@@ -453,10 +453,12 @@ class ECSCluster(SpecCluster):
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The amount of CPU to request for the scheduler in milli-cpu (1/1024).
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Defaults to ``1024`` (one vCPU).
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+ See the `troubleshooting guide`_ for information on the valid values for this argument.
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scheduler_mem: int (optional)
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The amount of memory to request for the scheduler in MB.
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Defaults to ``4096`` (4GB).
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+ See the `troubleshooting guide`_ for information on the valid values for this argument.
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scheduler_timeout: str (optional)
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The scheduler task will exit after this amount of time if there are no clients connected.
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@@ -471,10 +473,12 @@ class ECSCluster(SpecCluster):
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The amount of CPU to request for worker tasks in milli-cpu (1/1024).
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Defaults to ``4096`` (four vCPUs).
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+ See the `troubleshooting guide`_ for information on the valid values for this argument.
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worker_mem: int (optional)
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The amount of memory to request for worker tasks in MB.
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Defaults to ``16384`` (16GB).
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+ See the `troubleshooting guide`_ for information on the valid values for this argument.
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worker_gpu: int (optional)
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The number of GPUs to expose to the worker.
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@@ -636,6 +640,7 @@ class ECSCluster(SpecCluster):
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you must ensure the NVIDIA CUDA toolkit is installed with a version that matches the host machine
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along with ``dask-cuda``.
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+ .. _troubleshooting guide: ./troubleshooting.html#invalid-cpu-or-memory
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"""
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def __init__ (
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