect your experience of using Ray?** - Medium: It contributes to significant difficulty to complete my task, but I can work around it. Very confused on the `workers` vs `worker_nodes` in Ray. Would appreciate some help!! - When lauching a ray cluster using `setup_ray_cluster(num_cpus_worker_node=2, max_worker_nodes=16)` .I ran it on one databricks instance with 32 cores and 1 gpu, it actually did create 16 `worker_nodes`. So this seems to suggest one worker\_node is actually a worker process? Or it does create a `node` and we can further define `worker process` on each `worker_node`? - When using `ScalingConfig(num_workers=1)`, here the `num_workers` is number of worker processes or number of worker nodes? what is the relationship between a worker and a worker\_node? - When using `ScalingConfig(num_workers=4, use_gpu=True)` , the warning tells me I am requesting **one cpu and four gpu.** I am very confused by why ---
**Author:** ![Sam\_Chan](https://sea2.discourse-cdn.com/flex020/user_avatar/discuss.ray.io/sam_chan/32/5011_2.png) [@Sam\_Chan](https://discuss.ray.io/u/Sam_Chan)\ **Post date:** [August 13, 2024, 5:15am UTC](https://discuss.ray.io/t/are-worker-and-worker-node-used-interchangeably/15486/2 "2024-08-13T05:15:00Z")
what ray version on databricks are you running?