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in sky/provision/runpod/utils.py, gpu_quantity only factors into min_vcpu_count and min_memory_in_gb, so when I have my resources like:
sky/provision/runpod/utils.py
gpu_quantity
min_vcpu_count
min_memory_in_gb
resources: cloud: runpod accelerators: A100-80GB-SXM:2
I only get 1 A100 in Runpod and not 2. Based on my understanding of Runpod's Python SDK, the proper way to specify the # of GPUs is the gpu_count parameter (see https://github.com/runpod/runpod-python/blob/9e11c994fcceba0d6c3cd35be87084a28d9426d3/runpod/api/ctl_commands.py#L119C12-L119C21).
gpu_count
I'm on runpod==1.6.0, seems like skypilot should be updated to be compatible?
runpod==1.6.0
The text was updated successfully, but these errors were encountered:
That is a great catch @alxiang! Thank you for reporting this! Would you like to submit a PR to fix this?
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sky launch --gpus RTXA6000:2 --cloud runpod
concretevitamin
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in
sky/provision/runpod/utils.py
,gpu_quantity
only factors intomin_vcpu_count
andmin_memory_in_gb
, so when I have my resources like:I only get 1 A100 in Runpod and not 2. Based on my understanding of Runpod's Python SDK, the proper way to specify the # of GPUs is the
gpu_count
parameter (see https://github.com/runpod/runpod-python/blob/9e11c994fcceba0d6c3cd35be87084a28d9426d3/runpod/api/ctl_commands.py#L119C12-L119C21).I'm on
runpod==1.6.0
, seems like skypilot should be updated to be compatible?The text was updated successfully, but these errors were encountered: