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Hi all,
I wonder if there's a built-in solution in SageMaker to run distributed training on a g5.12xlarge (4xGPUs)?
From what I can see, SMDDP does not support g5.12xlarge instances, so specifying distributed config in the estimator will not work.
I can hack my way using pytorch\accelerate but I wonder why there's no straightforward way to do it with the SM SDK?
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Hi all,
I wonder if there's a built-in solution in SageMaker to run distributed training on a g5.12xlarge (4xGPUs)?
From what I can see, SMDDP does not support g5.12xlarge instances, so specifying distributed config in the estimator will not work.
I can hack my way using pytorch\accelerate but I wonder why there's no straightforward way to do it with the SM SDK?
Thanks
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