hello,
i try to train my model more fast.
i do it with “allocationPolicy”: {
“instances”: [{
“policy”: {“accelerators”: [{“count”: “1”,“type”: “nvidia-tesla-t4”}],“machineType”: “n1-standard-4”,“provisioningModel”: “STANDARD”},“installGpuDrivers”: true}],
“location”: {“allowedLocations”: [“regions/us-east1”]}
and it is fine. i have NVIDIA_T4_GPUS Quota=1 (region : us-east1) and i asked about increasing this quota to 4, but i received inreased quotas “GPUs (all regions)” =4 (i tried more than 3 times to increase NVIDIA_T4_GPUS but received every time increasing “GPUs (all regions)”).
when i set for creation batch\job “accelerators”: [{“count”: “2”,“type”: “nvidia-tesla-t4”}] i received: “Quota checking process decided to delay scheduling for the job job-xxx due to inadequate quotas [Quota: NVIDIA_T4_GPUS, limit: 1, usage: 0, wanted: 2.], next schedule time”.
may be some one was in same situation, and could help me with it ?