I am on an H100 node with the following configs for my Pod:
...
containers:
- resources:
limits:
cpu: '64'
memory: 256Gi
rdma/rdma_shared_device_a: '1'
requests:
cpu: '4'
memory: 32Gi
rdma/rdma_shared_device_a: '1'
claims:
- name: gpu
...
- name: MAX_JOBS
value: '32'
which is the same configs I had on the H200 OpenShift Pod.
A full rebuild of PyTorch is taking me over 50 min, whereas on the H200 OpenShift cluster it was only about 20 minutes. I have checked htop and it looks like the cpu's I allocated are being fully utilized, so I am not sure what the issue is. I even increased MAX_JOBS to 64, but there was almost no gain.
I am on an H100 node with the following configs for my Pod:
which is the same configs I had on the H200 OpenShift Pod.
A full rebuild of PyTorch is taking me over 50 min, whereas on the H200 OpenShift cluster it was only about 20 minutes. I have checked htop and it looks like the cpu's I allocated are being fully utilized, so I am not sure what the issue is. I even increased
MAX_JOBSto 64, but there was almost no gain.