“ERROR”, “error”: "OutOfMemoryError: Task was killed due to the node running low on memory.\nMemory on the node (IP: 172.31.6.213, ID: 9c9e42d5874264e5d92e6f911a30a27be1eac71a7764130e45c0da60) where the task (task ID: 6f583cb255c69937b122c0f49be9bbfab317ead402000000, name=train_test, pid=5809, memor…

@tonidep this is related to the previous issue. [image] Problem with 8 worker thanks @Jules_Damji . I try to grow up my image for the worker

I’m remotely running a python algorithm on a ray cluster on aws. This algorithm is very computationally expensive. We can also assume the simultaneous execution of multiple algorithms on the cluster. What reasoning do I have to do to size: 1) core cpu and memory of head 2)…

core cpu and memory of head number of workers, number of cores per worker, and memory per worker That depends on use-case-to-use-case. There is no magic rule of thumb or formula how many cores and memory your head node must have. You might have to try and observe the memory consumption of your c…

Problem node running low on memory

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Jules_Damji April 7, 2023, 6:13pm 2

@tonidep this is related to the previous issue.

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Problem node running low on memory

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