Comments (1)
lespeholt
commented on June 8, 2024
I believe you're right about that. E.g. see the comment just before:
n1-highmem-32 provides 208GBs of RAM, n1-highmem-16 provides 104GBS.
Training on ATARI requires a bit more than 104GBs due to the large replay
buffer, so we need n1-highmem-32, which requires 2 GPUs (see # https://cloud.google.com/ml-engine/docs/using-gpus).
One could arguably use the two GPUs efficiently instead of wasting one.
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